How Web Crawling Can Help Venture Capital Firms

How Web Crawling Can Help Venture Capital Firms

Venture capital firms are constantly on the lookout of innovative start-ups for investment. Whether you provide financial capital to early-stage start-ups in IT, software products, biotechnology or other booming industries, you will need the right information as soon as possible. In general, analysing media data to discover and validate insights is one of key areas in which analysts work. Hence, constantly monitoring popular media outlets is one of the ways VCs can deploy to spot trends. Read on to understand how web crawling can not only speed up this whole process but also improve the workflow and accuracy of insights.

What is web crawling

Web crawling simply refers to the use of automated computer programs to visit websites and extract specific bits of information. This is the same technology used by search engines to find, index and serve search results for user queries. Web crawling, as you’d have guessed is a technical and niche process. It takes skilled programmers to write programs that can navigate through the web to find and extract the needed data.

There are DIY tools, vertical specific data providers and DaaS (Data as a service) solutions that VC firms can deploy for crawling.  Although there is the option of setting up an in-house crawling setup, this isn’t recommended for Venture Capital firms. The high tech-barrier and complexity of web crawling process can lead to loss of focus for the VC firms. DaaS can be the ideal option as it’s suitable for recurring and large-scale requirements which only a hosted solution can offer.

How web crawling can help Venture Capital firms

Crawling start-up and entrepreneurship blogs using a web crawling service can help VC firms avail the much-needed data that they can use to discover new trends and validate their research. This can complement the existing research process and make it much more efficient.

1. Spot trends

Spotting new trends in the market is extremely important for venture capital firms. This helps identify the niches that have high probability of bringing in profit. Since investing in companies that have higher chances of succeeding is what Venture capital firms do, the ability to spot trends becomes an invaluable tool.

Web crawling can harvest enough data to identify trends in the market. Websites like Techcrunch and Venturebeat are great sources of start-up related news and information. Media sites like these talk about trending topics constantly. To spot trends in the market, you could use a web crawling solution to extract the article title, date and URL for the current time period and run this data through an analytics solution to identify the most used words in the article titles and URLs. Venture capital firms can then use these insights to target newer companies in the trending niches. Technology blogs, forums and communities can be great places to find relevant start-ups.

2. Validate findings

The manual research by the analysts needs to be validated before the firm can go ahead with further proceedings. Validation can be done by comparing the results of the manual work with the relevant data extracted using web crawling. This not only makes validation much easier but also helps in the weeding out process, thus reducing the possibilities of making mistakes. This can be partially automated by using intelligent data processing/visualisation tools on top the data.

3. Save time

Machines are much faster than humans. Employing web crawling to assist in the research processes in a venture capital firm can save the analysts a lot of time and effort. This time can be further invested in more productive activities like analytics, deep research and evaluation.

Source:-https://www.promptcloud.com/blog/web-crawling-for-venture-capital-firms

Data Scraping Doesn’t Have to Be Hard

All You Need Is the Right Data Scraping Partner

Odds are your business needs web data scraping. Data scraping is the act of using software to harvest desired data from target websites. So, instead of you spending every second scouring the internet and copying and pasting from the screen, the software (called “spiders”) does it for you, saving you precious time and resources.

Departments across an organization will profit from data scraping practices.

Data scraping will save countless hours and headaches by doing the following:

- Monitoring competitors’ prices, locations and service offerings
- Harvesting directory and list data from the web, significantly improving your lead generation
- Acquiring customer and product marketing insight from forums, blogs and review sites
- Extracting website data for research and competitive analysis
- Social media scraping for trend and customer analysis
- Collecting regular or even real time updates of exchange rates, insurance rates, interest rates, -mortgage rates, real estate, stock prices and travel prices

It is a no-brainer, really. Businesses of all sizes are integrating data scraping into their business initiatives. Make sure you stay ahead of the competition by effectively data scraping.

Now for the hard part

The “why should you data scrape?” is the easy part. The “how” gets a bit more difficult. Are you savvy in Python and HTML? What about JavaScript and AJAX? Do you know how to utilize a proxy server? As your data collection grows, do you have the cloud-based infrastructure in place to handle the load? If you or someone at your organization can answer yes to these questions, do they have the time to take on all the web data scraping tasks? More importantly, is it a cost-effective use of your valuable staffing resources for them to do this? With constantly changing websites, resulting in broken code and websites automatically blacklisting your attempts, it could be more of a resource drain than anticipated.

Instead of focusing on all the issues above, business users should be concerned with essential questions such as:

- What data do I need to grow my business?
- Can I get the data I need, when I want it and in a format I can use?
- Can the data be easily stored for future analysis?
- Can I maximize my staffing resources and get this data without any programming knowledge or IT assistance?
- Can I start now?
- Can I cost-effectively collect the data needed to grow my business?

A web data scraping partner is standing by to help you!

This is where purchasing innovative web scraping services can be a game changer. The right partner can harness the value of the web for you. They will go into the weeds so you can spend your precious time growing your business.

Hold on a second! Before you run off to purchase data scraping services, you need to make sure you are looking for the solution that best fits your organisational needs. Don’t get overwhelmed. We know that relinquishing control of a critical business asset can be a little nerve-wracking. To help, we have come up with our steps and best practices for choosing the right data scraping company for your organisation.

1) Know Your Priorities

We have brought this up before, but when going through a purchasing decision process we like to turn to Project Management 101: The Project Management Triangle. For this example, we think a Euler diagram version of the triangle fits best.
Data Scraping and the Project Management Triangle

In this example, the constraints show up as Fast (time), Good (quality) and Cheap (cost). This diagram displays the interconnection of all three elements of the project. When using this diagram, you are only able to pick two priorities. Only two elements may change at the expense of the third:

- We can do the project quickly with high quality, but it will be costly
- We can do the project quickly at a reduced cost, but quality will suffer
- We can do a high-quality project at a reduced cost, but it will take much longer
Using this framework can help you shape your priorities and budget. This really, in turn, helps you search for and negotiate with a data scraping company.

2) Know your budget/resources.

This one is so important it is on here twice. Knowing your budget and staffing resources before reaching out to data scraping companies is key. This will make your search much more efficient and help you manage the entire process.

3) Have a plan going in.

Once again, you should know your priorities, budget, business objectives and have a high-level data scraping plan before choosing a data scraping company. Here are a few plan guidelines to get you started:

- Know what data points to collect: contact information, demographics, prices, dates, etc.
- Determine where the data points can most likely be found on the internet: your social media and review sites, your competitors’ sites, chambers of commerce and government sites, e-commerce sites your products/competitors’ products are sold, etc.
- What frequency do you need this data and what is the best way to receive it? Make sure you can get the data you need and in the correct format. Determine whether you can perform a full upload each time or just the changes from the previous dataset. Think about whether you want the data delivered via email, direct download or automatically to your Amazon S3 account.
- Who should have access to the data and how will it be stored once it is harvested?
- Finally, the plan should include what you are going to do with all this newly acquired data and who is receiving the final analysis.

4) Be willing to change your plan.

This one may seem counterintuitive after so much focus on having a game plan. However, remember to be flexible. The whole point of hiring experts is that they are the experts. A plan will make discussions much more productive, but the experts will probably offer insight you hadn’t thought of. Be willing to integrate their advice into your plan.

5) Have a list of questions ready for the company.

Having a list of questions ready for the data scraping company will help keep you in charge of the discussions and negotiations. Here are some points that you should know before choosing a data scraping partner:
- Can they start helping you immediately? Make sure they have the infrastructure and staff to get - you off the ground in a matter of weeks, not months.
- Make sure you can access them via email and phone. Also make sure you have access to those -actually performing the data scraping, not just a call center.
- Can they tailor their processes to fit with your requirements and organisational systems?
- Can they scrape more than plain text? Make sure they can harvest complex and dynamic sites -with JavaScript and AJAX. If a website’s content can be viewed on a browser, they should be-- able to get it for you.
- Make sure they have monitoring systems in place that can detect changes, breakdowns, and -quality issues. This will ensure you have access to a persistent and reliable flow of data, even - when the targeted websites change formats.
- As your data grows, can they easily keep up? Make sure they have scalable solutions that could - handle all that unstructured web data.
- Will they protect your company? Make sure they know discretion is important and that they will not advertise you as a client unless you give permission. Also, check to see how they disguise their scrapers so that the data harvesting cannot be traced back to your business.

6) Check their reviews.

Do a bit of your own manual data scraping to see what others business are saying about the companies you are researching.

7) Make sure the plan the company offers is cost-effective.

