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• A hands-on guide to web scraping using Python with solutions to real-world problems
• Create a number of different web scrapers in Python to extract information
• This book includes practical examples on using the popular and well-maintained libraries in Python for your web scraping needs

This book is aimed at developers who want to use web scraping for legitimate purposes. Prior programming experience with Python would be useful but not essential. Anyone with general knowledge of programming languages should be able to pick up the book and understand the principals involved.

• Extract data from web pages with simple Python programming
• Build a concurrent crawler to process web pages in parallel
• Follow links to crawl a website
• Extract features from the HTML
• Cache downloaded HTML for reuse
• Compare concurrent models to determine the fastest crawler
• Find out how to parse JavaScript-dependent websites
• Interact with forms and sessions
• Write a beautifulsoup scraper to extract content from a static web page
• Implement Python threads for concurrent code execution
• Investigate headers and cookies for clues about automation

The Internet contains the most useful set of data ever assembled, largely publicly accessible for free. However, this data is not easily reusable. It is embedded within the structure and style of websites and needs to be carefully extracted. Web scraping is becoming increasingly useful as a means to gather and make sense of the wealth of information available online.

This book is the ultimate guide to using the latest features of Python 3.x to scrape data from websites. In the early chapters, you'll see how to extract data from static web pages. After covering the basics, you'll get hands-on practice in building a more sophisticated crawler using browsers, crawlers, and concurrent scrapers.

You'll determine when and how to scrape data from a JavaScript-dependent website using PyQt and Selenium. You'll get a better understanding of how to submit forms on complex websites protected by CAPTCHA. You'll also learn how to create class-based scrapers with Scrapy libraries and implement your learning on real websites.

By the end of the book, you will have explored testing websites with scrapers, remote scraping, best practices, working with images, and many other relevant topics.