📚 Open Library Books & Authors Scraper

Extract comprehensive book metadata, edition history, ISBNs, author credits, genres, ratings, and high-resolution cover artwork from the worldwide Open Library bibliographic database.

Built for AI engineers building LLM RAG pipelines, digital book clubs, university libraries, and reading recommendation platforms.

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🥊 Why This Actor Beats the Competition

Feature	📚 This Actor (litezero)	🐢 Generic HTML Scrapers	🔒 Goodreads API Alternatives
Speed	⚡ < 1.5 seconds / query	🐌 15–30 seconds / page	⏳ Blocked or deprecated
Pricing	💰 $1.00 / 1,000 books (Free Platform Usage)	💸 Heavy compute bill ($5–$15/run)	💳 Expensive monthly SaaS
Data Completeness	📦 Full ISBNs, Editions, Subjects, Ratings	⚠️ Flaky CSS selectors	❌ Limited public access
Anti-Bot Resiliency	🛡️ Direct API gateway, zero blocks	🚫 Frequent 403 / Cloudflare blocks	🔑 Strict rate limits & API key bans
Setup Friction	🚀 Zero API keys required	🛠️ Complex headless browser config	📝 Lengthy approval process

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🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console (No-Code)

1. Enter your search query (e.g. artificial intelligence, clean code, or Stephen King).
2. Optional: Filter by author name or genre/subject.
3. Select your sort order (Most Editions, Newest, Oldest, or Relevance).
4. Click Start and download your dataset as JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "query": "machine learning",
    "sort": "editions",
    "maxResults": 25
}

run = client.actor("litezero/open-library-books-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} by {', '.join(item['author_name'])} ({item['first_publish_year']})")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/open-library-books-scraper').call({
    query: 'neural networks',
    maxResults: 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} books.`);

Method 4: REST API / cURL

curl "https://api.apify.com/v2/acts/litezero~open-library-books-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "data science", "maxResults": 10}'

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📥 Input Parameters

Parameter	Type	Required	Default	Description
query	string	Yes	"python programming"	Search term across titles, subjects, and descriptions.
author	string	No	""	Filter results by specific author name.
subject	string	No	""	Filter by subject classification (e.g. computer science).
sort	string	No	"editions"	Sorting: editions, new, old, relevance.
maxResults	integer	No	20	Maximum number of books to retrieve (1–100).

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📤 Output Data Dictionary & Sample JSON

{
  "title": "Learning Python",
  "key": "/works/OL45804W",
  "openlibrary_url": "https://openlibrary.org/works/OL45804W",
  "author_name": [
    "Mark Lutz"
  ],
  "first_publish_year": 1999,
  "edition_count": 18,
  "isbn": [
    "9780596158064",
    "0596158066",
    "1565924649"
  ],
  "publisher": [
    "O'Reilly Media",
    "O'Reilly & Associates"
  ],
  "subject": [
    "Python (Computer program language)",
    "Object-oriented programming",
    "Software engineering"
  ],
  "language": [
    "eng"
  ],
  "ratings_average": 4.12,
  "ratings_count": 89,
  "want_to_read_count": 420,
  "currently_reading_count": 65,
  "already_read_count": 140,
  "number_of_pages_median": 1540,
  "cover_url": "https://covers.openlibrary.org/b/id/8315124-L.jpg",
  "scraped_at": "2026-10-04T06:00:00.000Z"
}

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💡 Top Commercial Use Cases

1. AI RAG Knowledge Bases: Build comprehensive bibliographic knowledge graphs and digital library catalogs for LLM agents.
2. E-Commerce & Book Arbitrage: Match ISBNs and editions across marketplaces (Amazon, eBay, AbeBooks) to discover rare book valuation opportunities.
3. Personalized Reading Apps: Power book recommendation engines, reading tracking applications, and academic syllabus builders with verified metadata.