Treffer: Python Web Scraping Ed. 2

Successfully scrape data from any website with the power of Python 3.xAbout This BookA hands-on guide to web scraping using Python with solutions to real-world problemsCreate a number of different web scrapers in Python to extract informationThis book includes practical examples on using the popular and well-maintained libraries in Python for your web scraping needsWho This Book Is ForThis 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.What You Will LearnExtract data from web pages with simple Python programmingBuild a concurrent crawler to process web pages in parallelFollow links to crawl a websiteExtract features from the HTMLCache downloaded HTML for reuseCompare concurrent models to determine the fastest crawlerFind out how to parse JavaScript-dependent websitesInteract with forms and sessionsIn DetailThe Internet contains the most useful set of data ever assembled, most of which is publicly accessible for free. However, this data is not easily usable. 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. You'll learn to use caching with databases and files to save time and manage the load on servers. After covering the basics, you'll get hands-on practice 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