details in each individual program will differ, but otherwise parsing follows the same scenario:
the robot searches for data that matches the specified criteria on selected web resources or throughout the Internet;
then it collects all the information found and carries out an initial systematization, the depth of which can also be determined during setup;
The last step is to generate a report in a format convenient for you (Excel table, TXT or PDF files, RAR archives, etc.).
The parser can work around the clock, and you can set as many parameters as you need: unlike a person, it will not make a mistake and will not miss anything. In addition, such an algorithm can correctly distribute the load on the site from which it parses information, thanks to which it continues to work stably and does not "fall", as in DDoS attacks.
What data can be parsed?
Everything that is presented on a web resource in the public domain can be parsed. If you can copy something manually, then a parser can handle it. For example, prices, descriptions, names, categories, product characteristics, reviews, personal information, keywords are parsed. As we have already said, even images can technically be parsed - the main thing is that they are not copyrighted, otherwise it will be a violation of someone else's rights.
Below we will look at some of the types of data that are collected more frequently than azerbaijan whatsapp number database others.
Sites are parsed in two cases: for business development or for improving search engine promotion. In a sense, the second is a subparagraph of the first, but since not all web resources are commercial in nature, we will separate these situations
Everything that concerns parsing online stores - prices, positions, balances, sales, descriptions - refers to the first case. This also includes analysis of the structure of competitors' sites.
SEOs usually resort to the second, technical type. They sort of take metrics from their resources: look for broken links, evaluate the correctness of robots.txt, check micro-markups, etc.
Website parsing.
Social media
This is also called audience parsing. Social networks are a treasure trove of personal data that people post for everyone to see. Companies take advantage of this and parse information about users, uploading it directly to the advertising account. In this case, the parameters for parsing can be gender, age, geographic location, subscriptions to certain publics. Most often, the audience of a group is parsed by its active participants - editors, administrators, commentators.
Contacts
Phone numbers, email addresses, names and surnames, social media pages — all of this is actively parsed mainly for the purpose of sending spam and advertising offers, as well as setting up targeted advertising. Contacts can be parsed not only from personal accounts, but also from ad placement sites (Avito, Yula), job search sites (HH.ru), card catalogs and reference sites.
Conclusion
Almost all companies, both large and small, do parsing. It is a convenient means of reducing the time spent on collecting information. However, how the obtained data is used in the future is a matter of ethics for ea