Here are a few questions to ask to make sure you get a full view of the costs and fees in the estimate:
- Is there a setup fee?
- What are the fixed costs associated with this project?
- What are the variable costs and how are they calculated?
- Are there any other taxes, fees or things that I could be charged for that are not listed on this -quote?
- What are the payment terms?

Source Url :-http://www.data-scraping.com.au/data-scraping-doesnt-have-to-be-hard/

Why Customization is the Key Aspect of a Web Scraping Solution

Why Customization is the Key Aspect of a Web Scraping Solution

Every web data extraction requirement is unique when it comes to the technical complexity and setup process. This is one of the reasons why tools aren’t a viable solution for enterprise-grade data extraction from the web. When it comes to web scraping, there simply isn’t a solution that works perfectly out of the box. A lot of customization and tweaking goes into achieving a stable setup that can extract data from a target site on a continuous basis.

Customization web scraping service

This is why freedom of customization is one of the primary USPs of our web crawling solution. At PromptCloud, we go the extra mile to make data acquisition from the web a smooth and seamless experience for our client base that spans across industries and geographies. Customization options are important for any web data extraction project; Find out how we handle it.

The QA process

The QA process consists of multiple manual and automated layers to ensure only high-quality data is passed on to our clients. Once the crawlers are programmed by the technical team, the crawler code is peer reviewed to make sure that the optimal approach is used for extraction and to ensure there are no inherent issues with the code. If the crawler setup is deemed to be stable, it’s deployed on our dedicated servers.

The next part of manual QA is done once the data starts flowing in. The extracted data is inspected by our quality inspection team to make sure that it’s as expected. If issues are found, the crawler setup is tweaked to weed out the detected issues. Once the issues are fixed, the crawler setup is finalized. This manual layer of QA is followed by automated mechanisms that will monitor the crawls throughout the recurring extraction, hereafter.

Customization of the crawler

As we previously mentioned, customization options are extremely important for building high quality data feeds via web scraping. This is also one of the key differences between a dedicated web scraping service and a DIY tool. While DIY tools generally don’t have the mechanism to accurately handle dynamic and complex websites, a dedicated data extraction service can provide high level customization options. Here are some example scenarios where only a customizable solution can help you.

File download

Sometimes, the web scraping requirement would demand downloading of PDF files or images from the target sites. Downloading files would require a bit more than a regular web scraping setup. To handle this, we add an extra layer of setup along with the crawler which will download the required files to a local or cloud storage by fetching the file URLs from the target webpage. The speed and efficiency of the whole setup should be top notch for file downloads to work smoothly.

Resize images

If you want to extract product images from an Ecommerce portal, the file download customization on top of a regular web scraping setup should work. However, high resolution images can easily hog your storage space. In such cases, we can resize all the images being extracted programmatically in order to save you the cost of data storage. This scenario requires a very flexible crawling setup, which is something that can only be provided by a dedicated service provider.

Extracting key information from text

Sometimes, the data you need from a website might be mixed with other text. For example, let’s say you need only the ZIP codes extracted from a website where the ZIP code itself doesn’t have a dedicated field but is a part of the address text. This wouldn’t be normally possible unless you write a program to be introduced into the web scraping pipeline that can intelligently identify and separate the required data from the rest.
Extracting data points from site flow even if it’s missing in the final page

Sometimes, not all the data points that you need might be available on the same page. This is handled by extracting the data from multiple pages and merging the records together. This again requires a customizable framework to deliver data accurately.

Automating the QA process for frequently updated websites

Some websites get updated more of than others. This is nothing new; however, if the sites in your target list get updated at a very high frequency, the QA process could get time-consuming at your end. To cater to such a requirement, the scraping setup should run crawls at a very high frequency. Apart from this, once new records are added, the data should be run through a deduplication system to weed out the possibility of duplicate entries in the data. We can completely automate this process of quality inspection for frequently updated websites.

Source:https://www.promptcloud.com/blog/customization-is-the-key-aspect-of-web-scraping-solution

Data Extraction/ Web Scraping Services

Making an informed business decision requires extracting, harvesting and exploiting information from diverse sources. Data extraction or web scraping (also known as web harvesting) is the process of mining information from websites using software, substantiated with human intelligence. The content 'scraped' from web sources using algorithms is stored in a structured format, so that it can be manually analyzed later.

Case in Point: How do price comparison websites acquire their pricing data? It is mostly by 'scraping' the information from online retailer websites.

We offers data extraction / web scraping services for retrieving data for advanced data processing or archiving from a variety of online sources and medium. Nonetheless, data extraction is a time consuming process, and if not conducted meticulously, it can result in loads of errors. A leading web scraping company, we can deliver required information within a short turnaround time, employing an extensive array of online sources.

Our Process Of Data Extraction/ Web Scraping, Involves:

- Capturing relevant data from the web, which is raw and unstructured
- Reviewing and refining the obtained data sets
- Formatting the data, consistent with the requirements of the client
- Organizing website and email lists, and contact details in an excel sheet
- Collating and summarizing the information, if required

Our professionals are adept at extracting data pertaining to your competition, their pricing strategy, gathering information about various product launches, their new and innovative features, etc., for enterprises, market research companies or price comparison websites through professional market research and subject matter blogs.

Our key Services in Web Scraping/ Database Extraction include:

We offer a comprehensive range of data extraction and scraping services right from Screen Scraping, Webpage / HTML Page Scraping, Semantic / Syntactic Scraping, Email Scraping to Database Extraction, PDF Data Extraction Services, etc.

- Extracting meta data from websites, blogs, and forums, etc.
- Data scraping from social media sites
- Data quarrying for online news and media sites from different online news and PR sources
- Data scraping from business directories and portals
- Data scraping pertaining to legal / medical / academic research
- Data scraping from real estate, hotels & restaurant, financial websites, etc.

Contact us to outsource your Data Scraping / Web Extraction Services or to-  learn more about our other data related services.

Source Url :-http://www.data-entry-india.com/data-extraction-web-scraping-services.html

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Article : 4
3 Advantages of  Web Scraping for Your Enterprise

In today’s Internet-dominated world possessing the relevant information for your business is the key to success and prosperity. Harvested in a structural and organized manner, the information will help facilitate business processes in many ways, including, but not limited to, market research, competition analysis, network building, brand promotion and reputation tracking. More targeted information means a more successful business and with the widespread competition in place, the strive for better performances is crucial.

The results of data harvesting prove to be an invaluable assistance in the age when you have the need to be informed and if you want to stand your chance in the highly competitive modern markets. This is the reason why web data harvesting has long become an inevitable component of a successful enterprise and it is a highly useful tool in both kick-starting and maintaining a functioning business by providing relevant and accurate data when needed.

However good your product or service is, the simple truth is that no-one will buy it if they don't want it or believe that they don't need it. Moreover, you won't persuade anyone that they want or need to buy what you're offering unless you clearly understand what it is that your customers really want. This way, it is crucial to have an understanding of your customers’ preferences. Always remember - they are the kings of the market and they determine the demand. Having this in mind, you can use web data scraping to get the vital information and be able to make the crucial, game-changing decisions to make your enterprise the next big thing.

Enough about how awesome web scraping is in theory! Now, let’s zoom in on 3 specific and tangible advantages that it can provide for your business, helping You benefit from them.

1. Provision of huge amounts of data

It won’t come as a surprise to anyone that there is an overflowing demand for new data for businesses across the globe. This happens because the competition increases day by day. Thus, the more information you have about your products, competitors, market etc. the better are your chances of expanding and persisting in the competitive business environment. This is a challenge but your enterprise is in luck because web scraping is specifically designed to collect the data which can be later used to analyse the market and make the necessary adjustments. But if you think that collecting data is as simple as it sounds and there is no sophistication involved in the process, think again: simply collecting data is not enough. The manner in which data extraction processes flow is also very important; as mere data collection itself is useless. The data needs to be organized and provided in a useable format to be accessible to wide masses. Good data management is key to efficiency. It’s instrumental to choose the right format, because its functions and capacities will determine the speed and productivity of your efforts, especially when you deal with large chunks of data. This is where excellent data scraping tools and services come in handy. They are widely available nowadays and are able to satisfy your company’s needs in a professional and timely manner.

2.  Market research and demand analyses

Trends and innovations allow you to see the general picture of your industry: how it’s faring today, what’s been trendy recently and which ones faded quickly. This way, you can avoid repeating mistakes of unsuccessful businesses, as well as, foresee how well yours will do, and possibly predict new trends.

Data extraction by web crawling will also provide you with up-to-date information about similar products or services in the market. Catalogues, web stores, results of promotional campaigns – all that data can be harvested. You need to know your competitors, if you want to be able to challenge their positions on the market and win over customers from them.

