Web Scraping with Python

Collecting More Data from the Modern Web

Nonfiction, Computers, Internet, Web Development, Programming, Programming Languages
Cover of the book Web Scraping with Python by Ryan Mitchell, O'Reilly Media
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Author: Ryan Mitchell ISBN: 9781491985526
Publisher: O'Reilly Media Publication: March 21, 2018
Imprint: O'Reilly Media Language: English
Author: Ryan Mitchell
ISBN: 9781491985526
Publisher: O'Reilly Media
Publication: March 21, 2018
Imprint: O'Reilly Media
Language: English

If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.

Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server’s response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you’re likely to encounter.

  • Parse complicated HTML pages
  • Develop crawlers with the Scrapy framework
  • Learn methods to store data you scrape
  • Read and extract data from documents
  • Clean and normalize badly formatted data
  • Read and write natural languages
  • Crawl through forms and logins
  • Scrape JavaScript and crawl through APIs
  • Use and write image-to-text software
  • Avoid scraping traps and bot blockers
  • Use scrapers to test your website
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.

Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the server’s response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario you’re likely to encounter.

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