# Airbnb Listing Reviews Scraper (`good-apis/airbnb-reviews-scraper`) Actor

Guest reviews for one Airbnb listing — reviewer, star rating, date and the full review text, with a stable review id for deduping. No login. Pay per result ($4/1k).

- **URL**: https://apify.com/good-apis/airbnb-reviews-scraper.md
- **Developed by:** [Danny](https://apify.com/good-apis) (community)
- **Categories:** Travel, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Airbnb Listing Reviews Scraper

Pull recent **guest reviews for any Airbnb listing** straight from its URL or room id. Each review returns
the **reviewer, star rating, date, and the full review text**, plus a **stable review id** for deduping.
No login, no browser to manage.

Give it a listing URL (`airbnb.com/rooms/<id>`) or a bare room id — the kind returned by the **Airbnb
Search Scraper** — and how many reviews you want.

**Pricing: $4.00 per 1,000 reviews** (pay per result) — you're only charged for reviews actually returned.

### What you get

Every review returns:

| Field | Description |
|---|---|
| `review_id` | Stable Airbnb review id (dedup key) |
| `reviewer` | Reviewer's first name |
| `rating` | Star rating the guest gave, 1–5 |
| `date` | When the review was written (e.g. "June 2026", "1 week ago") |
| `text` | The full review text |

### Input

| Field | Required | Description |
|---|---|---|
| `url` | ✓ | Airbnb listing URL (`airbnb.com/rooms/<id>`) or a bare room id |
| `max_reviews` | | How many reviews to return (default 6, up to 12) |

```json
{ "url": "https://www.airbnb.com/rooms/22712551", "max_reviews": 6 }
```

### Example output

```json
{
  "review_id": "1726754688535307608",
  "reviewer": "Manpreet",
  "rating": 5,
  "date": "1 week ago",
  "text": "We had a wonderful stay at Priscilla's apartment. Priscilla was very helpful and shared a lot of local knowledge which was great to explore local areas and restaurants. The listing matched the description and would highly recommend."
}
```

### Notes & limits

- Airbnb renders the **most recent ~6 reviews** on the listing page; `max_reviews` caps how many are
  returned (up to 12). This surface targets **recent reviews**, not a listing's entire review history.
- Reviews come back most-recent-first and are deduped by `review_id`.
- The URL must be a specific listing page (`airbnb.com/rooms/<id>`). A listing with no reviews simply
  returns nothing.
- For the listing itself (amenities, host, description, photos, ratings) use the **Airbnb Listing Detail
  Scraper**; to find listings, use the **Airbnb Search Scraper**.

### Use it from Python

```python
from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("<THIS_ACTOR_ID>").call(
    run_input={"url": "https://www.airbnb.com/rooms/22712551", "max_reviews": 6})
for r in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(r["rating"], r["reviewer"], r["text"][:80])
```

# Actor input Schema

## `url` (type: `string`):

Airbnb listing URL (airbnb.com/rooms/<id>) or a bare room id

## `max_reviews` (type: `integer`):

Max reviews to return (the page renders ~6 inline)

## Actor input object example

```json
{
  "url": "https://www.airbnb.com/rooms/22712551",
  "max_reviews": 6
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped items in the default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://www.airbnb.com/rooms/22712551",
    "max_reviews": 6
};

// Run the Actor and wait for it to finish
const run = await client.actor("good-apis/airbnb-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "url": "https://www.airbnb.com/rooms/22712551",
    "max_reviews": 6,
}

# Run the Actor and wait for it to finish
run = client.actor("good-apis/airbnb-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://www.airbnb.com/rooms/22712551",
  "max_reviews": 6
}' |
apify call good-apis/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=good-apis/airbnb-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/FFuDONOs8yXwyq0bG/builds/L6daptDlrJfLRB8Ad/openapi.json