Download Udemy – Web Scraping for Beginners with : Python | Scrappy BS4 2023-7

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 different types of files. Basic rules of scratching:

• Always check a website’s terms and conditions before scraping it to avoid legal trouble.
• Do not aggressively request data from a website (spam) with your application as it may crash the website.
• The layout of a website can 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 a variety of purposes such as data mining, research, information processing or historical archiving. Web scraping software tools may access the World Wide Web directly using Hypertext Transfer Protocol or through a web browser. While web scraping can be done manually by a software user, the term usually refers to automated processes executed using a robot or web crawler. This is a type of copy where certain data from the web is collected 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 the browser does when viewing the page). To fetch pages for further processing. After fetching, then extraction can be done. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, etc. Web scrapers usually scrape something off a page to repurpose 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 watch the competition), aggregate 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 a lot 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 to end users for free.

Installation guide

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