Scraping Goodreads in 2026: Books, Ratings & Author Data Without API Keys

Goodreads shut down its public API in December 2020, leaving developers with no official way to access book data programmatically. But the data is still there on every public book page — ratings, reviews, genres, author info — all rendered in HTML that's straightforward to parse. In this guide, I'll show you how to scrape Goodreads book pages using Python and BeautifulSoup to extract the data you need for book recommendation systems, reading analytics, and publisher research. Why Scrape Goodreads? Goodreads remains the largest book review platform with over 150 million members and 2.5 billion books shelved. It's the single best source for: Book ratings and reviews — aggregated from millions of readers Genre classification — community-driven shelving data Author profiles — bibliographies, follower counts, influences Reading trends — what's popular, what's being discussed Since the API shutdown, web scraping is the only programmatic option. Let's build it. Understanding Goodreads Page St