Furthermore, knowledge about various major and minor issues of your industry will help you in assessing the future demand of your product or service. More importantly, with the help of web scraping your company will remain alert for changes, adjustments and analyses of all aspects of your product or service.

3.  Business evaluation for intelligence

We cannot stress enough the importance of regularly analysing and evaluating your business. It is absolutely crucial for every business to have up-to-date information on how well they are doing and where they are amongst others in the market. For instance, if a competitor decides to lower the prices in order to grow their customer base you need to be prepared whether you can remain in the industry despite lowering prices. This can only be done with the help of data scraping services and tools.

Moreover, extracted data on reviews and recommendations from specific websites or social media portals will introduce you to the general opinion of the public. You can also use this technique to identify potential new customers and sway their opinions in your favor by creating targeted ads and campaigns.

To sum it up, it is undeniable that web scraping is a proven practice when it comes to maintaining a strong and competitive enterprise. Combining relevant information on your industry, competitors, partners and customers with thought-out business strategies and promotional campaigns, as well as, market research and business analyses will prove to be a solid way of establishing yourself in the market. Whether you own a startup or a successful company, keeping a finger on the pulse of the ever-evolving market will never hurt you. In fact, it might very well be the single most important advantage that will differentiate you from your competitors.

Source Url :- https://www.datahen.com/blog/3-advantages-of-web-scraping-for-your-enterprise

Website Data Scraping Services

To help you in creating information databases, business portals and mailing lists, we provide efficient and accurate website data scraping services. We have been serving many worldwide clients for their specific requirements and delivering them structured data after collecting from World Wide Web. Our capabilities allow us to scrape data from an assortment of sources including websites, blogs, podcasts, and online directories etc.

 We have a team of skilled and experienced web scraping professionals who can deliver you results in the file format you needed such as Excel, CSV, Access, TXT and My SQL. We have expertise in automated as well as manual data scraping that ensure one hundred percent accuracy in the outcome. Our web data scraping professionals not only help you in gathering high-value data from the internet but also enable you to improve strategic insights and create new business opportunities.

What our website data scraping services include?

We provide a wide range of website data scraping services including data collection, data extraction, screen scraping and web data scraping. With its web scraping services, Data Outsourcing India helps you to crawl thousands of websites and gather useful information or data flawlessly. Using our web data scraping service, we can extract phone numbers, email addresses, reviews, ratings, business addresses, product details, contact information (name, title, department, company, country, city, state, etc.) and other business related data from following sources:

- Market place portals
- Auction portals
- Business directories
- Government online databases
- Statistics data from websites
- Social networking sites
- Online shopping portals
- Job portals
- Classifieds websites
- Hotels and restaurant portals
- News portals

Why outsource website data scraping services to us?

Our web data extraction experts have in-depth knowledge for screen scraping processes and it enables us to extract essential information from any online portal or database. If you outsource website data scraping to us, we assure you about accurate collection of information in easy to retrieval format. Here are some key benefits you gain with us:

- Tailor made processes to suit any kind of need
- Strict security and confidentiality policies
- A rigorous Quality Control (QC) process
- Leverage an optimum mix of techniques and technology
- Almost 60-65% savings on operational cost
- You get you project completed in industry’s best TAT
- Round-the-clock customer support
- Access to a dedicated team of website data scraping professionals

 With our quick, accurate and affordable web scraping services, we are helping worldwide large as well as medium size companies. Our clients are from different industries- including real estate, healthcare, banking, finance, insurance, automobiles, marketing, academics, human resources, ecommerce, manufacturing, travel, hotels and more. The-  multifaceted experience facilitates us in delivering every online data scraping project with ZERO error rates.

Source Url:-http://www.dataoutsourcingindia.com/website-data-scraping-services.html

Things to Consider when Evaluating Options for Web Data Extraction

Things to Consider when Evaluating Options for Web Data Extraction

Web data extraction possess tremendous applications in the business world. There are businesses that function solely based on data, others use it for business intelligence, competitor analysis and market research among other countless use cases. While everything is good with data, extracting massive data from the web is still a major roadblock for many companies, more so because they are not going through the optimal route. We decided to give you a detailed overview of different ways by which you can extract data from the web. This could help you make the final call while evaluating different options for web data extraction.

Different routes you can take to web data

Although different solutions exist for web data extraction, you should opt for the one that’s most suited for your requirement. These are the various options you can go with:

1. Build it in-house

2. DIY web scraping tool

3. Vertical-specific solution

4. Data-as-a-Service

1.   Build it in-house

If your company is technically rich, meaning you have a good technical team that can build and maintain a web scraping setup, it makes sense to build a crawler setup in-house. This option is more suitable for medium sized businesses with simpler requirements when it comes to data. However, building an in-house setup is not the biggest challenge- maintaining it is. Since web crawlers are really fragile and are vulnerable to the changes on target websites, you will have to dedicate time and labour into the maintenance of the in-house crawling setup.

Building your own in-house setup will not be easy if the number of websites you need to scrape are high or the websites aren’t using simple and traditional coding practices. If the target websites use complicated dynamic code, building your in-house setup becomes a bigger hurdle. This can hog your resources especially if extracting data from the web is not a competency of your business. Scaling up with your in-house crawling setup could also be a challenge as this would require high end resources, an extensive tech stack and a dedicated internal team. If your data needs are limited and the target websites simple, you can go ahead with an in-house crawling setup to cover your data needs.

Pros:

- Total ownership and control over the process
- Ideal for simpler requirements

2.   DIY scraping tools

If you don’t want to maintain a technical team that can build an in-house crawling setup and infrastructure, don’t worry. DIY scraping tools are exactly what you need. These tools usually require no technical knowledge as such and can be used by anyone who is good with the basics. They usually come with a visual interface where you can configure and deploy your web crawlers. The downside however, is that they are very limited in their capabilities and scale of operation. They are an ideal choice if you are just starting out with no budgets for data acquisition. DIY web scraping tools are usually priced very low and some are even free to use.

Maintenance would still be a challenge that you have to face with the DIY tools. As web crawlers are susceptible to becoming useless with minor changes in the target sites, you still have to maintain and adapt the tool from time to time. The good part is that it doesn’t require technically sound labour to handle them. Since the solution is readymade, you will also save the costs associated with building your own infrastructure for scraping.

With DIY tools, you will also be sacrificing on the data quality as these tools are not known for providing data in a ready to consume format. You will either have to employ an automated tool to check the data quality or do it manually. With these downsides apart, DIY tools can cater to simple and small scale data requirements. 

Pros:

- Full control over the process
- Prebuilt solution
- You can avail support for the tools
- Easier to configure and use

3.   Vertical-specific solution

You might be able find a data provider catering to only a specific industry vertical. If you could find one that has data for the industry that you are targeting, consider yourself lucky. Vertical specific data providers can give you data that is comprehensive in nature which improves the overall quality of the project. These solutions typically give you datasets that are already extracted and is ready to use.

The downside is the lack of customisation options. Since the provider is focusing on a specific industry vertical, their solution is less flexible to be altered depending on your specific requirements. They won’t let you add or remove data points and the data is given as is. It will be hard to find a vertical-specific solution that has data exactly the way you want. Another important thing to consider is that your competitors have access to the same data from these vertical-specific data providers. The data you get is hence less exclusive, but this may or may not be a deal breaker depending upon your requirement.

Pros:

- Comprehensive data from the industry
- Faster access to data
- No need to handle the complicated aspects of extraction

4.   Data as a service (DaaS)

Getting the required data from a DaaS provider is by far the best way to extract data from the web. With a data provider, you are completely relieved from the responsibility of crawler setup, maintenance and quality inspection of the data being extracted. Since these are companies specialised in data extraction with a pre-built infrastructure and dedicated team to handle it, they can provide this service to you at a much lower cost than what you’d incur with an in-house crawling setup.

In the case of a DaaS solution, all you have to do is provide them with your requirements like the data points, source websites, frequency of crawl, data format and the delivery methods. DaaS providers have high end infrastructure, resources and expert team to extract data from the web efficiently.

They will also have far superior knowledge in extracting data efficiently and at scale. With DaaS, you also have the comfort of getting data that’s free from noise and is formatted properly for compatibility. Since the data goes through quality inspections at their end, you can focus only on  applying data to your business. This can greatly reduce the workload on your data team and improve the efficiency.

Customisation and flexibility are other great advantages that come with a DaaS solution. Since these solutions are meant for the large enterprises, their offering is completely customisable for your exact requirements. If your requirement is large scale and recurring, it’s always best to go with a DaaS solution.

