The technology of obtaining web data by extracting it from the pages of web resources is called scraping. Web scraping can be done manually by a computer user, however, the term usually refers to automated processes implemented using code that executes GET requests to the target site.

Scraping is used to syntactically transform web pages into more user-friendly forms. Web pages are created using text markup languages (HTML and XHTML) and contain a lot of useful data in the code. However, most web resources are intended for end-users, not for the convenience of automatic use, so technology has been developed that “cleans” web content.

Loading and viewing a page are the most important components of the technology, they are an integral part of the data sampling.

Platforms that can make scraping easier for you.

Many platforms allow you to extract static and dynamic data from sites and add it to your databases for later use.

This data collection process is called scraping, parsing, or crawling. This data can be found on the pages of websites, as well as using search engines. With first-class capabilities combined with the first-class infrastructure, they can clean and structure data more efficiently than a human would do manually.

How do Web Scraping Robots work?

Data cleanup is the collection and organization of information from the Internet. This can be done manually, but automation is the right way to go and these robots have indeed advanced search capabilities. With an automated process, you can combine large amounts of information from the Internet and organize it in a way that is useful for your business.

The difference between parsing and scraping.

Many people wonder what is the difference between these words, and very often confuse their meanings. Parsing is syntax analysis, analyzing text into a syntax tree according to formal grammar. For example, for the BNF. Parsing is a common standard operation at the beginning of compilation. The word “parsing” is also applied to simpler purely syntactic operations, such as pulling a number from its string representation.

But loading a web page and trying to extract information from it, usually from a form that is not intended for this purpose, and bypassing the API and restrictions, and often the rules of use of the site, is web scraping. The parser is a more general term than scraping.

If we talk in the context of analyzing the content of the site and pumping out the necessary information from it, then there is an operation of crawling and pumping out the site and there is an operation of analyzing the received pages and extracting useful information. Initially, the application performing both operations was called a parser.

Then they came up with the term crawler and divided the process into two separate operations. The crawler scans the site, and the parser analyzes the content. Sometimes, the term crawler was used to refer to both operations as the term parser previously.

Later, the term scraping was coined. Scraping combines the functions of a crawler and a parser.

Initially scraping and parsing was the same thing. Now parsing is one of the functions of scraping.

Possible applications of web scraping:

• Tracking the prices of goods in online stores.
• Extract product and service descriptions, get the number of products and images in the listing.
• Extract contact information (email addresses, phone numbers, etc.).
• Collect data for market research (likes, shares, ratings).
• Extraction of specific data from the code of HTML pages (search for analytics systems, check for micro-markup).
• Ad monitoring.

Usually, parsing is used to solve problems that are difficult to handle manually. This can be web scraping of product descriptions when creating a new online store, scraping in market research to monitor prices, or monitoring ads (for example, for the sale of apartments). For SEO optimization tasks, narrowly specialized tools are usually used, which already have parsers built-in with all the necessary settings for extracting the main SEO parameters.

Blocking methods:

• Prohibit access to the site from a specific IP address (for example, when the bot has completed more than 100 pages per session);
• Prohibit the user ID, which, from the point of view of the site administrator, is an attacker who enters the site by authentication

To bypass the blocking, web scraping programs must perform actions on the site as close as possible to the behavior of users. Therefore, you should periodically rotate IP addresses to bypass the blocking, web scraping programs should perform actions on the site as close as possible to the behavior of users.

Conclusion: 

To make more informed decisions for your business and growth, it is better to use specialized bots that will save you time and give you a quality guarantee.

If you want to collect data and create analytics for your organization, Web scraping robots look like a viable solution at no additional cost and no risk. You start scraping to help you verify the economic rationale for using the tool before making any financial commitment to the technology.

Of course, you don’t want to get involved in legal issues or offend other people. Be sure to apply the most ethical standards in your scraping practice. Also, if you decide to do data scraping, remember that there are many systems with the struggle of web scraping. In response, there are web scraping systems that rely on the use of DOM analysis, computer vision, and natural language processing techniques to simulate human browsing to enable the collection of web page content for offline analysis.