# Airbnb Reviews Scraper $0.6/1K 🔥 Rooms, Hosts & Experiences (`azzouzana/airbnb-reviews-scraper`) Actor

Fast - From $0.6/1K 💰 Extract Airbnb rooms, services, experiences, or hosts guest reviews at scale with ratings, text, photos, host replies & much more! Advanced filtering. Export JSON, CSV, Excel, or API. 🚀

- **URL**: https://apify.com/azzouzana/airbnb-reviews-scraper.md
- **Developed by:** [Azzouzana](https://apify.com/azzouzana) (community)
- **Categories:** Lead generation, Travel
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Extract guest reviews from Airbnb rooms, services, experiences, or host portfolios in seconds. Perfect for reputation monitoring, competitor research, sentiment analysis, and due diligence.

***

### Engineering Excellence & Reliability 🚀

- **One URL, any target** - paste a room, service, experience, or host profile URL and the actor figures out the rest.
- **Reviews beyond the page limit** - we bypass the website limitation and go beyond it. Duplicates are skipped.
- **Built-in filters** - server-side keyword search, rating range, date-from (early stop), and host-response status.
- **Clean exports** - download results as JSON, CSV, Excel, or pull them via the Apify API.

***

### 🛠️ How to Play

| Input | Required | Default | Description |
| :--- | :---: | :---: | :--- |
| `target` | yes | - | Airbnb `/rooms/`, `/services/`, `/experiences/`, or `/users/show/` URL from your browser. |
| `maxReviews` | no | `50` | Maximum reviews to scrape per room, service, experience, or host. Free users are capped at 5 per run. |
| `outputLanguage` | no | from URL | Language for translations and localized dates (`en`, `fr`, `de`…). Sent as Airbnb `locale`. Empty = follow the target domain (`airbnb.fr` → French). |
| `sorting` | no | `"BEST_QUALITY"` | `"BEST_QUALITY"`, `"MOST_RECENT"`, `"RATING_ASC"`, `"RATING_DESC"`. |
| `keyword` | no | - | Server-side search on the **original** review text (not the translation). |
| `minRating` | no | `1` | Lowest rating to keep (1–5). |
| `maxRating` | no | `5` | Highest rating to keep (1–5). Set to 2–3 to isolate complaints. |
| `dateFrom` | no | - | `YYYY-MM-DD`. With `MOST_RECENT`, paging stops at the first older review. |
| `responseFilter` | no | `"ALL"` | `"ALL"`, `"WITH_HOST_RESPONSE"`, or `"WITHOUT_HOST_RESPONSE"`. |

#### Quick start - room reviews

```json
{
  "target": "https://www.airbnb.com/rooms/1659276604029181120",
  "maxReviews": 50
}
```

#### Negative reviews only

```json
{
  "target": "https://www.airbnb.com/rooms/1659276604029181120",
  "maxReviews": 50,
  "maxRating": 3,
  "sorting": "RATING_ASC"
}
```

#### French translations from a .com room

```json
{
  "target": "https://www.airbnb.com/rooms/1659276604029181120",
  "maxReviews": 50,
  "outputLanguage": "fr"
}
```

#### Service reviews (e.g. Photography, Cleaning, Chef)

```json
{
  "target": "https://www.airbnb.com/services/3759100",
  "maxReviews": 50
}
```

#### Host portfolio audit

```json
{
  "target": "https://www.airbnb.com/users/show/137253240",
  "maxReviews": 50
}
```

***

### 🆓 Free tier limitations

Free users can scrape **5 reviews** per run, with **5 runs** per day and at least **60 seconds** between runs. Upgrade to remove the cap: https://apify.com/pricing?fpr=cbgdsf

***

### 📦 What's in the Box?

Each dataset row is a flat, deterministic 38-key review record that exports cleanly to CSV, Excel, or SQL.