Pros:

- Completely customisable for your requirement
- Takes complete ownership of the process
- Quality checks to ensure high quality data
- Can handle dynamic and complicated websites
- More time to focus on your core business

Source:https://www.promptcloud.com/blog/choosing-a-data-extraction-service-provider

Benefits of Acquiring Web Data Scrapper in Business

Benefits of Acquiring Web Data Scrapper in Business

Data is the most important thing required in today's marketing world. The data harvested can be utilized for multiple purposes in the world of marketing by numerous people. It is believed that the amount of data you have makes you stronger in the market against your competitors.

The only restriction in this process is how to get data from internet or how to extract data from website? To culminate this barrier of yours there are plenty of data scrapping devices available in this category. Well more than devices there are companies that provide data extracting services to fulfill user's requirement.

In these two extractors devices are far more reliable and self operative than organizations. There are plenty of benefits that a web data extractor provides in comparison to organizations. With data extractors you have the freedom to choose the topic of your own and get data from the websites. Were in an outsourcing they will provide you one thing at a time for which you will have to pursue again & again.

Numerous organizations have opted for the web data scrapper to discover specific information according to their requirement for instance. Site pages are fabricated utilizing content based imprint up dialects (HTML and XHTML), and much of the time contain an abundance of valuable information in content structure. Be that as it may, most site pages are intended for human end-clients and not for simplicity of mechanized use. In light of this, tool that rub web substance were made. A web scrapper is an API to concentrate information from a site.

Regularly, information exchange between projects is expert utilizing data structures suited for computerized handling by PCs, not individuals. Such exchange arrangements and conventions are normally inflexibly organized; all around recorded, effectively parsed, and keep vagueness to a base. All the time, these transmissions are not comprehensible by any stretch of the imagination. That is the reason the key component that recognizes information scratching from standard parsing is that the yield being scratched was expected for showcase to an end-client.

In all aspects data scrapping is better to be done by a tool rather than taking assistance of an organization.

Source:http://www.sooperarticles.com/internet-articles/products-articles/benefits-acquiring-web-data-scrapper-business-1477753.html#ixzz4hnBWRp2z

The Manifold Advantages Of Investing In An Efficient Web Scraping Service

The Manifold Advantages Of Investing In An Efficient Web Scraping Service

Data Scraping Services is an extremely professional and effective online data mining service that would enable you to combine content from several webpages in a very quick and convenient method and deliver the content in any structure you may desire in the most accurate manner. Web scraping may be referred as web harvesting or data scraping a website and is the special method of extracting and assembling details from various websites with the help from web scraping tool along with web scraping software. It is also connected to web indexing that indexes details on the online web scraper utilizing bot (web scraping tool).

The dissimilarity is that web scraping is actually focused on obtaining unstructured details from diverse resources into a planned arrangement that can be utilized and saved, for instance a database or worksheet. Frequent services that utilize online web scraper are price-comparison sites or diverse kinds of mash-up websites. The most fundamental method for obtaining details from diverse resources is individual copy-paste. Nevertheless, the objective with Data Scraping Services is to create an effective web scraping software to the last element. Other methods comprise DOM parsing, upright aggregation platforms and even HTML parses. Web scraping might be in opposition to the conditions of usage of some sites. The enforceability of the terms is uncertain.

While complete replication of original content will in numerous cases is prohibited, in the United States, court ruled in Feist Publications v Rural Telephone Service that replication details is permissible. Bitrate service allows you to obtain specific details from the net without technical information; you just need to send the explanation of your explicit requirements by email and Bitrate will set everything up for you. The latest self-service is formatted through your preferred web browser and formation needs only necessary facts of either Ruby or Javascript. The main constituent of this web scraping tool is a thoughtfully made crawler that is very quick and simple to arrange. The web scraping software permits the users to identify domains, crawling tempo, filters and preparation making it extremely flexible. Every web page brought by the crawler is effectively processed by a draft that is accountable for extracting and arranging the essential content. Data scraping a website is configured with UI, and in the full-featured package this will be easily completed by Data Scraping. However, Data Scraping has two vital capabilities, which are:

- Data mining from sites to a planned custom-format (web scraping tool)

- Real-time assessment details on the internet.

Source:http://www.sooperarticles.com/internet-articles/products-articles/manifold-advantages-investing-efficient-web-scraping-service-668690.html#ixzz4hDqL4EFk

Web Extraction – Extracting Web Data

Web Extraction – Extracting Web Data

Web extraction is a complex process of extracting web pages which often takes more time than expected, depending on quantity and quality of data to be extracted. Web grabber and web extractors are designed to locate URL's, crawl, web pages, contents, compare relevancy and than extract HTML-based data to MS Excel, CSV, XML, database or any text format.

Employing web extraction techniques, services and tools help capture large volume of valuable information from un-structured resources, databases quickly regardless of time and place and it could be stored in different formats which in turns analyzed by intellectuals and used to meet day to day business challenges.

Corporate Houses and Business Often Employ or Outsource Web Extraction Projects to Companies to Get Access of Desired Data For Purposes Like:

• Web extraction for competitive analysis
• Website extraction
• Web extraction for sales legal generation
• Data extraction for web automation
• Web extraction for business intelligence
• E commerce web data extraction
• Extract images and files
• Extracted data in the required format
• Social media website, data extraction
• Collecting reviews on product and services
• Business process re-engineering
• Gathering a large amount of structured data
• Web 2.0 data extraction
• Online Social Network users detail, behavior extraction
• Extracting data to analyzing human behavior

Web extraction provides scalable online marketing intelligence to business. Outsourcing professional web extractors help get end-to-end business data solutions with in a matter of few hours. Accuracy and reliability of data extracted by professionals is on higher side compared to automation tools only.

Source:http://dataextractionservicesindia.blogspot.in/2013/03/web-extraction-extracting-web-data.html

Know about what is screen scraping!

Know about what is screen scraping!

In present scenario, world is becoming hugely competitive. Business owners always look excited to get benefits as well as best results. They are eager to grow their business hugely as well as effective manner. Currently, majority of businessmen are available online. There are several industries that are available over the web today and trying to make effective promotion of their products as well as services with the support of their particular websites. Majority of people are now using internet services for several purposes. People use online facilities to get contact details of other users. More to the point, businessmen usually look excited to get software that can make them able to get the preferred data in an instant manner. In this case, screen scraping tool will be the best option among all. At present, there are a number of people who are excited to know that What Is Screen Scraping . As far as screen scrapping is concerned, it is a process that makes you able to extract huge data from website in a very little time.

There would be really no other best option instead of screen scraping software when it comes to mining huge amount of data from websites in a very short time. This specific program is getting huge attention of the people nowadays. This program is extremely capable to extract huge amount of data from websites in a matter of seconds. It has helped business professionals a lot in terms of growing their popularity and benefit both. With the support of this program, one can easily extract relevant data in a hassle-free manner. Not only this, this software can also easily drag out large files from the websites. Moreover, this software is also capable to drag images from some particular website with so much ease.

This software can not only be used for the purpose of extracting data from websites but also you can submit and fill forms with its support. There is need of too much time when it comes to filling or copying the data manually. This software is now a renowned as well as one of the fastest means of extracting data from websites. This software not only helpful in simplifying data extraction process but also helps websites to become friendlier for the users. To know more about what is screen scrapping, one can also take help of internet facility to fulfill their purpose.

Source:http://www.amazines.com/article_detail.cfm/6086054?articleid=6086054

Web Scraping: Top 15 Ways To Use It For Business.

Web Scraping: Top 15 Ways To Use It For Business.

Web Scraping also commonly known as Web Data extraction / Web Harvesting / Screen Scrapping is a technology which is loved by startups, small and big companies. In simple words it is actually an automation technique to extract the unorganized web data into manageable format, where the data is extracted by traversing each URL by the robot and then using REGEX, CSS, XPATH or some other technique to extract the desired information in choice of output format.

So, it's a process of collecting information automatically from the World Wide Web. Current web scraping solutions range from the ad-hoc, requiring human effort, to even fully automated systems that are able to convert entire web sites into structured information. Using Web Scraper you can build sitemaps that will navigate the site and extract the data. Using different type of selectors the Web Scraper will navigate the site and extract multiple types of data - text, tables, images, links and more.

Here are 20 ways to use web scraping in your business.

