# Airbnb Reviews Scraper (`piotrv1001/airbnb-reviews-scraper`) Actor

Scrape all Airbnb reviews of any listing: star rating, full review text, language, date, reviewer name, profile and photo, stay details and the host's response. Newest, most relevant, highest or lowest rated first. Bulk listing URLs, export to JSON, CSV or Excel for sentiment analysis.

- **URL**: https://apify.com/piotrv1001/airbnb-reviews-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Categories:** Travel, Real estate, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 reviews

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### ⭐ Airbnb Reviews Scraper: Export All Airbnb Reviews

Export **Airbnb reviews** of any listing as JSON, CSV or Excel. The **Airbnb Reviews Scraper** collects every review's star rating, full text, language, an English translation when Airbnb has one, date, the reviewer's name, profile link and photo, stay details and the host's response. Use it for review analysis, guest sentiment research and competitor monitoring, or as a simple Airbnb reviews API.

### 🎯 Use Cases

- **Airbnb review analysis**: download all reviews of your own or competing listings and find what guests praise or complain about.
- **Sentiment and topic research**: feed review text (original and English translation) into an LLM or a sentiment model.
- **Competitor monitoring for hosts**: schedule a weekly run of the newest reviews for nearby listings.
- **Property due diligence**: read the lowest-rated reviews of a listing or building before you buy, rent or partner.
- **Training and evaluation data**: build a multilingual review dataset with ratings and dates.

### ✨ Features

- **Full depth**: every review Airbnb shows for a listing, not just the first page (50 per request, as many pages as needed).
- **Four orders**: newest first, most relevant, highest rated or lowest rated, the same as on Airbnb.
- **Original and translated text**: `text` is the review as written, `translatedText` is Airbnb's English translation for reviews in other languages, and `language` is the review's language code.
- **Host responses**: the host's public reply and its date.
- **Reviewer details**: first name, user ID, profile link, avatar and how long they have been on Airbnb.
- **Bulk listings**: paste many listing links or IDs; each one gets its own limit.
- **No duplicates**: each review is saved and charged once per run.

### 🛠️ How It Works

1. **Paste Airbnb listing URLs or IDs**, one per line (any Airbnb country domain works).
2. **Choose the order and how many reviews per listing** (default 50; set it high to get them all).
3. **Run the scraper** and download the reviews, or pull them through the Apify API.

### ⚙️ Input

| Field | What it does |
| --- | --- |
| **Listing URLs or IDs** | Links like `https://www.airbnb.com/rooms/19130047` or the number alone. |
| **Sort by** | `newest`, `relevant`, `highest` or `lowest`. Default `newest`. |
| **Max reviews per listing** | Stop after this many reviews for each listing. Default 50. |

```json
{
    "listings": ["https://www.airbnb.com/rooms/19130047", "54337496"],
    "sortBy": "lowest",
    "maxItems": 1000
}
```

### 💰 Pricing

Pay only for the reviews you get. No monthly rental.

| Event | Price | What you get |
| --- | --- | --- |
| **Review** | $0.001 per review ($1.00 per 1,000) | One review with all fields below |
| **Actor start** | $0.00005 per run | Charged once when the run starts |

Examples: 50 reviews = $0.05 · all 353 reviews of a busy listing = $0.35 · 10,000 reviews = $10.00.

### 📊 Sample Output Data

```json
{
    "id": "225352239",
    "listingId": "19130047",
    "listingUrl": "https://www.airbnb.com/rooms/19130047",
    "rating": 4,
    "text": "Apartamento mejor de lo que nos esperábamos. Localizado en alfama. Los anfitriones han sido súper majos con nosotros y al vivir dos pisos por encima nuestro estaban siempre ahí cuando se les ha necesitado.",
    "language": "es",
    "translatedText": "Apartment better than we expected. Located in alfama. The hosts were super nice with us and living two floors above us were always there when needed.",
    "createdAt": "2018-01-06T13:30:12Z",
    "date": "January 2018",
    "stayDetails": "Stayed a few nights",
    "reviewerName": "Judii",
    "reviewerId": "133730204",
    "reviewerAvatar": "https://a0.muscache.com/im/pictures/user/1078a7f7-4f56-44b4-bd46-38529f2cc3bb.jpg",
    "reviewerProfileUrl": "https://www.airbnb.com/users/profile/1487012597140285965",
    "reviewerInfo": "9 years on Airbnb",
    "hostResponse": "Gracias Judii! Esperamos ve-los novamente :)",
    "hostResponseDate": "January 2018",
    "hostName": "Alessandra",
    "photos": [],
    "scrapedAt": "2026-10-22T07:23:19.546Z"
}
```