#### room review

```json
{
  "review_id": "1797913817689138100",
  "target_type": "place",
  "target_id": "1659276604029181120",
  "target_url": "https://www.airbnb.com/rooms/1659276604029181120",
  "listing_id": "1659276604029181120",
  "listing_url": "https://www.airbnb.com/rooms/1659276604029181120",
  "listing_title": "Wake up to the ocean Velamar",
  "rating_overall": 5,
  "comment_text": "Muy bonito, me encanto sin duda volveria. La vista al mar es espectacular.",
  "comment_language": "es",
  "comment_translated": "Very nice, I loved it without a doubt I would return. The ocean view is spectacular.",
  "comment_is_translated": true,
  "created_at": "2026-10-16T15:33:48Z",
  "localized_date": "1 day ago",
  "reviewer_id": "740309220",
  "reviewer_name": "Leilany",
  "reviewer_location": "Monterrey, Mexico",
  "reviewer_is_superhost": false,
  "reviewer_avatar_url": "https://a0.muscache.com/im/Portrait/Avatars/v2/purple?im_w=240",
  "stay_highlight": "Stayed a few nights",
  "stay_highlight_type": "LENGTH_OF_STAY",
  "host_id": "137253240",
  "host_name": "Yesenia",
  "host_is_superhost": true,
  "host_avatar_url": "https://a0.muscache.com/im/pictures/user/User/original/3be46f85.jpeg",
  "host_profile_url": "https://www.airbnb.com/users/show/137253240",
  "host_response_text": "Muchas gracias Leilany, fue un placer recibirte!",
  "host_response_date": "October 2026",
  "host_has_response": true,
  "photos": [],
  "rating_cleanliness": 5.0,
  "rating_accuracy": 4.9,
  "rating_checkin": 5.0,
  "rating_communication": 5.0,
  "rating_location": 4.8,
  "rating_value": 4.9,
  "scraped_at": "2026-10-18T13:48:00.000Z"
}
```

***

### Contact 📬

**Need a custom solution? Have a feature request or just want to chat?**
We'd love to hear from you!

- 💬 **Discord**: `@azzouzana`
- 📧 **Email**: <labs@azzouzana.com>

***

### ⚠️ Disclaimer

This actor is **not affiliated with Airbnb, Inc.** It collects only publicly visible review data and does not access content behind login or private accounts. Always comply with Airbnb's terms of service and applicable laws (including GDPR when handling personal data). When in doubt, consult your legal advisor.

Read more about the legality of web scraping in the [Apify blog](https://blog.apify.com/is-web-scraping-legal?fpr=cbgdsf).

***

### Keywords

airbnb, airbnb reviews, airbnb services, airbnb scraper, reviews scraper, sentiment analysis, vacation rental, travel, hospitality, guest reviews, host reviews, competitor research, reputation monitoring

# Actor input Schema

## `target` (type: `string`):

Paste an Airbnb listing, service, experience, or host profile URL

## `maxReviews` (type: `integer`):

Maximum reviews to scrape per target (Room, Service, Experience or Host)

## `outputLanguage` (type: `string`):

Language for Airbnb translations and localized dates. Leave empty to follow the target URL (airbnb.fr → French, airbnb.co.uk → English UK).

## `sorting` (type: `string`):

Order Airbnb returns reviews. Use Most recent with Date from to stop paging early. Use Lowest rating first with Max rating to collect complaints faster.

## `keyword` (type: `string`):

Search on the original review text (not the translation). Example: wifi, noise, clean.

## `minRating` (type: `integer`):

Minimum review rating to include (1 to 5).

## `maxRating` (type: `integer`):

Maximum review rating to include (1 to 5). Set to 2 or 3 to extract complaints. Pair with Lowest rating first.

## `dateFrom` (type: `string`):

Keep reviews on or after this date (YYYY-MM-DD). With Most recent sorting, paging stops at the first older review.

## `responseFilter` (type: `string`):

Filter reviews by whether the host responded to them.

## Actor input object example

```json
{
  "target": "https://www.airbnb.com/rooms/1659276604029181120",
  "maxReviews": 500,
  "sorting": "BEST_QUALITY",
  "minRating": 1,
  "maxRating": 5,
  "responseFilter": "ALL"
}
```

# 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 = {
    "target": "https://www.airbnb.com/rooms/1659276604029181120",
    "maxReviews": 500
};

// Run the Actor and wait for it to finish
const run = await client.actor("azzouzana/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 = {
    "target": "https://www.airbnb.com/rooms/1659276604029181120",
    "maxReviews": 500,
}

# Run the Actor and wait for it to finish
run = client.actor("azzouzana/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 '{
  "target": "https://www.airbnb.com/rooms/1659276604029181120",
  "maxReviews": 500
}' |
apify call azzouzana/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,azzouzana/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/ZvQgN5Imsb5VUuARZ/builds/DBIbDLuK8t5EojsUa/openapi.json