 1. Scrape products & price for comparison site – The site specific web crawling websites or the price comparison websites crawl the stores website prices, product description and images to get the data for analytic, affiliation or comparison.  It has also been proved that pricing optimization techniques can improve gross profit margins by almost 10%. Selling products at a competitive rate all the time is a really crucial aspect of e-commerce. Web crawling is also used by travel, e-commerce companies to extract prices from airlines’ websites in real time since a long time. By creating your custom scraping agent you can extract product feeds, images, price and other all associated details regarding the product from multiple sites and create your own data-ware house or price comparison site. For example trivago.com

2. Online presence can be tracked- That’s also an important aspect of web scraping where business profiles and reviews on the websites can be scrapped. This can be used to see the performance of the product, the user behavior and reaction. The web scraping could list and check thousands of the user profiles and the reviews which can be really useful for the business analytics.

3. Custom Analysis and curation- This one is basically for the new websites/ channels wherein the scrapped data can be helpful for the channels in knowing the viewer behavior. This is done with the goal of providing targeted news to the audience. Thus what you watch online gives the behavioral pattern to the website so they know their audience and offer what actually the audience like.

4. Online Reputation - In this world of digitalization companies are bullish about the spent on the online reputation management. Thus the web scrapping is essential here as well. When you plan your ORM strategy the scrapped data helps you to understand which audiences you most hope to impact and what areas of liability can most open your brand up to reputation damage. The web crawler could reveal opinion leaders, trending topics and demographic facts like gender, age group, GEO location, and sentiment in text. By understanding these areas of vulnerability, you can use them to your greatest advantage.

5. Detect fraudulent reviews - It has become a common practice for people to read online opinions and reviews for different purposes. Thus it’s important to figure out the Opinion Spamming: It refers to "illegal" activities example writing fake reviews on the portals. It is also called shilling, which tries to mislead readers. Thus the web scrapping can be helpful crawling the reviews and detecting which one to block, to be verified, or streamline the experience.

6. To provide better targeted ads to your customers- The scrapping not only gives you numbers but also the sentiments and behavioral analytic thus you know the audience types and the choice of ads they would want to see.

7. Business specific scrapping – Taking doctors for example: you can scrape health physicians or doctors from their clinic websites to provide a catalog of available doctors as per specialization and region or any other specification.
  
8. To gather public opinion- Monitor specific company pages from social networks to gather updates for what people are saying about certain companies and their products. Data collection is always useful for the product’s growth.
  
9. Search engine results for SEO tracking- By scraping organic search results you can quickly find out your SEO competitors for a particular search term. You can determine the title tags and the keywords they are targeting. Thus you get an idea of which keywords are driving traffic to a website, which content categories are attracting links and user engagement, what kind of resources will it take to rank your site.

10. Price competitiveness- It tracks the stock availability and prices of products in one of the most frequent ways and sends notifications whenever there is a change in competitors' prices or   in the market. In ecommerce, Retailers or marketplaces use web scraping not only to monitor their competitor prices but also to improve their product attributes.  To stay on top of their direct competitors, nowadays e-commerce sites have started closely monitoring their counterparts. For example, say Amazon would want to know how their products are performing against Flipkart or Walmart, and whether their product coverage is complete. Towards this end, they would want to crawl product catalogs from these two sites to find the gaps in their catalog. They’d also want to stay updated about whether they’re running any promotions on any of the products or categories. This helps in gaining actionable insights that can be implemented in their own pricing decisions. Apart from promotions, sites are also interested in finding out details such as shipping times, number of sellers, availability, similar products (recommendations) etc. for identical products.

11. Scrape leads- This is another important use for the sales driven organization wherein lead generation is done. Sales teams are always hungry for data and with the help of the web scrapping technique you can scrap leads from directories such as Yelp, Sulekha, Just Dial, Yellow Pages etc. and then contact them to make a sales introduction. To crapes complete information about the business profile, address, email, phone, products/services, working hours, Geo codes, etc. The data can be taken out in the desired format and can be used for lead generation, brand building or other purposes..
 
12. For events organization – You can scrape events from thousands of event websites in the US to create an application that consolidates all of the events together.

13. Job scraping sites : Job sites are also using scrapping to list all the data in one place. They scrape different company websites or jobs sites to create a central job board website and have a list of companies that are currently hiring to contact. There is also a method to use Google with LinkedIn to get lists of people by company which are geo-targeted by this data.  The only thing that was difficult was to extract from the professional social networking site is contact details,  although now they are readily available through other sources by writing scraping scripts methods to collate this data. For example naukri.com

14. Online reputation management : Do you know 50% of consumers read reviews before deciding to book a hotel. Now scrape review, ratings and comments from multiple websites to understand the customer sentiments and analyze with your favorite tool.

15. To build vertical specific search engines- This is new thing popular in the market but again for this a lot of data is needed hence web scrapping is done for as much public data as possible because this volume of data is practically impossible to gather.

Web scraping can be used to power up the following businesses like Social media monitoring Travel sites, Lead generation, E-commerce, Events listings, Price comparison, Finance, Reputation monitoring and the list is never ending
Each business has competition in the present world, so companies scrape their competitor information regularly to monitor the movements. In the era of big data, applications of web scraping is endless. Depending on your business, you can find a lot of area where web data can be of great use.  Web scraping is thus an art which is use to make data gathering automated and fast.

Source:https://www.datascraping.co/doc/articles/86/businesses-use-of-web-scraping

What is Web Scraping Services ?

What is Web Scraping Services ?

Web scraping is essentially a service where an algorithm driven process fetches relevant data from the depths of the internet and stores it on a centralized location (think excel sheets) which can be analyzed to draw meaningful and strategic insight.

To put things into perspective, imagine the internet as a large tank cluttered with trillions of tons of data. Now, imagine instructing something as small as a spider to go and fetch all data relevant to your business. The spider works in accordance with the instructions and starts digging deep into the tank, fetching data with an objective orientation, requesting for data wherever it is protected by a keeper and being a small spider, it fetches data even from the most granular nook and corner of the tank. Now, this spider has a briefcase where it stores all collected data in a systematic manner and returns to you after its exploration into the deep internet tank. What you have now is perfectly the data you need in a perfectly understandable format. This is exactly what a web scraping service entails except the fact that it also promises working on those briefcase data and cleaning it up for redundancies and errors and presents it to you in the form of a well consumption-ready information format and not raw unprocessed data.

Now, there is a high possibility that you may be wondering how else can you utilize this data to extract the best RoI- Return on Investment.

Here's just a handful of the most popular beneficial uses of web scraping services-

Competition Analysis

The best part about having aggressive competitors is that you just by alert monitoring of their activities, you can outpace them by enhancing off of their big move. The industries are growing rapidly, only the informed are ahead of the race.

Data Cumulation

Web scraping ensures aggregating of all data in a centralized location. Say goodbye to the cumbersome process of collecting bits and pieces of raw data and spending the night trying to make sense out of it.

Supply-chain Monitoring

While decentralization is good, the boss needs to do what a boss does- hold the reins. Track your distributors who blatantly ignore your list prices and web miscreants who are out with a mission to destroy your brand. It’s time to take charge.

Pricing Strategy

Pricing is of the most crucial aspect in the product mix and your business model- you get only one chance to make it or break it. Stay ahead of the incumbents by monitoring their pricing strategy and make the final cut to stay ahead of time.

Delta Analytics

The top tip to stay ahead in the game is to keep all your senses open to receive any change. Stay updated about everything happening around your sphere of interest and stay ahead by planning and responding to prospective changes.

Market Understanding

Understand your market well. Web scraping as a service offers you the information you need to be abreast of the continuous evolution of your market, your competitors’ responses and the dynamic preferences of your customer.

Lead Generation

We all know that a customer is the sole reason for the existence of a product or business. Lead generation is the first step to acquiring a customer. The simple equation is that more the number of leads, higher is the aggregate conversion of customers. Web scraping as a service entails receiving and creating a relevant – relevant is the key word – relevant lead generation. It is always better to target someone who is interested or needs to avail the services or product you offer.

Data Enhancement

With web extraction services, you can extract more juice out of the data you have. The ready to consume format of information that web scraping services offer allows you to match it with other relevant data points to connect the dots and draw insights for the bigger picture.

Review Analysis

Continuous improvement is the key to building a successful brand and consumer feedback is of the prime sources that will let you know where you stand in terms of the goal – customer satisfaction. Web scraping services offer a segue to understanding your customers’ review and help you stay ahead of the game by improvising.

Financial Intelligence

In the dynamic industry of finance and ever-volatile investment industry, know what’s the best use of your money. After all, the whole drama is for the money. Web scraping services offer you the benefit of using alternative data to plan your finances much more efficiently.

Research Process

The information derived from a web scraping process is almost ready to be run through for a research and analysis function. Focus on the research instead of data collection and management.

