Goodreads Book Data Extraction: Build a Reading Tracker or Recommendation Engine

Goodreads has the largest book database on the web — over 3 billion books catalogued with ratings, reviews, and reader metadata. Extracting this data lets you build recommendation engines, reading trackers, and literary analysis tools. What Book Data Can You Extract? Book titles, authors, ISBNs, and descriptions Average ratings and rating distributions Review text and review counts Genre/shelf categorization Author profiles and bibliographies Similar book recommendations Setting Up the Scraper import requests from bs4 import BeautifulSoup import json import time import re class GoodreadsScraper : BASE_URL = " https://www.goodreads.com " def __init__ ( self ): self . session = requests . Session () self . session . headers . update ({ ' User-Agent ' : ' Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) ' , ' Accept ' : ' text/html,application/xhtml+xml ' , }) def get_book_details ( self , book_url ): """ Extract detailed book information. """ resp = self . session . get ( book_url ) soup