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Practical Web Scraping for Data Science

This repository contains the source code for the fourteen examples included in the book Practical Web Scraping for Data Science: Best Practices and Examples with Python by Seppe vanden Broucke and Bart Baesens.

See for more information, or buy the book on Amazon.

The following examples are included and explained in the book and available here under python-examples:

  1. Scraping Hacker News, see hacker-news folder
  2. Using the Hacker News API, see hacker-news folder
  3. Quotes to Scrape, see quotes-to-scrape folder
  4. Books to Scrape, see books-to-scrape folder
  5. Scraping GitHub Stars, see github folder
  6. Scraping Mortgage Rates, see mortgage-rates folder
  7. Scraping and Visualizing IMDB Ratings, see imdb folder
  8. Scraping IATA Airline Information, see iata folder
  9. Scraping and Analyzing Web Forum Interactions, see web-forum folder
  10. Collecting and Clustering a Fashion Data Set, see fashion-clustering folder
  11. Sentiment Analysis of Scraped Amazon Reviews, see product-reviews folder
  12. Scraping and Analyzing News Articles, see news-articles folder
  13. Scraping and Analyzing a Wikipedia Graph, see wikipedia-graph folder
  14. Scraping and Visualizing a Board Members Graph, see board-members folder
  15. Breaking CAPTCHA’s Using Deep Learning, see captcha-cracking folder


Example source code for the book "Web Scraping for Data Science with Python"



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