# Open Library Scraper — example run

**Use case:** 

Ready-to-run Open Library Scraper. Scrape Open Library by search term, ISBN or subject: title, authors, ISBNs, publishers, first publication year, subjects,…

## Input

```json
{
  "searchQueries": [
    "dune"
  ],
  "isbns": [
    "9780441013593",
    "0-441-01359-0"
  ],
  "subjects": [
    "science fiction",
    "cryptography"
  ],
  "includeEditions": false,
  "maxEditionsPerBook": 10,
  "maxResults": 20
}
```

## Output

```json
{
  "title": {
    "label": "Title"
  },
  "authors": {
    "label": "Authors"
  },
  "firstPublishYear": {
    "label": "First published"
  },
  "publishers": {
    "label": "Publishers"
  },
  "editionCount": {
    "label": "Editions"
  },
  "ratingsAverage": {
    "label": "Rating"
  },
  "url": {
    "label": "Open Library",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Open Library Scraper: Books, Authors & Editions](https://apify.com/arman-bd/openlibrary-books-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arman-bd/openlibrary-books-scraper) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arman-bd/openlibrary-books-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
