Hands-On Web Scraping with Python

Web scraping turns the information scattered across websites into data you can work with. In Hands-On Web Scraping with Python, Anish Chapagain builds a practical route from understanding how web pages are structured to extracting information with Python libraries and tools.

The book moves from foundations into hands-on techniques, so readers can connect the mechanics of HTTP, HTML, and page structure with the choices involved in collecting data. Its examples span familiar libraries as well as browser automation and APIs—useful context for seeing that scraping is not a single tool or one-size-fits-all task.

Start with how the web is put together

Early chapters introduce web-scraping fundamentals and relevant technologies, then show how Python can access web content. The coverage includes URL handling and HTTP methods, followed by ways to locate and navigate information within HTML documents.

Choose the right way to extract information

Chapagain explores XPath and CSS selectors alongside libraries including lxml and pyquery. Later sections turn to Beautiful Soup and Scrapy, with material on building crawlers and working across multiple pages. Seeing several approaches side by side can help readers understand which tool fits a particular page or extraction task.

Handle more than simple pages

The book also addresses secure web interactions, including forms, authentication, cookies, and sessions. Further topics include web-based APIs, Selenium for browser-driven scraping, and regular expressions for extracting data from text.

From collected data to useful work

The final topics look beyond collection to managing scraped data, analysis, visualization, data mining, and machine learning. This wider view puts scraping in context: gathering information is often the beginning of a larger data workflow.

Who may find it useful?

This guide is suited to Python programmers, data analysts, and readers learning web scraping. The publisher identifies working knowledge of Python as a prerequisite, making it a practical next step for readers who already know the basics and want to explore web data collection in greater depth.

For readers ready to move from browsing page source to writing Python-based scrapers, this book offers a broad tour of the tools and techniques involved.