Project Gutenberg Free eBooks & Authors Catalog Radar

What can Project Gutenberg Free eBooks & Authors Catalog Radar do?

Project Gutenberg Free eBooks & Authors Catalog Radar extracts public data from the Project Gutenberg public-domain literature archive (via Gutendex) in an automated, lightweight scraper. Retrieve structured records, identifiers, status metrics, and metadata in seconds without managing proxies or scraping infrastructure.

📦 What you can extract	⚙️ Features & integrations
📖 Book Metadata: Book title, Gutenberg ID, language codes ✍️ Author Profiles: Author name, birth year, death year 📚 Subjects & Bookshelves: Literary genres, LoC classifications, topics 💾 Media Formats: Direct links to HTML, EPUB, Plain Text UTF-8, and Mobipocket 📊 Popularity & Downloads: Total historical download counts	⚡ Zero proxies required: Direct, fast cloud execution 📅 Scheduling & automation: Run hourly, daily, or on-demand ⬇️ Multi-format export: Download JSON, CSV, Excel, or XML 🦾 API & SDK ready: Native Python and Node.js SDK integrations 🤖 AI & LLM friendly: Clean structured data for Claude, GPT, and agents

How much will scraping cost?

This Actor uses a transparent Pay-Per-Event (PPE) pricing model:

• Only $1.00 per 1,000 results ($0.0010 per record).
• Free Monthly Tier: Apify provides $5 in free usage credits every month, allowing you to scrape up to 5,000 records completely free each month.
• No recurring monthly subscriptions, no proxy fees, and no charge for runs that return 0 results.

How do I use Project Gutenberg Free eBooks & Authors Catalog Radar?

1. Create an account: Sign up for free at console.apify.com.
2. Open the Actor: Navigate to Project Gutenberg Free eBooks & Authors Catalog Radar in the Apify Store or Console.
3. Configure parameters: Enter your target search filters or leave the default settings to test.
4. Click Start: Hit Save & Start and watch live logs as records are extracted.
5. Download your data: Export in JSON, CSV, or Excel, or consume via the Apify API.

⬇️ Input Parameters

Configure extraction using the following input fields:

Parameter	Type	Default	Description
search	string	science	Search books by title, author, or subject (e.g. sherlock, jane austen, philosophy, science fiction).

⬆️ Output & Sample Dataset

Extracted items are stored in your default dataset. Here is an example of the clean JSON record structure:

[
  {
    "id": 1342,
    "title": "Pride and Prejudice",
    "authors": [
      {
        "name": "Austen, Jane",
        "birthYear": 1775,
        "deathYear": 1817
      }
    ],
    "subjects": [
      "Courtship -- Fiction",
      "Domestic fiction",
      "England -- Fiction"
    ],
    "languages": [
      "en"
    ],
    "downloadCount": 42100,
    "textUrl": "https://www.gutenberg.org/ebooks/1342.txt.utf-8",
    "extractedAt": "2026-11-04T08:00:00.000Z"
  }
]

💼 What can you do with this data?

• Digital E-reader Libraries: Power curated collections of copyright-free classic literature.
• LLM Training & Text Mining: Harvest public-domain historical prose for NLP research.
• Literary Analysis Dashboards: Analyze historical reading trends and author popularity.
• Audiobook & TTS Production: Identify public-domain stories ready for voice narration.

❓ Frequently Asked Questions

Do I need proxies to run this Actor?

No. This Actor connects directly to public data endpoints and does not require paid residential or datacenter proxies.

Can I schedule this Actor to run automatically?

Yes. Use the Schedules tab in Apify Console to run this Actor automatically every hour, daily, or on any custom cron schedule.

Can I integrate this scraper with Python or Node.js?

Yes. You can invoke this Actor and stream results directly using the official Apify Python SDK or Apify JavaScript/TypeScript SDK.

How can I export my data?

You can download your dataset at any time in JSON, CSV, Excel, XML, or HTML table directly from the Apify Console or via API.