Go to example tasks
Compare Goodreads Reviews of Competing Books
Compare reader feedback across competing books by collecting Goodreads reviewer names, ratings, review text, review dates, and profile links. Use the data to identify audience preferences, strengths, weaknesses, and competitive opportunities within a book category or market segment.
Goodreads Reviews Scraper - Low-cost๐ฒ๐ฅ ๐โญdelectable_incubator/goodreads-reviews-scraper-low-cost
Review ID
User Name
User ID
User Profile
+10 fieldsTextNumberBooleanListObject
Input
URLs of the Goodreads books to scrape reviews from ๐จ(required):https://www.goodreads.com/book/show/17408897+1
Max reviews you want to scrape per book:70
Output fields
Review ID
User Name
User ID
User Profile
Rating
Review Text
Original Text
Created At
Updated At
Created Date
Updated Date
Likes
Comments
Tags
Sign up on Apify01
Create your Apify account to access the Goodreads Reviews Scraper - Low-cost๐ฒ๐ฅ ๐โญ.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
