# ⚡ Airbnb Reviews Scraper (`veeronica/airbnb-listing-reviews-scraper`) Actor
Scrape every guest review from any Airbnb listing: ratings, comments, dates, reviewer profiles, host replies, and review photos. Paste listing URLs or IDs, pick a sort order, and export clean records as a clean JSON — no login or API key needed.
- **URL**: https://apify.com/veeronica/airbnb-listing-reviews-scraper.md
- **Developed by:** [Veronica](https://apify.com/veeronica) (community)
- **Categories:** Travel, Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 25.0% 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
Airbnb Reviews Scraper **extracts every guest review from any Airbnb listing** — star rating, review text (original *and* translated), dates, reviewer profile, the host's public reply, and review photos — and downloads them as **JSON, CSV, Excel, or XML**. It runs in the cloud, needs no coding, and **no login or API key**.
Paste one or more listing links (or just their IDs), choose how to sort and how many reviews you want, click **Start**, and watch the dataset fill with one clean row per review.
### What data does it extract?
Each result is **one guest review**:
| Data | Details |
|---|---|
| ⭐ **Rating** | the star rating the guest gave (1–5) |
| 📝 **Review text** | the original `comments`, plus `localizedComments` translated into your chosen language |
| 📅 **Dates** | exact `createdAt` timestamp and the human-readable `localizedDate` shown on Airbnb |
| 👤 **Reviewer** | nested `reviewer` object: first name, ID, profile picture, and profile URL |
| 📍 **Location** | the reviewer's location/label as shown on Airbnb |
| 💬 **Host reply** | the host's public `response`, when they replied |
| 🖼️ **Photos** | URLs of any photos the guest attached to the review |
| 🏷️ **Highlight** | the short highlight label Airbnb attaches to some reviews |
### How do I scrape Airbnb reviews?
1. **Add listings** — paste Airbnb listing links (e.g. `https://www.airbnb.com/rooms/44370718`) or just the numeric IDs into *Listing URLs or IDs*. Add as many as you like.
2. **Pick a sort order** — *Most recent*, *Most relevant*, *Highest rated*, or *Lowest rated*.
3. **Set how many** — choose *Maximum reviews per listing*, or use `0` to fetch them all.
4. **Choose a language** *(optional)* — controls the translated `localizedComments` text.
5. **Click Start** — then download the results from the **Storage** tab in any format, or send them anywhere with integrations.
### Input example
```json
{
"listingUrls": [
"https://www.airbnb.com/rooms/44370718",
"20669368"
],
"sortBy": "MOST_RECENT",
"maxReviews": 100,
"language": "en",
"currency": "USD"
}
````
### Output 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",
"reviewHighlight": "Stayed a few nights",
"reviewerLocation": "Baku, Azerbaijan",
"reviewer": {
"id": "205076788",
"firstName": "Nemat",
"pictureUrl": "https://a0.muscache.com/im/pictures/user/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": []
}
```
### Input reference
| Field | Type | Description |
|---|---|---|
| `listingUrls` | array | Airbnb listing links or numeric IDs, one per entry. |
| `startUrls` | array | Optional. The same listing links provided in bulk or from a file / Google Sheet. |
| `sortBy` | string | `MOST_RECENT`, `BEST_QUALITY` (most relevant), `RATING_DESC` (highest rated), or `RATING_ASC` (lowest rated). Default `MOST_RECENT`. |
| `maxReviews` | integer | Reviews to fetch per listing. `0` = all available. Default `100`. |
| `language` | string | 2-letter language code for the API and the translated `localizedComments`. Default `en`. |
| `currency` | string | Currency code sent with the request. No effect on review content. Default `USD`. |
### Field reference
| Field | Description |
|---|---|
| `listingId` / `listingUrl` | The listing each review belongs to. |
| `id` | Unique review ID. |
| `rating` | Star rating, 1–5. |
| `createdAt` | ISO 8601 timestamp of when the review was posted. |
| `localizedDate` | Human-readable date as shown on Airbnb. |
| `comments` | Original review text, in the language the guest wrote it. |
| `localizedComments` | Review text translated into your chosen language (`null` if no translation). |
| `language` | Language the review was originally written in. |
| `reviewHighlight` | Short highlight label Airbnb attaches to the review, when present. |
| `reviewerLocation` | Reviewer's location/label as shown on Airbnb. |
| `reviewer` | Nested object: `id`, `firstName`, `pictureUrl`, `profilePath`, `profileUrl`. |
| `response` | Host's public reply (`null` when the host did not respond). |
| `respondedDate` | Human-readable date of the host's reply, when present. |
| `photos` | URLs of photos attached to the review. |
### Why scrape Airbnb reviews?
- **Reputation monitoring** — track what guests say about your own or competing listings over time.
