# Goodreads Book Review Extractor

**Use case:** 

Extract comprehensive book reviews and reader insights from Goodreads. Receive structured data on ratings, reviewer profiles, and feedback.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.goodreads.com/book/show/2767052/reviews"
    }
  ],
  "results_wanted": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}
```

## Output

```json
{
  "reviewer_name": {
    "label": "Reviewer",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "review_text": {
    "label": "Review",
    "format": "string"
  },
  "helpful_count": {
    "label": "Helpful",
    "format": "number"
  },
  "comment_count": {
    "label": "Comments",
    "format": "number"
  },
  "review_url": {
    "label": "Review URL",
    "format": "string"
  },
  "book_url": {
    "label": "Book URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Goodreads Review Scraper 📚](https://apify.com/shahidirfan/goodreads-review-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/shahidirfan/goodreads-review-scraper) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/shahidirfan/goodreads-review-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).