# Airbnb Reviews Scraper: Text, Ratings, Host Replies (`thelastscraper/airbnb-reviews`) Actor

Scrape Airbnb guest reviews from listing URLs or IDs: text, original language and English translation, date, stars, stay type and host response. Filter by date and language, sort by rating. $0.50 per 1,000 reviews.

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

## Pricing

from $0.25 / 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

Scrape **guest reviews** of Airbnb listings from their URLs or IDs: the text, the original
language and Airbnb's English translation, the date, the stars, the type of stay and the host's
response. **$0.50 per 1,000 reviews** on the Free plan ($0.25 on Gold).

- **Only what you need:** reviews since a date (older pages are not even read), only some
  languages, highest or lowest rated first, and a cap per listing.
- **Original and translation:** `text` (English when Airbnb translates it), `text_original`,
  `language` and `is_translated`.
- **Privacy switch:** "Omit personal data" nulls reviewer names, photos and profile links (the
  numeric reviewer id, the location label and the review text stay as written).

### How to use it

```json
{
  "where": ["https://www.airbnb.com/rooms/23491570", "614178316141803089"],
  "maxReviewsPerListing": 100,
  "sort": "most_recent",
  "sinceDate": "2026-01-01",
  "reviewLanguages": ["en", "es"]
}
```

Most recent first is how Airbnb serves reviews; highest or lowest rated reads all of a listing's
reviews (or all since the date) and sorts them, so it takes longer on listings with many reviews.

### What you get

One row per review: `review_id`, `listing_id`, `created_at`, `rating`, `language`, `text`,
`text_original`, `is_translated`, reviewer (name, location, tenure; names and photos null with
"Omit personal data"), `stay_context` ("Stayed a few nights"), `host_response` (the host's
reply, null when there is none) and `highlight`.

### Price

Pay-per-event prices per 1,000 events, by Apify plan:

| Event | Free | Bronze | Silver | Gold |
|---|---|---|---|---|
| `review`: per review delivered | $0.50 | $0.40 | $0.30 | $0.25 |

Only delivered reviews are charged: reviews filtered out by date or language are free, and so is
a listing that fails.

### Related Actors

- [Airbnb Scraper](https://apify.com/thelastscraper/airbnb-scraper): listings of a whole area with
  prices, details, calendar and reviews in one run.
- [Airbnb Calendar & Occupancy](https://apify.com/thelastscraper/airbnb-calendar-occupancy):
  availability, occupancy rate and revenue estimates.
- [Airbnb Listing Details Scraper](https://apify.com/thelastscraper/airbnb-listing-details): full
  listing data and price by URL.

Public data only, no login. Reviews and names can be personal data under GDPR: collect them with
a legitimate purpose. Not affiliated with Airbnb.

# Actor input Schema

## `actorVariant` (type: `string`):

Internal: which Store Actor this is (do not change).

## `where` (type: `array`):

One per line: a listing URL (https://www.airbnb.com/rooms/123, any Airbnb domain) or a listing ID.

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

0 = all reviews. Each review is charged, so a cap keeps the cost of listings with hundreds of reviews predictable.

## `sort` (type: `string`):

Most recent first is how Airbnb serves reviews. Highest or lowest rated reads all of a listing's reviews (or all since the date below) and sorts them, so it takes longer on listings with many reviews.

## `sinceDate` (type: `string`):

YYYY-MM-DD. Only reviews written on or after this date; the Actor stops reading older pages, so it is faster and cheaper. Empty = no date limit.

## `reviewLanguages` (type: `array`):

2-letter codes of the review's original language, e.g. en, es, fr, ar. Empty = all languages. Every review keeps its original text and, when Airbnb provides it, the English translation.

## `omitPersonalData` (type: `boolean`):

Set reviewer names, photos and profile links to null (GDPR-friendly). What stays: the numeric reviewer id, the reviewer's location label, date, rating, language, and the review and host-response text as written (free text can still contain names).

## `maxListings` (type: `integer`):

Stop after this many listings. 0 = all the listings you gave.

## `proxyStrategy` (type: `string`):

Auto (recommended): starts with Apify datacenter proxies and switches to residential proxies only if Airbnb starts blocking (2 blocks in the last 50 requests: a request blocked on 2 datacenter IPs makes its third attempt through residential); after 300 clean requests on residential it tries datacenter once more. If residential proxies are not available to the run, it slows down instead. Datacenter / Residential: always that kind. Proxy traffic is not billed to you separately: the event prices include it. The log, the status message and the OUTPUT record show requests, blocks and estimated traffic per proxy level.

## `proxyCountry` (type: `string`):

Optional 2-letter country code (e.g. US, AE) for residential proxies. Empty = any country.

## `maxConcurrency` (type: `integer`):

Listings scraped at the same time, each through its own Apify Proxy IP with its own pause (a listing's price quote, policies and calendar are requested together with its page, as a browser loads it). 20 to 32; the default, 32, scrapes about 5 listings a second with the default 4 GB of memory. The minimum keeps a run's duration, which the event prices include, bounded. With your own proxy URLs or without a proxy (one IP), the pause is shared and more parallel listings are not faster.

## `delaySeconds` (type: `integer`):

Minimum seconds between two requests from the same IP (plus up to 1 s of random jitter); a listing's quote, policies and calendar go out with its page. 1 (the default, the fastest) or 2. If Airbnb blocks, the Actor slows down and changes proxies by itself.

## `maxRequests` (type: `integer`):

Hard cap on requests to airbnb.com for the whole run (retries included). 0 = no cap.

## Actor input object example

```json
{
  "actorVariant": "reviews",
  "where": [
    "https://www.airbnb.com/rooms/23491570"
  ],
  "maxReviewsPerListing": 20,
  "sort": "most_recent",
  "omitPersonalData": false,
  "maxListings": 0,
  "proxyStrategy": "auto",
  "maxConcurrency": 32,
  "delaySeconds": 1,
  "maxRequests": 0
}
```

# Actor output Schema

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

One row per review.

## `summary` (type: `string`):

OUTPUT record: what was scraped, charged events, proxy levels and why the run stopped.

# 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 = {
    "where": [
        "https://www.airbnb.com/rooms/23491570"
    ],
    "maxReviewsPerListing": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thelastscraper/airbnb-reviews").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 = {
    "where": ["https://www.airbnb.com/rooms/23491570"],
    "maxReviewsPerListing": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thelastscraper/airbnb-reviews").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 '{
  "where": [
    "https://www.airbnb.com/rooms/23491570"
  ],
  "maxReviewsPerListing": 20
}' |
apify call thelastscraper/airbnb-reviews --silent --output-dataset

```

## MCP server setup

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

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/FRiIkTAcR1rXX0K4Z/builds/xXTxm8fwLnNsDYIdS/openapi.json