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

Scrape every review of any Airbnb listing: text, rating, date, language and English translation, reviewer, host response and photos. Newest or best first. No login, no browser.

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

## Pricing

$0.50 / 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

### What does Airbnb Reviews Scraper do?

**Airbnb Reviews Scraper** extracts **every review of any Airbnb listing**: the text, the star rating, the date, the language it was written in and **Airbnb's English translation**, the reviewer's name and profile, the **host's response** and its date, and the photos guests attached. Newest first, or in Airbnb's "most relevant" order. It calls the same API Airbnb's site uses: no login, no browser, no proxies, and 50 reviews per request — a listing with 500 reviews takes about ten seconds.

### Why use it?

- 🏠 **Hosts and property managers** — read what guests say about your listings and your competitors', and where the complaints cluster.
- 📊 **Sentiment and topic analysis** — hundreds of reviews per listing, with the original language and the translation, ready for an LLM or a dashboard.
- 🔎 **Due diligence** — before booking, buying or managing a property, see the full review history and how the host answers.
- 🗓️ **Track new reviews** — schedule it on your listings and diff by `reviewId`.

### Features

- ✅ **Whole history** — pages through every review, 50 at a time, until the last one.
- ✅ **Original and translation** — the text as written plus Airbnb's English translation when the review is in another language.
- ✅ **Host responses** — with the month they were written.
- ✅ **Reviewer profile** — name, profile link, photo, and what Airbnb shows under the name (location or years on Airbnb).
- ✅ **Any Airbnb domain** — paste links from airbnb.com, airbnb.co.uk, airbnb.fr… or bare listing ids.
- ✅ **Fair billing** — you pay per review. Removed listings and listings Airbnb refuses are reported in the run summary and **not charged**.

### How to scrape Airbnb reviews

1. Click **Try for free**.
2. Paste **listing links** or ids.
3. Optionally set **Max reviews per listing** and the **Order**.
4. Click **Start** and download the reviews as JSON, CSV or Excel. To follow new reviews, add a [schedule](https://docs.apify.com/platform/schedules).

### Input example

```json
{
    "listings": ["https://www.airbnb.com/rooms/14926879", "11337562"],
    "maxReviewsPerListing": 0,
    "sortBy": "MOST_RECENT"
}
```

### Output example

```json
{
    "listingId": "14926879",
    "listingUrl": "https://www.airbnb.com/rooms/14926879",
    "reviewId": "1768758907112887830",
    "createdAt": "2026-09-06T10:08:12Z",
    "rating": 5,
    "language": "it",
    "text": "Ottima sistemazione per una persona, posizione strategica, host sempre disponibili e reattivi!",
    "translatedText": "Great accommodation for one person, strategic location, hosts always available and responsive!",
    "reviewerName": "Stefania",
    "reviewerId": "1493169608106990272",
    "reviewerProfileUrl": "https://www.airbnb.com/users/profile/1493169608106990272",
    "reviewerPhoto": "https://a0.muscache.com/im/pictures/user/0c69accb-9727-4adc-8fc7-f5a9311338c6.jpg",
    "reviewerSubtitle": "10 years on Airbnb",
    "hostResponse": null,
    "hostRespondedAt": null,
    "photos": [],
    "scrapedAt": "2026-09-18T03:02:11.482Z"
}
```

### Output fields

| field | meaning |
|---|---|
| `listingId`, `listingUrl` | The listing the review belongs to. |
| `reviewId`, `createdAt` | Airbnb's id and the moment the review was written, UTC ISO 8601. |
| `rating` | 1–5 stars. |
| `language`, `text`, `translatedText` | The language code, the review as written, and Airbnb's English translation (`null` when the review is already in English). |
| `reviewerName`, `reviewerId`, `reviewerProfileUrl`, `reviewerPhoto`, `reviewerSubtitle` | The reviewer as Airbnb shows them: first name, profile, photo, and the line under the name. |
| `hostResponse`, `hostRespondedAt` | The host's public answer, and its month as Airbnb writes it ("August 2026"). |
| `photos` | Pictures the guest attached to the review. |
| `scrapedAt` | UTC ISO 8601. |

The run's **SUMMARY** record lists, per listing, its total number of reviews and how many were read, plus any listing that was removed or refused.

### Limits and tips

- The order **Newest first** is chronological; **Most relevant first** is Airbnb's own ranking and not stable between runs.
- Reviews are what Airbnb publishes: first names only, and no reviews hidden by Airbnb's policies.
- Dates in `hostRespondedAt` come as Airbnb writes them (a month and year), because that is all it publishes.

### Is it legal to scrape Airbnb reviews?

This Actor reads only what Airbnb shows publicly to anyone, without logging in: reviews are public content, and reviewers appear as Airbnb itself shows them (first name, public profile). Scraping public data is generally legal; still, make sure your use complies with Airbnb's terms and the privacy laws that apply to you — do not use reviewer data to identify or contact people. Read Apify's [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) guide.

### Your feedback

Missing something? Open an issue on the **Issues** tab: issues are answered, and the Actor is checked against the live site so it keeps working when Airbnb changes.

# Actor input Schema

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

Airbnb listing links (<code>https://www.airbnb.com/rooms/14926879</code>, any Airbnb domain) or bare listing ids.

## `maxReviewsPerListing` (type: `integer`):

Stop each listing after this many reviews. 0 means all of them.

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

Newest first, or Airbnb's "most relevant" order.

## Actor input object example

```json
{
  "listings": [
    "https://www.airbnb.com/rooms/14926879"
  ],
  "maxReviewsPerListing": 100,
  "sortBy": "MOST_RECENT"
}
```

# Actor output Schema

## `reviews` (type: `string`):

No description

## `summary` (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/14926879"
    ],
    "maxReviewsPerListing": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("steadyscrape/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/14926879"],
    "maxReviewsPerListing": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("steadyscrape/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/14926879"
  ],
  "maxReviewsPerListing": 100
}' |
apify call steadyscrape/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,steadyscrape/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/GOY3FqlVKzO4zGRWL/builds/Rk35BPmjw3ZCCrONB/openapi.json