Python Web Scraping Cookbook

Untangle your web scraping complexities and access web data with ease using Python scripts About This Book • Hands-on recipes for advancing your web scraping skills to expert level. • One-Stop Solution Guide to address complex and challenging web scraping tasks using Python. • Understand the web page structure and collect meaningful data from the website with ease Who This Book Is For This book is ideal for Python programmers, web administrators, security professionals or someone who wants to perform web analytics would find this book relevant and useful. Familiarity with Python and basic understanding of web scraping would be useful to take full advantage of this book. What You Will Learn • Use a wide variety of tools to scrape any website and data-including BeautifulSoup, Scrapy, Selenium, and many more • Master expression languages such as XPath, CSS, and regular expressions to extract web data • Deal with scraping traps such as hidden form fields, throttling, pagination, and different status codes • Build robust scraping pipelines with SQS and RabbitMQ • Scrape assets such as images media and know what to do when Scraper fails to run • Explore ETL techniques of build a customized crawler, parser, and convert structured and unstructured data from websites • Deploy and run your scraper-as-aservice in AWS Elastic Container Service In Detail 

Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance scrapers and deal with crawlers, sitemaps, forms automation, Ajax-based sites, caches, and more. You'll explore a number of real-world scenarios where every part of the development/product life cycle will be fully covered. You will not only develop the skills to design and develop reliable, performance data flows, but also deploy your codebase to an AWS.