# Download Airbnb Reviews for One Listing

**Use case:** 

Everything a single listing has ever collected, up to a thousand reviews in one run, oldest complaints included. This is the due-diligence pull: before buying a property, taking over its management or benchmarking a long-running competitor, read the whole record rather than the recent page. Cost: 1000 review rows at $0.005 = at most $5.00 a run.

## Input

```json
{
  "startUrls": [],
  "listingIds": [
    "11562247"
  ],
  "locationQueries": [],
  "maxListingsPerQuery": 20,
  "maxReviewsPerListing": 1000,
  "reviewsSort": "most_recent",
  "minRating": 0,
  "locale": "en",
  "includeListingRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "id": {
    "label": "Id",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "text_localized": {
    "label": "Text localized",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "created_at": {
    "label": "Created at",
    "format": "string"
  },
  "reviewer_name": {
    "label": "Reviewer name",
    "format": "string"
  },
  "reviewer_location": {
    "label": "Reviewer location",
    "format": "string"
  },
  "host_reply": {
    "label": "Host reply",
    "format": "string"
  },
  "stay_type": {
    "label": "Stay type",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Airbnb Reviews Scraper — Guest Reviews, Ratings & Replies](https://apify.com/kestrel/airbnb-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/airbnb-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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