Giveaway [Udemy] Automate Web Scraping Using Python Scripts and Spiders

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Automate Web Scraping Using Python Scripts and Spiders | Udemy

Description
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.
  Basic Scraping Rules:
    Always check a website's Terms and Conditions before you scrape it to avoid legal issues.
    Do not request data from a website too aggressively (spamming) with your program as this may break the website.
    The layout of a website may change from time to time ,so make sure your code adapts to it when it does.
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.

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