- **Market & location research** — mine sentiment across many properties in an area.
- **Host benchmarking** — compare ratings, response rates, and common praise or complaints.
- **Analysis & dashboards** — feed clean review data into spreadsheets, BI tools, or your own models.
### Pricing
This Actor uses **pay-per-event** pricing: a small fee when a run starts, plus a fee per review delivered. You only pay for the reviews you actually receive — set *Maximum reviews per listing* to control your spend.
# Actor input Schema
## `listingUrls` (type: `array`):
Airbnb listings to scrape reviews from. Paste full listing links (e.g. https://www.airbnb.com/rooms/44370718) or just the numeric listing IDs (e.g. 44370718). One entry per listing.
## `startUrls` (type: `array`):
Optional. Provide Airbnb listing links in bulk or from a file/Google Sheet. Each link is treated the same as an entry in Listing URLs or IDs.
## `sortBy` (type: `string`):
Order in which reviews are fetched. With a Maximum reviews per listing limit set, this controls which reviews you get first.
## `maxReviews` (type: `integer`):
How many reviews to fetch for each listing. Use 0 for all available reviews.
## `language` (type: `string`):
Language for the API and for the translated review text (localizedComments), e.g. en, fr, de, es. The original comments are always returned in the language they were written in.
## `currency` (type: `string`):
Currency code sent with the API request, e.g. USD, EUR, GBP. Has no effect on review content; kept for completeness.
## Actor input object example
```json
{
"listingUrls": [
"https://www.airbnb.com/rooms/44370718"
],
"sortBy": "MOST_RECENT",
"maxReviews": 100,
"language": "en",
"currency": "USD"
}
```
# Actor output Schema
## `reviews` (type: `string`):
One row per guest review.
# 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 '' with your token
const client = new ApifyClient({
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("veeronica/airbnb-listing-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 '' with your token.
client = ApifyClient("")
# 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("veeronica/airbnb-listing-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 veeronica/airbnb-listing-reviews-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=veeronica/airbnb-listing-reviews-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "⚡ Airbnb Reviews Scraper",
"description": "Scrape every guest review from any Airbnb listing: ratings, comments, dates, reviewer profiles, host replies, and review photos. Paste listing URLs or IDs, pick a sort order, and export clean records as a clean JSON — no login or API key needed.",
"version": "1.0",
"x-build-id": "uyzuOJglE9TV1mESi"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/veeronica~airbnb-listing-reviews-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-veeronica-airbnb-listing-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/veeronica~airbnb-listing-reviews-scraper/runs": {
"post": {
"operationId": "runs-sync-veeronica-airbnb-listing-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/veeronica~airbnb-listing-reviews-scraper/run-sync": {
"post": {
"operationId": "run-sync-veeronica-airbnb-listing-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"listingUrls": {
"title": "Listing URLs or IDs",
"type": "array",
"description": "Airbnb listings to scrape reviews from. Paste full listing links (e.g. https://www.airbnb.com/rooms/44370718) or just the numeric listing IDs (e.g. 44370718). One entry per listing.",
"items": {
"type": "string"
}
},
"startUrls": {
"title": "Start URLs (file / bulk)",
"type": "array",
"description": "Optional. Provide Airbnb listing links in bulk or from a file/Google Sheet. Each link is treated the same as an entry in Listing URLs or IDs.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"sortBy": {
"title": "Sort reviews by",
"enum": [
"MOST_RECENT",
"BEST_QUALITY",
"RATING_DESC",
"RATING_ASC"
],
"type": "string",
"description": "Order in which reviews are fetched. With a Maximum reviews per listing limit set, this controls which reviews you get first.",
"default": "MOST_RECENT"
},
"maxReviews": {
"title": "Maximum reviews per listing",
"minimum": 0,
"type": "integer",
"description": "How many reviews to fetch for each listing. Use 0 for all available reviews.",
"default": 100
},
"language": {
"title": "Language",
"type": "string",
"description": "Language for the API and for the translated review text (localizedComments), e.g. en, fr, de, es. The original comments are always returned in the language they were written in.",
"default": "en"
},
"currency": {
"title": "Currency",
"type": "string",
"description": "Currency code sent with the API request, e.g. USD, EUR, GBP. Has no effect on review content; kept for completeness.",
"default": "USD"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```