#goodreads

Build a Goodreads dataset with book titles, authors, ratings, and review counts from a public list page using Python and an optional ProxiesAPI fetch layer.

Extract Goodreads book metadata, average rating, rating counts, review counts, and top review snippets with Python using JSON-LD plus __NEXT_DATA__ review objects.

Extract Goodreads review text, star ratings, review counts, pagination cursors, and reviewer metadata into a clean book-sentiment dataset.

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.

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.

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 Goodreads list pages for title/author/rating/reviews with Python: fetch via ProxiesAPI, parse real HTML selectors, paginate safely, and export CSV/JSON.