Risk & Regulations Compliance

Understanding risk and evolving regulations is important to avoid any market or legal trap. Stay updated with the evolving dynamics of the regulatory framework and the possible risks that mean significantly for your business.

Botscraper ensures that all your web scraping process is done with utmost diligence and efficiency. We at Botscraper have a single aim -  your success and we know exactly what to deliver to ensure that.

Source:http://www.botscraper.com/blog/What-is-web-scraping-service-

Why Businesses Need Data Scraping Service?

With the ever-increasing popularity of internet technology there is an abundance of knowledge processing information that can be used as gold if used in a structured format. We all know the importance of information. It has indeed become a valuable commodity and most sought after product for businesses. With widespread competition in businesses there is always a need to strive for better performances.

Taking this into consideration web data scraping service has become an inevitable component of businesses as it is highly useful in getting relevant information which is accurate. In the initial periods data scraping process included copying and pasting data information which was not relevant because it required intensive labor and was very costly. But now with the help of new data scraping tools like Mozenda, it is possible to extract data from websites easily. You can also take the help of data scrapers and data mining experts that scrape the data and automatically keep record of it.

How Professional Data Scraping Companies and Data Mining Experts Device a Solution?

Data Scraping Plan and Solutions

Why Data Scraping is Highly Essential for Businesses?

Data scraping is highly essential for every industry especially Hospitality, eCommerce, Research and Development, Healthcare, Financial and data scraping can be useful in marketing industry, real estate industry by scraping properties, agents, sites etc., travel and tourism industry etc. The reason for that is it is one of those industries where there is cut-throat competition and with the help of data scraping tools it is possible to extract useful information pertaining to preferences of customers, their preferred location, strategies of your competitors etc.

It is very important in today’s dynamic business world to understand the requirements of your customers and their preferences. This is because customers are the king of the market they determine the demand. Web data scraping process will help you in getting this vital information. It will help you in making crucial decisions which are highly critical for the success of business. With the help of data scraping tools you can automate the data scraping process which can result in increased productivity and accuracy.

Reasons Why Businesses Opt. For Website Data Scraping Solutions:

Website Scraping

Demand For New Data:

There is an overflowing demand for new data for businesses across the globe. This is due to increase in competition. The more information you have about your products, competitors, market etc. the better are your chances of expanding and persisting in competitive business environment. The manner in which data extraction process is followed is also very important; as mere data collection is useless. Today there is a need for a process through which you can utilize the information for the betterment of the business. This is where data scraping process and data scraping tools come into picture.

Today simple data collection is not enough to sustain in the business world. There is a need for getting up to date information. There are times when you will have the information pertaining to the trends in the market for your business but they would not be updated. During such times you will lose out on critical information. Hence; today in businesses it is a must to have recent information at your disposal.

The more recent update you have pertaining to the services of your business the better it is for your growth and sustenance. We are already seeing lot of innovation happening in the field of businesses hence; it is very important to be on your toes and collect relevant information with the help of data scrapers. With the help of data scrapping tools you can stay abreast with the latest developments in your business albeit; by spending extra money but it is necessary tradeoff in order to grow in your business or be left behind like a laggard.

Analyzing Future Demands:

Foreknowledge about the various major and minor issues of your industry will help you in assessing the future demand of your product / service. With the help of data scraping process; data scrapers can gather information pertaining to possibilities in business or venture you are involved in. You can also remain alert for changes, adjustments, and analysis of all aspects of your products and services.

Appraising Business:

It is very important to regularly analyze and evaluate your businesses. For that you need to evaluate whether the business goals have been met or not. It is important for businesses to know about your own performance. For example; for your businesses if the world market decides to lower the prices in order to grow their customer base you need to be prepared whether you can remain in the industry despite lowering the price. This can be done only with the help of data scraping process and data scraping tools.
Article Source :-http://www.habiledata.com/blog/why-businesses-need-data-scraping-service

WEB SCRAPING SERVICES-IMPORTANCE OF SCRAPED DATA

Web scraping services are provided by computer software which extracts the required facts from the website. Web scraping services mainly aims at converting unstructured data collected from the websites into structured data which can be stockpiled and scrutinized in a centralized databank. Therefore, web scraping services have a direct influence on the outcome of the reason as to why the data collected in necessary.

It is not very easy to scrap data from different websites due to the terms of service in place. So, the there are some legalities that have been improvised to protect altering the personal information on different websites. These ‘rules’ must be followed to the letter and to some extent have limited web scraping services.

Owing to the high demand for web scraping, various firms have been set up to provide the efficient and reliable guidelines on web scraping services so that the information acquired is correct and conforms to the security requirements. The firms have also improvised different software that makes web scraping services much easier.
Importance of web scraping services

Definitely, web scraping services have gone a long way in provision of very useful information to various organizations. But business companies are the ones that benefit more from web scraping services. Some of the benefits associated with web scraping services are:
Helps the firms to easily send notifications to their customers including price changes, promotions, introduction of a new product into the market. Etc.
It enables firms to compare their product prices with those of their competitors
It helps the meteorologists to monitor weather changes thus being able to focus weather conditions more efficiently

It also assists researchers with extensive information about peoples’ habits among many others.
It has also promoted e-commerce and e-banking services where the rates of stock exchange, banks’ interest rates, etc. are updated automatically on the customer’s catalog.
Advantages of web scraping services

The following are some of the advantages of using web scraping services
Automation of the data
Web scraping can retrieve both static and dynamic web pages
Page contents of various websites can be transformed
It allows formulation of vertical aggregation platforms thus even complicated data can still be extracted from different websites.
Web scraping programs recognize semantic annotation
All the required data can be retrieved from their websites
The data collected is accurate and reliable
Web scraping services mainly aims at collecting, storing and analyzing data. The data analysis is facilitated by various web scrapers that can extract any information and transform it into useful and easy forms to interpret.
Challenges facing web scraping

High volume of web scraping can cause regulatory damage to the pages
Scale of measure; the scales of the web scraper can differ with the units of measure of the source file thus making it somewhat hard for the interpretation of the data
Level of source complexity; if the information being extracted is very complicated, web scraping will also be paralyzed.
It is clear that besides web scraping providing useful data and information, it experiences a number of challenges. The good thing is that the web scraping services providers are always improvising techniques to ensure that the information gathered is accurate, timely, reliable and treated with the highest levels of confidentiality.


Article Source:-http://www.loginworks.com/blogs/web-scraping-blogs/191-web-scraping-services-importance-of-scraped-data/

Data Extraction Product vs Web Scraping Service which is best?

Product v/s Service: Which one is the real deal?

With analytics and especially market analytics gaining importance through the years, premier institutions in India have started offering market analytics as a certified course. Quite obviously, the global business market has a huge appetite for information analytics and big data.

While there may be a plethora of agents offering data extraction and management services, the industry is struggling to go beyond superficial and generic data-dump creation services. Enterprises today need more intelligent and insightful information.

The main concern with product-based models would be their incapability to extract and generate flexible and customizable data in terms of format. This shortcoming can be majorly attributed to the almost-mechanical process of the product- it works only within the limits and scope of the algorithm.

To place things into perspective, imagine you run an apparel enterprise. You receive two kinds of data files. One contains data about everything related to fashion- fashion magazines, famous fashion models, make-up brand searches, apparel brands trending and so on. On the other hand, the data is well segregated into trending apparel searches, apparel competitor strategies, fashion statements and so on. Which one would you prefer? Obviously, the second one- this is more relevant to you and will actually make life easier while drawing insights and taking strategic calls.


In the scenario where an enterprise wishes to cut down on overhead expenses and resources to clean the data and process it into meaningful information, that’s when the heads turn towards service-based web extraction. The service-based model of web extraction has customization and ready-to-consume data as its key distinction feature.

Web extraction, in process parlance is a service that dives deep into the world of internet and fishes out the most relevant data and activities. Imagine a junkyard being thoroughly excavated and carefully scraped to find you the exact nuts, bolts and spares you need to build the best mechanical project. This is metaphorically what web extraction offers as a service.

The entire excavation process is objective and algorithmically driven. The process is carried out with a final motive of extracting meaningful data and processing it into insightful information. Though the algorithmic process leads to a major drawback of duplication, unlike a web extractor (product), wweb extraction as a service entails a de-duplication process to ensure that you are not loaded with redundant and junk data.

Of the most crucial factors, successive crawling is often ignored. Successive crawling refers to crawling certain web pages repetitively to fetch data. What makes this such a big deal? Unwelcomed successive crawling can lead to attracting the wrath of the site owners and the high probability of being sued for a class action suit.

