# Airbnb Reviews Scraper — Ratings, Comments & Replies (`vero-api/airbnb-reviews-scraper`) Actor

Get every guest review from any Airbnb listing: ratings, comments (original and translated), dates, reviewer profiles, host replies, and review photos. Paste listing URLs or IDs and export to JSON, CSV, or Excel.

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

## Pricing

from $2.00 / 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/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 Reviews Scraper — Ratings, Comments & Replies

Get every guest review from any Airbnb listing as clean, structured data — ratings, comments, dates, reviewer profiles, host replies, and review photos. Paste a few links, click Start, and download your reviews in seconds.

### What you can do

- Pull thousands of reviews from one or many listings in a single run.
- Get the original review **and** its translation into your chosen language.
- Capture each reviewer's profile, the host's public reply, and any review photos.
- Sort by most recent, most relevant, highest, or lowest rated.
- Export everything to JSON, CSV, or Excel.

### How to use it

1. Add your Airbnb listings — paste listing links (e.g. `https://www.airbnb.com/rooms/44370718`) or just the numeric IDs. One per line.
2. Pick a sort order and how many reviews you want per listing (use `0` for all).
3. Click **Start**.
4. Download your results as JSON, CSV, or Excel.

### What you get

One row per review:

| Field | What it is |
|---|---|
| `rating` | Star rating the guest gave (1–5) |
| `comments` | The review, in the language it was written |
| `localizedComments` | The review translated into your chosen language |
| `createdAt` / `localizedDate` | When the review was posted |
| `reviewer` | Reviewer name, ID, photo, and profile link |
| `response` / `respondedDate` | The host's public reply, when there is one |
| `photos` | Photos the guest attached to the review |
| `listingId` / `listingUrl` | The listing the review belongs to |

#### Example

```json
{
  "listingId": "44370718",
  "listingUrl": "https://www.airbnb.com/rooms/44370718",
  "id": "1645617261245597089",
  "rating": 5,
  "createdAt": "2026-03-20T12:27:44Z",
  "localizedDate": "March 2026",
  "comments": "Amazing stay! The view over Istanbul is unreal and the host was incredibly helpful.",
  "localizedComments": "Amazing stay! The view over Istanbul is unreal and the host was incredibly helpful.",
  "language": "en",
  "reviewerSubtitle": "Baku, Azerbaijan",
  "reviewer": {
    "id": "205076788",
    "firstName": "Nemat",
    "pictureUrl": "https://a0.muscache.com/im/pictures/user/original/9bcec093.jpeg",
    "profilePath": "/users/profile/1475437034935008860",
    "profileUrl": "https://www.airbnb.com/users/profile/1475437034935008860"
  },
  "response": "Thank you so much for the kind words — you're welcome back any time!",
  "respondedDate": "May 2026",
  "photos": []
}
```

### Why scrape Airbnb reviews?

- **Reputation tracking** — see what guests say about your listings or your competitors' over time.
- **Market research** — mine sentiment across many properties in an area.
- **Host benchmarking** — compare ratings, reply rates, and common praise or complaints.
- **Analysis & dashboards** — feed clean review data into spreadsheets, BI tools, or your own models.

### Pricing

You pay only for the reviews you get — no subscriptions, no surprises. Set **Maximum reviews per listing** to control your spend.

### FAQ

**Can I scrape several listings at once?** Yes. Add as many listing URLs or IDs as you like and they're processed one after another.

**Can I get all reviews for a listing?** Yes — set **Maximum reviews per listing** to `0` to fetch every available review.

**Do I need an account or API key?** No. Just add your listings and click Start.

# Actor input Schema

## `listingUrls` (type: `array`):

The Airbnb listings to get reviews from. Paste full links (e.g. https://www.airbnb.com/rooms/44370718) or just the numeric IDs (e.g. 44370718) — one per line. Add as many as you like.

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

How many reviews you want from each listing. Use 0 to get them all.

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

Which reviews come first. With a maximum set, this decides which ones you get.

## `locale` (type: `string`):

Language for the translated review text. The original comments are always returned in the language the guest wrote them.

## `currency` (type: `string`):

Currency sent with the request. Has no effect on review content.

## Actor input object example

```json
{
  "listingUrls": [
    "https://www.airbnb.com/rooms/44370718"
  ],
  "maxReviews": 100,
  "sortBy": "MOST_RECENT",
  "locale": "en",
  "currency": "USD"
}
```

# 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 = {
    "listingUrls": [
        "https://www.airbnb.com/rooms/44370718"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("vero-api/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 = { "listingUrls": ["https://www.airbnb.com/rooms/44370718"] }

# Run the Actor and wait for it to finish
run = client.actor("vero-api/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 '{
  "listingUrls": [
    "https://www.airbnb.com/rooms/44370718"
  ]
}' |
apify call vero-api/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bwA13jEsii9dhbUGI/builds/xPGOwgO5cFHPGpPJ6/openapi.json