Goodreads Review Scraper 📖 - Faster & Cheaper

Goodreads Review Scraper 📖

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!

How Many Results Can You Extract Using This Tool? 🔍

There's no limit to the number of results you can extract 📊!

Customize your search parameters to collect as many reviews as needed.

Use Cases:

• Analyze reviews for book research.

• Discover user opinions on specific genres or titles.

• Gather ratings and comments for book marketing or recommendations.

Key Features ✨

• Unlimited Results 📈: Extract as many reviews as needed.

• Customizable Filters 🔧: Search reviews by URL, max items, and more.

• Detailed Review Info 📝: Get review ID, user details, rating, review text, and more.

• Export Options 💾: Download data in JSON, CSV, Excel, or HTML.

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $18.99/month.

How to Use 📲

Using the Dribbble Designer Scraper is straightforward:

1Sign up for an account on Apify 🔑.
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 📄, CSV 📊, XML 📑, Excel 📈, or HTML 🌐.

Example Input 📲 👌

The scraper accepts various parameters for customization. Here’s an example of how to structure your input:

1url_link = "https://www.goodreads.com/book/show/1137215"
2maxitems = 210

Example Output from Dribbble Scraper 👌

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}

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Can I Use This Goodreads Review Scraper 📖 API in Python? 🎓

Yes, you can use the Apify API with Python.

To access the Goodreads Review Scraper 📖 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.

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️ Happy scraping! 😊