Python Web Scraping for Data Collection: Collect and Analyze Web Data Easily Using Python

By Rafael Sanders

Unlock the power of web scraping with Python to easily collect and analyze data from websites for personal or business use. Whether you're a beginner or an experienced programmer, this step-by-step guide will show you how to extract valuable data from websites and use it for data analysis, market research, and more.

You'll learn how to use Python libraries like BeautifulSoup, requests, and Selenium to scrape data from websites efficiently and without errors. This guide also covers handling complex sites, dealing with dynamic content, and saving your data for further analysis.

What you'll learn:

The basics of web scraping and Python libraries like BeautifulSoup and requests

Setting up your Python environment for scraping projects

Extracting text, images, and links from websites

Handling complex websites with dynamic content using Selenium

Saving scraped data to CSV or JSON formats for further analysis

Dealing with anti-scraping measures like CAPTCHAs and bots

Performing data cleaning and preparation for analysis

Writing automated scripts to scrape data regularly

Building web scraping applications to collect and process large amounts of data

Understanding the legal and ethical implications of web scraping

By the end of this book, you'll be able to scrape data from websites confidently and effectively, preparing it for analysis and turning raw web data into actionable insights.

Perfect for beginners and data analysts who want to learn how to collect and analyze web data using Python.

• Format: Paperback
• Language: English
• ISBN: B0F9G4PCHG
• ISBN13: 9798284219133
• Release Date: May 2025
• Publisher: Independently Published
• Length: 206 Pages
• Weight: 0.62 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"