Collect Goodreads book reviews by URL π. Access detailed review data with user names, ratings β, review text, and profile links π. Ideal for analyzing book feedback, researching titles, and gathering data for projects or studies π. Perfect for book lovers, researchers, and literary professionals.
The Goodreads Review Scraper allows you to gather detailed reviews from Goodreads, including ratings, comments, review text, and more. Perfect for exploring book feedback or analyzing opinions on specific titles!
There's no limit to the number of results you can extract π!
Customize your search parameters to collect as many reviews as needed.
Analyze reviews for book research.
Discover user opinions on specific genres or titles.
Gather ratings and comments for book marketing or recommendations.
Unlimited Results π: Extract as many reviews as needed.
Customizable Filters π§: Search reviews by URL, max items, and more.
Detailed Review Info π: Get review ID, user details, rating, review text, and more.
Export Options πΎ: Download data in JSON, CSV, Excel, or HTML.
This scraper operates on a monthly subscription basis, priced at $18.99/month.
Using the Dribbble Designer Scraper is straightforward:
1Sign up for an account on Apify π. 2 3Provide the Goodreads book URL. 4 5Set the number of reviews to extract. 6 7Start the scraper and download your results in your preferred format. 8 9Once scraping is done, download the data in your preferred format: JSON π, CSV π, XML π, Excel π, or HTML π.
The scraper accepts various parameters for customization. Hereβs an example of how to structure your input:
1url_link = "https://www.goodreads.com/book/show/1137215" 2maxitems = 210
Once the extraction is complete, the data will be saved in a dataset. You can download this data in multiple formats (JSON, CSV, XML, RSS, HTML Table).
1{ 2 "review_id": "kca://review:goodreads/amzn1.gr.review:goodreads.v1.RNDBp8w45i5aErLE3Wf0Mg", 3 "user_name": "Nancy", 4 "user_id": 763271, 5 "user_profile": "https://www.goodreads.com/user/show/763271-nancy", 6 "rating": 4, 7 "review_text": "Dazzling inventions, air pirates, evil bad guys, underground vaults, goggles, daring rescues, gold, Blight gas, a one-armed bartender, a princess, zombies. Oh, what fun! The setting was vividly described and rich in details. The main characters were well developed and fascinating. Briar Wilkes, widow of Leviticus Blue, eccentric inventor" 8}
If you're interested in other Spotify, Pinterest, Google, social media scraper or real estate Actors:
Yes, you can use the Apify API with Python.
To access the Goodreads Review Scraper π via Python, you can use the apify-client Python package. You can find more details about how to use the client in our Python Client Documentation.
π Leave us a βββββ if you are satisfied with the product! π For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πͺοΈπ©οΈ Happy scraping! π
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!