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Goodreads Reviews for Book Sentiment Research

Collect Goodreads reviews from selected books to analyze reader sentiment and opinions. Extract reviewer names, ratings, review text, review dates, and profile links for comparing reader reactions across books and supporting sentiment research.

Try for free
Goodreads Reviews Scraper - Low-cost💲🔥 📚⭐
Goodreads Reviews Scraper - Low-cost💲🔥 📚⭐delectable_incubator/goodreads-reviews-scraper-low-cost
Review ID
User Name
User ID
User Profile
+10 fields
Text
Number
Boolean
List
Object

Input

URLs of the Goodreads books to scrape reviews from 🚨(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

How it works

Sign up on Apify or log in

The Goodreads Reviews Scraper - Low-cost💲🔥 📚⭐ Actor is ready to run with the inputs already set for "Goodreads Reviews for Book Sentiment Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Goodreads Reviews for Book Sentiment Research" task

The Goodreads Reviews Scraper - Low-cost💲🔥 📚⭐ Actor will start running based on the input automatically. You can also change all the input fields, like URLs of the Goodreads books to scrape reviews from 🚨 and max reviews you want to scrape per book, to match your specific use case.

Receive the "Goodreads Reviews for Book Sentiment Research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as review id, user name, user id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Goodreads Reviews for Book Sentiment Research" task via API.

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