📚 Goodreads Reviews Scraper

🚀 Collect book reviews and ratings from Goodreads in minutes. Search by keyword or genre, or paste book URLs. Export reviews, ratings, book info, and reviewer details. No coding, no Goodreads account required.

🕒 Last updated: 2026-04-16 · 📊 15+ fields per review · 🔍 Keyword + genre filters · ⭐ Ratings + reviews · 🚫 No auth required

The Goodreads Reviews Scraper collects book review data from Goodreads, returning 15+ fields per review: reviewer name, rating (1-5), review text, book title, author, genre, publication date, and review date. Filter by keyword, genre, or paste direct book page URLs.

Goodreads hosts over 100 million reviews. This Actor exports structured review data for publishing research, sentiment analysis, and book market intelligence.

🎯 Target Audience	💡 Primary Use Cases
Publishers, authors, book marketers, literary agents, academic researchers, sentiment analysts	Book market research, review sentiment analysis, author benchmarking, genre trend tracking, publishing intelligence

---

📋 What the Goodreads Reviews Scraper does

Three input modes:

• 🔗 URL mode. Paste any Goodreads book or search URL.
• 🔍 Keyword search. Search by book title, author, or keyword.
• 📂 Genre filter. Browse by Goodreads genre categories.

Each review record includes book title, author, reviewer username, rating (1-5), full review text, review date, book genre, and Goodreads URL.

💡 Why it matters: reading through hundreds of Goodreads reviews manually is tedious. This Actor exports structured review data at scale for sentiment analysis, market research, or publishing intelligence.

---

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough.

---

⚙️ Input

Input	Type	Default	Behavior
startUrl	string	""	Goodreads book or search URL.
searchQuery	string	""	Book title, author, or keyword.
genre	string	""	Goodreads genre category.
maxItems	integer	10	Max reviews. Paid: up to 1,000,000.

Example: reviews for a specific book.

{
    "startUrl": "https://www.goodreads.com/book/show/40121378-atomic-habits",
    "maxItems": 100
}

Example: search for science fiction reviews.

{
    "searchQuery": "science fiction",
    "genre": "Science Fiction",
    "maxItems": 50
}

---

📊 Output

🧾 Schema

Field	Type	Example
📚 bookTitle	string	"Atomic Habits"
👤 author	string	"James Clear"
⭐ rating	number	5
📝 reviewText	string	"This book changed my approach to..."
👤 reviewerName	string	"BookLover42"
📅 reviewDate	string	"2026-03-15"
📂 genre	string	"Self Help"
🔗 bookUrl	string	"https://www.goodreads.com/book/..."
🕒 scrapedAt	ISO 8601	"2026-04-16T00:00:00.000Z"

📦 Sample records

---

✨ Why choose this Actor

	Capability
📚	100M+ reviews. Full Goodreads review archive.
🔍	3 input modes. URL, keyword search, genre filter.
⭐	Rating data. 1-5 star ratings per review.
📝	Full review text. Complete reader opinions.
👤	Reviewer info. Username per review.
⚡	Scalable. Single-book to full-genre sweeps.
🚫	No authentication. Public review data.

---

📈 How it compares to alternatives

Approach	Cost	Coverage	Full text	Filters	Setup
⭐ Goodreads Reviews Scraper (this Actor)	$5 free credit, then pay-per-use	Full Goodreads	Yes	keyword, genre, URL	⚡ 2 min
Manual Goodreads browsing	Free	One book at a time	Yes	UI only	🕒 Hours
Goodreads API (deprecated)	N/A	Discontinued	N/A	N/A	N/A

---

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Goodreads Reviews Scraper page.
3. 🎯 Set input. Paste a book URL or search by keyword/genre.
4. 🚀 Run it. Click Start.
5. 📥 Download. Grab results in the Dataset tab.

⏱️ Total time: 3-5 minutes. No coding required.

---

💼 Business use cases

📚 Publishing & Marketing Analyze reader sentiment per book Track genre popularity trends Benchmark against competitor titles Identify themes in reader feedback	📊 Research & Analytics Build book review datasets Study rating distributions by genre Analyze review length and quality Track seasonal reading trends
✍️ Authors & Agents Monitor reviews for your titles Track reader reception over time Analyze competitor book performance Identify reviewer influencers	🛒 Book Retail & Libraries Curate collections by genre and rating Track trending titles by review volume Build recommendation datasets Analyze reading preferences

---

🔌 Automating Goodreads Reviews Scraper

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

---

❓ Frequently Asked Questions

---

🔌 Integrate with any app

• Make - Automate workflows
• Zapier - Connect 5,000+ apps
• Slack - Get notifications
• Airbyte - Data pipelines
• GitHub - Trigger from commits
• Google Drive - Export to Sheets

---

🔗 Recommended Actors

• 🍺 Untappd Beer Review Scraper - Beer ratings
• 📚 Rate My Professors Scraper - Professor ratings
• 🛒 Amazon Reviews Scraper - Product reviews
• 📚 Semantic Scholar Scraper - Academic papers
• 📰 PR Newswire Scraper - Press releases

💡 Pro Tip: browse the complete ParseForge collection for more review and content scrapers.

---

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

---

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Goodreads or Amazon. All trademarks mentioned are the property of their respective owners. Only publicly available review data is collected.