# Airbnb Reviews Scraper — Every Review, Full Text (`nobin2k/airbnb-reviews`) Actor

Every review for any Airbnb listing with full text, star rating, date, language and reviewer — not just the first page.

- **URL**: https://apify.com/nobin2k/airbnb-reviews.md
- **Developed by:** [Trần Chính](https://apify.com/nobin2k) (community)
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 — Every Review, Full Text

Name a city, or pass listing URLs or IDs, and get back every review with its full text,
star rating, date, language and reviewer.

**Not just the first page.** Airbnb's own review feed hands back seven reviews
and stops unless you page it exactly right. This Actor walks the whole history:
a listing with 360 reviews gives you 360 rows, deduplicated by review ID.

Measured: 360 of 360 reviews for one listing in 8 seconds, 8 requests.

### Pairs with

- **Airbnb Scraper** — find listings in a city, feed the IDs in here
- **Airbnb Listing Detail** — amenities, category ratings and house rules for
  the same listings

### Output

One row per review:

```json
{
  "listing_id": "29754402",
  "review_id": "1768912442449654155",
  "rating": 5,
  "text": "Very clean. Great location. Responsive host!",
  "language": "en",
  "created_at": "2026-09-06T15:13:15Z",
  "date_label": "September 2026",
  "reviewer_name": "Marta",
  "reviewer_id": "2446180",
  "reviewer_photo": "https://a0.muscache.com/im/pictures/user/...",
  "reviewer_is_superhost": false,
  "host_name": "Isolda",
  "listing_url": "https://www.airbnb.com/rooms/29754402"
}
```

### Use it for

- **Sentiment analysis** — feed real guest text to an LLM and find what a
  property or a whole market gets complimented and criticised for
- **Competitive research** — read what guests say about the listings next door
- **Property management QA** — track review sentiment over time per property
- **Academic research** — a dated, language-tagged review corpus

### Two ways to use it

**Just name a city.** Leave *Airbnb listings* empty, type a location, and the
Actor finds the listings itself — nothing to look up first.

```json
{"location": "Lisbon, Portugal", "maxListings": 50}
```

**Or pass listings you already have.** Paste room URLs or IDs, for example the
`listing_id` column from **Airbnb Scraper**.

```json
{"listings": ["https://www.airbnb.com/rooms/29754402", "1427417218567220620"]}
```

### Input

```json
{
  "listings": [
    "https://www.airbnb.com/rooms/29754402",
    "1427417218567220620"
  ],
  "maxReviewsPerListing": 0
}
```

| Field | What it does |
|---|---|
| **Airbnb listings** | Room URLs or bare IDs, mixed formats fine |
| **Max reviews per listing** | `0` means every review |
| **Only this language** | e.g. `en` to keep English reviews only |

### Reliability

- Retries with exponential backoff on network errors
- Reviews are deduplicated by review ID, so a repeating page never inflates
  your bill
- A listing that returns nothing is reported; if every listing fails, the run
  fails loudly instead of handing you an empty dataset
- You are charged per validated review, never for dropped rows

### Pricing

Pay per review returned. No subscription.

### FAQ

**Why do some reviews have no rating?**
Airbnb does not expose a per-review star rating on every listing. The field is
null rather than guessed.

**Can I get reviews in one language only?**
Yes — set *Only this language* to a two-letter code. Reviews carry the language
they were written in.

**Does it include reviewer personal data?**
Only what Airbnb shows publicly on the listing page: display name and profile
photo. No emails, no phone numbers, no private profile data. If you process this
for EU residents, GDPR applies to you as the controller.

# Actor input Schema

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

Optional. Airbnb room URLs or listing IDs. Leave this empty to search by location instead — anything here takes priority over the location below.

## `location` (type: `string`):

City, region or country — for example 'Lisbon, Portugal' or 'Austin, Texas'. Used when the listings field above is empty.

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

How many listings to collect reviews from when searching by location.

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

0 means every review the listing has.

## `onlyLanguage` (type: `string`):

Two-letter code such as en, fr, de. Leave empty to keep every language.

## `language` (type: `string`):

Locale used when requesting reviews.

## `proxyUrl` (type: `string`):

Optional. Only needed for very large batches.

## Actor input object example

```json
{
  "location": "Lisbon, Portugal",
  "maxListings": 20,
  "maxReviewsPerListing": 0,
  "language": "en"
}
```

# Actor output Schema

## `results` (type: `string`):

Every review with full text, rating, date, language and reviewer.

## `csv` (type: `string`):

The same rows as a spreadsheet-ready CSV download.

## `consoleUrl` (type: `string`):

Browse and filter the results in the Console.

# 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 = {
    "location": "Lisbon, Portugal"
};

// Run the Actor and wait for it to finish
const run = await client.actor("nobin2k/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 = { "location": "Lisbon, Portugal" }

# Run the Actor and wait for it to finish
run = client.actor("nobin2k/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 '{
  "location": "Lisbon, Portugal"
}' |
apify call nobin2k/airbnb-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nobin2k/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/WQAcIndFoei5QUmhN/builds/UY3aggGwYBTXO4qWT/openapi.json