While this is a very crucial concern with web scraping products , web extraction as a service takes care of all the internet ethics and code of conduct while respecting the politeness policies of web pages and permissible penetration depth limits.

Botscraper ensures that if a process is to be done, it might as well be done in a very legal and ethical manner. Botscraper uses world class technology to ensure that all web extraction processes are conducted with maximum efficacy while playing by the rules.

An important feature of the service model of web extraction is its capability to deal with complex site structures and focused extraction from multiple platforms. Web scraping as a service requires adhering to various fine-tuning processes. This is exactly what botscraper offers along with a highly competitive price structure and a high class of data quality.

While many product-based models tend to overlook the legal aspects of web extraction, data extraction from the web as a service covers it much more ingeniously. While associating with botscraper as web scraping service provider, legal problems should be the least of your worries.

Botscraper as a company and technology ensures that all politeness protocol, penetration limits, robots.txt and even the informal code of ethics is considered while extracting the most relevant data with high efficiency.  Plagiarism and copyright concerns are dealt with utmost care and diligence at Botscraper.

The key takeaway would be that, product-based web extraction models may look appealing from a cost perspective- that too only at the face of it, but web extraction as a service is what will fetch maximum value to your analytical needs. Ranging right from flexibility, customization to legal coverage, web extraction services score above web extraction product and among the web extraction service provider fraternity, botscraper is definitely the preferred choice.


Source: http://www.botscraper.com/blog/Data-Extraction-Product-vs-Web-Scraping-Service-which-is-best-

Some Of The Most Reason Product Data scraping Services

Some Of The Most Reason Product Data scraping Services

There are literally around the world that is relatively easy to use thousands of free proxy servers. But the trick is finding them. There are hundreds of servers in multiple sites, but to find, and is compatible with a variety of protocols, persistence, testing, trial and error is a lesson that can be. But if you work behind the scenes of the audience will find a pool, there are risks involved in its use.

First, you do not know what activities are going on the server or elsewhere on the server. Sensitive data sent through a public proxy or the request is a bad idea. After performing a simple search on Google, the scraping of the anonymous proxy server provides enterprises gegevens.kon quickly found. Some are beginning to extract information from PDF. It is often called PDF scraping, scraping as the process has just obtained the information contained in PDF files.

It has never been done? The business and use the patented scraping a patent search. Select the U.S. Patent Office was opened an inventor in the United States is the best product on the database and displays all media in their mouths. The question is: Can I do a patent search to see if my invention ahead of time and money to promote their intellectual property?

When viewed in a Web patents may apply to be a very difficult process. For example, "dog" and "food" the study database after the 5745 patents in the study. Cookies and may take some time! Patents, more than the number of results from the database search results. Enter the picture. Download and see pictures from the Internet while on the Internet, and can be used as the database server as well as their own research.

A patent application takes a long time, many companies and organizations looking for ways to improve the process. A number of organizations and companies, whose sole purpose is for them to do a patent search to recruit workers. Burdens on small companies specializing in contract research and other patents. of modern technology to conduct research in a patent called the pod.

Since the script will automatically look for patents held, and accurate information to employees, can play an important role in the scrape of the patent! Give beer techniques can remove the picture from the message.

Put a face in the real world; let's look at the pharmaceutical industry. Enter the number of the next big drug companies. The Met will use this information, or the company can be in front, heavy, or rotate in the opposite direction. It would be too expensive for one day to do a patent search for a team of researchers is dedicated to maintaining. Patent technology to meet the ideas and techniques that came before the media.

Qualified Contract: Nowadays, the internet niche online is one of the best friends a successful and profitable niche.

The opinion written by using the products or services and promote the best way to build. See some of the requirements in their own field of experience and knowledge. the scribe's own products or product lines from another company may have. The author always writes an honest assessment if necessary. a lucrative fashion programs through Google effectively.

Source:http://www.sooperarticles.com/business-articles/some-most-reason-product-data-scraping-services-972602.html

By Data Scraping Services Are Important Tools Of Business

By Data Scraping Services Are Important Tools Of Business

Studies and market research on any company or organization plays an important role in strategic decision-making process. Data mining and web scraping techniques are important tools that the relevant information and to find information about your personal or business use. Many companies, self-employed, copy and paste the information into the website. This process is very reliable, but very expensive as it is a waste of time and effort to get results. This is due to the fact that information is collected and used less resources and time to collect these data will be compared.

Nowadays many data mining companies and their websites effective web scraping technique that precisely thousands of pages of information about the development of the crop can crawl. Criminal records CSV, database, XML file, or other source with a form. correlations and patterns in data, so that policies can be designed to help decision-making. Data can also be stored for later use.

The following are some common example of data extraction:

In order to scrap the government through the portal, citizens who are reliable given the study name to remove. Competitive pricing and product attribute data scraping websites You can open a web site or a web design office image upload videos and photos of scrapingAutomatic data collection Regularly collects information. market it is possible to understand the customer's behavior and predict the likelihood of content changes.

The following are examples of automatic data collection:

Hourly monitoring of special shares collects mortgage rates on a daily basis by various financial institutionsregularly need to check the weather report
By using web scraping services, it is possible to extract information related to your business. Since then analyzed the data to a spreadsheet or database can be downloaded and compared. Information storage database, or in the required format and interpretation of the correlations to understand and easier to identify hidden patterns.Data mining services, it is possible pricing, shipping, database, your profile information and competitors' access to information.
Some of the challenges would be:

Web masters must change their website to be more user-friendly and better looking, in turn, violates the delicate scraper data extraction logic.Block IP addresses: If you constantly keep your office scraping the site, IP "guard" From day one has been blocked.Ellet not an expert in programming, you cannot receive data.society abundant resources, the users of the service, which continues to operate them fresh data is transferred.

Source:http://www.selfgrowth.com/articles/by-data-scraping-services-are-important-tools-of-business

Web Data Extraction

Web Data Extraction

The Internet as we know today is a repository of information that can be accessed across geographical societies. In just over two decades, the Web has moved from a university curiosity to a fundamental research, marketing and communications vehicle that impinges upon the everyday life of most people in all over the world. It is accessed by over 16% of the population of the world spanning over 233 countries.

As the amount of information on the Web grows, that information becomes ever harder to keep track of and use. Compounding the matter is this information is spread over billions of Web pages, each with its own independent structure and format. So how do you find the information you're looking for in a useful format - and do it quickly and easily without breaking the bank?

Search Isn't Enough

Search engines are a big help, but they can do only part of the work, and they are hard-pressed to keep up with daily changes. For all the power of Google and its kin, all that search engines can do is locate information and point to it. They go only two or three levels deep into a Web site to find information and then return URLs. Search Engines cannot retrieve information from deep-web, information that is available only after filling in some sort of registration form and logging, and store it in a desirable format. In order to save the information in a desirable format or a particular application, after using the search engine to locate data, you still have to do the following tasks to capture the information you need:

· Scan the content until you find the information.

· Mark the information (usually by highlighting with a mouse).

· Switch to another application (such as a spreadsheet, database or word processor).

· Paste the information into that application.

Its not all copy and paste

Consider the scenario of a company is looking to build up an email marketing list of over 100,000 thousand names and email addresses from a public group. It will take up over 28 man-hours if the person manages to copy and paste the Name and Email in 1 second, translating to over $500 in wages only, not to mention the other costs associated with it. Time involved in copying a record is directly proportion to the number of fields of data that has to copy/pasted.

Is there any Alternative to copy-paste?

A better solution, especially for companies that are aiming to exploit a broad swath of data about markets or competitors available on the Internet, lies with usage of custom Web harvesting software and tools.

Web harvesting software automatically extracts information from the Web and picks up where search engines leave off, doing the work the search engine can't. Extraction tools automate the reading, the copying and pasting necessary to collect information for further use. The software mimics the human interaction with the website and gathers data in a manner as if the website is being browsed. Web Harvesting software only navigate the website to locate, filter and copy the required data at much higher speeds that is humanly possible. Advanced software even able to browse the website and gather data silently without leaving the footprints of access.

Source : http://ezinearticles.com/?Web-Data-Extraction&id=575212

What is Data Mining? Why Data Mining is Important?

What is Data Mining? Why Data Mining is Important?

Searching, Collecting, Filtering and Analyzing of data define as data mining. The large amount of information can be retrieved from wide range of form such as different data relationships, patterns or any significant statistical co-relations. Today the advent of computers, large databases and the internet is make easier way to collect millions, billions and even trillions of pieces of data that can be systematically analyzed to help look for relationships and to seek solutions to difficult problems.

