#goodreads
5 guides
Scrape Book Data from Goodreads (Titles, Authors, Ratings, and Reviews)
A practical Goodreads scraper in Python: collect book title/author/rating count/review count + key metadata using robust selectors, ProxiesAPI in the fetch layer, and export to JSON/CSV.
Scrape Book Reviews and Ratings from Goodreads
Extract Goodreads review text, star ratings, review counts, and reviewer metadata for a clean book-sentiment dataset.
Scrape Book Reviews and Ratings from Goodreads with Python (JSON-LD + Top Reviews)
Learn how to scrape Goodreads book pages responsibly: extract rating, rating count, review count via JSON-LD, parse key metadata, and collect top review snippets. Includes screenshot and ProxiesAPI-ready request patterns.
Scrape Goodreads Author Pages: Books, Series, Ratings (ProxiesAPI + Python)
Extract author profile data plus a clean list of books (title, URL, average rating, rating count) from Goodreads author pages. Includes real selectors, retries, and a screenshot.
Scrape Book Data from Goodreads with Python (List Pages + Pagination)
Scrape Goodreads list pages for title/author/rating/reviews with Python: fetch via ProxiesAPI, parse real HTML selectors, paginate safely, and export CSV/JSON.