Web Scraping

Web scraping is the automated process of extracting data from websites using software tools or scripts. It involves fetching web pages, parsing their HTML or XML structure, and collecting specific information like text, images, or links. This technique is widely used for data collection, market research, and content aggregation.

Also known as: Web harvesting, Web data extraction, Screen scraping, Web crawling, Data scraping

Why learn Web Scraping?

Developers should learn web scraping when they need to gather data from websites that lack APIs or for tasks like price monitoring, sentiment analysis, or building datasets for machine learning. It's essential for automating repetitive data extraction, enabling businesses to make data-driven decisions without manual effort.

Learning Resources

• docs: Beautiful Soup Documentation
• tutorial: Scrapy Tutorial
• course: Web Scraping with Python Course on Coursera
• book: Automate the Boring Stuff with Python - Chapter 12
• tutorial: Web Scraping Tutorial by freeCodeCamp