The government, private company, large organization and all businesses are looking for large volume of information collection for research and business development. These all collected data can be stored by them to future use. Such kind of information is most important whenever it is require. It will take very much time for searching and find require information from the internet or any other resources.

Here is an overview of data mining services inclusion:

* Market research, product research, survey and analysis
* Collection information about investors, funds and investments
* Forums, blogs and other resources for customer views/opinions
* Scanning large volumes of data
* Information extraction
* Pre-processing of data from the data warehouse
* Meta data extraction
* Web data online mining services
* data online mining research
* Online newspaper and news sources information research
* Excel sheet presentation of data collected from online sources
* Competitor analysis
* data mining books
* Information interpretation
* Updating collected data

After applying the process of data mining, you can easily information extract from filtered information and processing the refining the information. This data process is mainly divided into 3 sections; pre-processing, mining and validation. In short, data online mining is a process of converting data into authentic information.

The most important is that it takes much time to find important information from the data. If you want to grow your business rapidly, you must take quick and accurate decisions to grab timely available opportunities.

Source: http://ezinearticles.com/?What-is-Data-Mining?-Why-Data-Mining-is-Important?&id=3613677

Why is web scraping worldwide used

Why is web scraping worldwide used

Nowadays a huge amount of information is placed online, and alongside with it, appeared new techniques and software that analyse and extract it. Such a software technique is web scraping, which simulates human exploration of the World Wide Web. The software that does this either implements the low-level Hypertext Transfer Protocol or embeds a web browser. Its main goal is to automatically collect information from the World Wide Web. This process requires semantic understanding, text processing, artificial intelligence and a close interaction between human and computer. This technique is widely used by business owners that want to find new ways of increasing their profit and using the relevant marketing strategies.

Web scraping is important for successful businesses because it provides three categories of information: web content, web usage and web structure. This means that it extracts information from web pages, server logs, links between pages and people, and browser activity data. This helps companies having access to the needed data, because web scrapping services transform unstructured data into structured data. The direct result of this process is seen on the outcome of the businesses. Companies set up easy web scraping programs that have the purpose to provide reliable and efficient information for its users. These services make this process much easier. Because companies are the ones that focused their energy to implement such a program, they benefit from multiple advantages. The companies that want to have a close relation with their clients, have the opportunity to send notifications to their customers that include promotions, price changes, or the launching of a new product. When using web scraping, companies have the opportunity of comparing their product prices with the ones of the similar ones.

Web data extraction proves to be very useful when meteorologists want to monitor weather changes. The companies that use this type of information extraction have also other advantages alongside with the ones listed above. This process allows them to transform page contents according to their needs, and they can be sure that the data collected is reliable and accurate. They can retrieve the data from their websites, because this process can be used with both dynamic and static pages. Web data extraction is very valuable because it is able to recognize semantic annotation. The companies that need complicated data can get it by using web scraping, and this leads to minimizing costs and more sales. Companies choose to use marketing intelligence because it helps them increase their profit through good business practices. The companies that use these services are the ones that practice online shipping, because they want to provide their clients information about services, terms of services and products. Other type of businesses that uses this service are stores, which supply their products online. This service helps them provide information about their services and products, but if it is a more complex store, then it helps them offer their clients details about their procedures and head offices. Web scraping proves to be a successful way of achieving success in many domains.

Source: http://www.amazines.com/article_detail.cfm/6193234?articleid=6193234

Data Mining Basics

Data Mining Basics

Definition and Purpose of Data Mining:

Data mining is a relatively new term that refers to the process by which predictive patterns are extracted from information.

Data is often stored in large, relational databases and the amount of information stored can be substantial. But what does this data mean? How can a company or organization figure out patterns that are critical to its performance and then take action based on these patterns? To manually wade through the information stored in a large database and then figure out what is important to your organization can be next to impossible.

This is where data mining techniques come to the rescue! Data mining software analyzes huge quantities of data and then determines predictive patterns by examining relationships.

Data Mining Techniques:

There are numerous data mining (DM) techniques and the type of data being examined strongly influences the type of data mining technique used.

Note that the nature of data mining is constantly evolving and new DM techniques are being implemented all the time.

Generally speaking, there are several main techniques used by data mining software: clustering, classification, regression and association methods.

Clustering:

Clustering refers to the formation of data clusters that are grouped together by some sort of relationship that identifies that data as being similar. An example of this would be sales data that is clustered into specific markets.

Classification:

Data is grouped together by applying known structure to the data warehouse being examined. This method is great for categorical information and uses one or more algorithms such as decision tree learning, neural networks and "nearest neighbor" methods.

Regression:

Regression utilizes mathematical formulas and is superb for numerical information. It basically looks at the numerical data and then attempts to apply a formula that fits that data.

New data can then be plugged into the formula, which results in predictive analysis.

Association:

Often referred to as "association rule learning," this method is popular and entails the discovery of interesting relationships between variables in the data warehouse (where the data is stored for analysis). Once an association "rule" has been established, predictions can then be made and acted upon. An example of this is shopping: if people buy a particular item then there may be a high chance that they also buy another specific item (the store manager could then make sure these items are located near each other).

Data Mining and the Business Intelligence Stack:

Business intelligence refers to the gathering, storing and analyzing of data for the purpose of making intelligent business decisions. Business intelligence is commonly divided into several layers, all of which constitute the business intelligence "stack."

The BI (business intelligence) stack consists of: a data layer, analytics layer and presentation layer.

The analytics layer is responsible for data analysis and it is this layer where data mining occurs within the stack. Other elements that are part of the analytics layer are predictive analysis and KPI (key performance indicator) formation.

Data mining is a critical part of business intelligence, providing key relationships between groups of data that is then displayed to end users via data visualization (part of the BI stack's presentation layer). Individuals can then quickly view these relationships in a graphical manner and take some sort of action based on the data being displayed.

Source:http://ezinearticles.com/?Data-Mining-Basics&id=5120773

Facts on Data Mining

Facts on Data Mining

Data mining is the process of examining a data set to extract certain patterns. Companies use this process to determine the outcome of their existing goals. They summarize this information into useful methods to create revenue and/or cut costs. When search engines are accessed, they begin to build lists of links from the first page it accesses. It continues this process throughout the site until it reaches the root page. This data not only includes text, but also numbers and facts.

Data mining focuses on consumers in relation to both "internal" (price, product positioning), and "external" (competition, demographics) factors which help determine consumer price, customer satisfaction, and corporate profits. It also provides a link between separate transactions and analytical systems. Four types of relationships are sought with data mining:

o Classes - information used to increase traffic
o Clusters - grouped to determine consumer preferences or logical relationships
o Associations - used to group products normally bought together (i.e., bacon, eggs; milk, bread)
o Patterns - used to anticipate behavior trends

This process provides numerous benefits to businesses, governments, society, and especially individuals as a whole. It starts with a cleaning process which removes errors and ensures consistency. Algorithms are then used to "mine" the data to establish patterns.

 Source: http://ezinearticles.com/?Facts-on-Data-Mining&id=3640795

Resume Extraction: To Grab Best Candidate

Resume Extraction: To Grab Best Candidate

Selecting the eligible and potential employee for the organization is the most significant task of any company. Success rate of any company totally depends on the assortment of talented and experienced candidates. Quality is of prime significance than quantity and for this, having the best resume analyzer is a good idea. The tasks related to recruitment should be performed well by the HR department.

Examination of a perfectly apt candidate is the main concern of the qualitative resume software. A number of myriad aspects are considered for the resume assessment. There posses a competition of various talents that candidate possesses. Before recruitment of any applicant, his job analysis is performed by the HR department. For this purpose performing resume extraction becomes essential and resume analyzer is the medium to do so.

Proficient software performs a helpful task at job portals. The resume analyzer parses all the resumes and filters them on the basis of presence of keyword. It facilitates to match the particular keyword with every available resume. Presence of keywords indicates that the candidate is short listed while absence refers rejection. As these days everyone needs fast results performing resume extraction becomes essential to save time and money.

Resume analyzer helps in accepting and rejecting the resume of the candidates. It position or rank the candidates in to a list, this criteria is based on the presence of the keywords and the required apt information about the candidate. Resume software implements the standard policies for formatting the process of resume extraction and uploads this important data into your available database. This data is available in the text format. Essential information like name, qualifications, contact details, certifications, last work experience etc present in resume is uploaded into the database.

This information is used to match the criteria of the required job post. Ranking of the candidates helps to opt for the most suitable and skilled candidate among the list of thousands.

Resume extraction is one of the essential aspects to sort out the potential candidate.

Source : http://ezinearticles.com/?Resume-Extraction:-To-Grab-Best-Candidate&id=5894132