`createdAt` is the exact review timestamp; `date` is the month Airbnb displays. `translatedText` is `null` for reviews already in English. `stayDetails` is the stay summary Airbnb shows under some reviews ("Stayed a few nights", "Group trip").

### 🔁 Schedule and Integrate

To monitor new reviews, run it **once a week** with `sortBy: "newest"` and a small limit. Set it up in Apify **Schedules**, then push new reviews to **Google Sheets**, **Slack** via **Zapier**, **Make**, **n8n** or a webhook with Apify **integrations**.

### 🤖 Use with AI Agents (MCP)

This Actor works as a tool in Claude, ChatGPT, Cursor and other MCP clients through the Apify MCP server (`https://mcp.apify.com`). An agent can call it with:

```json
{ "listings": ["https://www.airbnb.com/rooms/19130047"], "sortBy": "newest", "maxItems": 30 }
```

### ❓ FAQ

**Does Airbnb have an official API for reviews?** Airbnb's API is limited to approved partners and their own listings. This Actor needs no key, account or approval and returns the public reviews anyone can read on a listing page.

**Can I get all reviews of a listing?** Yes. Set **Max reviews per listing** above the listing's review count and the scraper pages through all of them (for example all 353 reviews of the default listing).

**Why is `translatedText` empty?** Airbnb only translates reviews that are not in English. English reviews have `translatedText: null`.

**Do I need an Airbnb account?** No.

**What happens with a removed listing?** It is skipped, not charged, and named in the run's status message.

**How do I find listing URLs for a whole city?** Run the Airbnb Listings Scraper first and pass its `url` values here.

### 🔗 Related Scrapers

- [Airbnb Listings Scraper](https://apify.com/piotrv1001/airbnb-listings-scraper): all listings for a city or search link, with prices and ratings, to feed into this Actor.
- [Airbnb Rooms Scraper](https://apify.com/piotrv1001/airbnb-rooms-scraper): full listing details, ratings by category and host profile.
- [Airbnb Availability Calendar Scraper](https://apify.com/piotrv1001/airbnb-availability-calendar-scraper): booked and open nights for up to 12 months.
- [Booking Reviews Scraper](https://apify.com/piotrv1001/booking-reviews-scraper): guest reviews from Booking.com hotels and apartments.
- [TripAdvisor Reviews Scraper](https://apify.com/piotrv1001/tripadvisor-reviews-scraper): reviews of hotels, restaurants and attractions.

# Actor input Schema

## `listings` (type: `array`):

Airbnb listing links (https://www.airbnb.com/rooms/…) or numeric listing IDs, one per line. Any Airbnb country domain works.

## `sortBy` (type: `string`):

Which reviews come first.

## `maxItems` (type: `integer`):

Stop after this many reviews for each listing. Set it high to get every review.

## Actor input object example

```json
{
  "listings": [
    "https://www.airbnb.com/rooms/19130047"
  ],
  "sortBy": "newest",
  "maxItems": 50
}
```

# Actor output Schema

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

No description

# 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 = {
    "listings": [
        "https://www.airbnb.com/rooms/19130047"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/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 = {
    "listings": ["https://www.airbnb.com/rooms/19130047"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/airbnb-reviews-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "listings": [
    "https://www.airbnb.com/rooms/19130047"
  ],
  "maxItems": 50
}' |
apify call piotrv1001/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/airbnb-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/e2i2cEauPt12W9WOc/builds/UreG1WExp9s9ZhdbA/openapi.json