Udemy – Web Scraping for Beginners: Python | Unmatched

Web scraping is the process of automatically downloading the data of a web page and extracting specific information from it. The extracted information can be stored in a database or as various types of files. Basic rules of scraping:

• Always check the terms and conditions of a website before scraping it to avoid legal trouble.
• Do not aggressively request data from a website (spam) with your application as this may cause the website to crash.
• The layout of a website may change from time to time, so make sure your code is compatible with it.

Popular web scraping tools include BeautifulSoup and Scrapy.

BeautifulSoup is a Python library for data extraction (parsing) from HTML and XML files.

Scrapy is a free open source application framework used to crawl websites and extract structured data that can be used for various purposes such as data mining, research, information processing or historical archiving. Web scraping software tools can access the World Wide Web using the Hypertext Transfer Protocol or directly through a web browser. While web scraping can be done manually by a software user, the term usually refers to automated processes performed using robots or web crawlers. It is a type of copying where some data is collected from the web and copied usually to a central local database or spreadsheet for later retrieval or analysis. Scraping a web page involves fetching and extracting it. Fetching is loading a page (what a browser does when viewing a page). To fetch the page for further processing. After fetching, extraction can then be performed. The content of a page can be parsed, searched, reformatted, its data copied to a spreadsheet, etc. Web scrapers usually extract something from a page and reuse it elsewhere. An example would be finding and copying names and phone numbers or companies and their URLs into a list (contact scraping). Web scraping is used for contact scraping, and as part of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to see competition), aggregated real estate listings, weather data monitoring, website change detection, research, online presence and reputation tracking, web fusion, and web data integration. Web pages are built using text-based markup languages ​​(HTML and XHTML) and often contain lots of useful data in text format. A web scraper is an application programming interface (API) for extracting data from a website. Companies like Amazon AWS and Google provide public tools, services, and data for free to end users.

installation Guide

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