Published on: 2024-12-19 22:21:33
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Automate Web Scraping Using Python Scripts and Spidersو Web scraping is the process of automatically downloading a web page’s data and extracting specific information from it. The extracted information can be stored in a database or as various file types. Popular web scraping tools include BeautifulSoup and Scrapy. BeautifulSoup is a python library for pulling data (parsing) out of HTML and XML files. Scrapy is a free open source application framework used for crawling web sites and extracting structured data. which can be used for a variety of things like data mining,research ,information process or historical archival. Web scraping software tools may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler.
It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis. Scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page (which a browser does when you view the page). to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).
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