# Airbnb Reviews — vacation rental review data (`blackfalcondata/airbnb-reviews-scraper`) Actor

Scrape airbnb.com reviews for any listing URL or a whole city. Get flat rows covering guest feedback and ratings, reviewer context, listing links and host replies. Control review order and per-listing volume for downstream research and sentiment workflows.

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

## Pricing

from $1.10 / 1,000 reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What does Airbnb Reviews do?

Airbnb Reviews Scraper extracts guest reviews from airbnb.com as flat, structured JSON rows — review text, star rating, date, reviewer name and location, language, and the host's public reply. Paste one or more Airbnb room URLs to scrape a listing's reviews, or enter cities to discover listings and pull reviews for each. Every row is tagged with its listing id so reviews are easy to join, group, and feed into sentiment analysis.

### How to use this actor

- 👉 **Register for a free Apify account** — no credit card required.
- 🎉 Just click **[Sign up free on Apify →](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctarich)** and complete a quick signup.
- 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
- ⏳ Scrape during the free trial, with no commitment or upfront payment required.

### Key features

- **💬 Reviews for one listing or a whole city** — scrape reviews for a single Airbnb listing or for every listing across a city in one run. Each review comes back as a flat row — review text, star rating, date, reviewer name and location, language, the host's public reply when present, and the listing id it belongs to. Cap reviews per listing and choose the order: most relevant or most recent.
- **🔗 Paste room URLs** — copy an Airbnb room URL straight from your browser (…/rooms/12345678) and paste it — the scraper pulls that listing's reviews. Paste many at once, or paste a search URL to read the location from it and review every listing found.
- **🧱 Flat, ready-to-analyze rows** — reviews are emitted as clean, flat JSON rows — one record per review — so they drop straight into a spreadsheet, database, or sentiment-analysis pipeline without reshaping nested data.
- **🧹 Empty-field stripping** — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
- **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

### What data can you extract from Airbnb?

Each result includes Core review fields (`listingId`, `reviewId`, `text`, `rating`, `language`, `createdAt`, `localizedDate`, and `reviewerName`, and more). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

### Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`startUrls`** — Paste Airbnb room URLs (e.g. https://www.airbnb.com/rooms/12345678). Reviews are scraped for each. Search-result URLs also work — their location is read from the URL.
- **`searchLocations`** — One or more places: a city, a neighborhood, or "City, ST" (e.g. "New York, NY"). Each is searched to discover listings, then reviews are scraped for each listing found. Leave empty if you only use Listing URLs.
- **`reviewsMaxPerListing`** — Cap the number of reviews fetched per listing (0 = all available). (default: `10`)
- **`reviewSort`** — How to order reviews. (default: `"best"`)
- **`maxResults`** — Maximum reviews to return (0 = no limit). When discovering by location, also bounds how many listings are scanned. (default: `100`)
- **`maxQueries`** — Optional hard ceiling on how much work location discovery does. Leave empty for the default. Lower it to cap cost on very dense areas.
- **`priceMin`** — When discovering by location, only pull reviews for listings at or above this nightly price.
- **`priceMax`** — When discovering by location, only pull reviews for listings at or below this nightly price.
- **`roomTypes`** — When discovering by location, restrict to one or more room types. Leave empty for all. (default: `[]`)
- **`excludeEmptyFields`** — Drop null / empty-string fields from each review record. (default: `false`)
- **`telegramToken`** — Telegram bot token (from @BotFather). Required for Telegram notifications.
- **`telegramChatId`** — Telegram chat or channel ID where alerts are sent.
- ...and 12 more parameters

### Input examples

**Reviews for a listing** — Paste an Airbnb room URL (…/rooms/12345678) to scrape its reviews.

→ Flat review rows — text, rating, date, reviewer, language, and the host's public reply.

```json
{
  "startUrls": [
    "https://www.airbnb.com/rooms/12345678"
  ],
  "reviewsMaxPerListing": 100
}
```

**Reviews across a city** — Enter one or more locations to discover listings and pull reviews for each.

→ Review rows for every listing found, each tagged with its listing id.

```json
{
  "searchLocations": [
    "New York, NY"
  ],
  "reviewsMaxPerListing": 20,
  "maxResults": 1000
}
```

**Most recent reviews only** — Order reviews most-recent-first to track guest sentiment over time.

→ The latest reviews for the listing, newest first.

```json
{
  "startUrls": [
    "https://www.airbnb.com/rooms/12345678"
  ],
  "reviewSort": "recent",
  "reviewsMaxPerListing": 50
}
```

**Reviews for entire homes in a city** — Filter discovery by room type when pulling reviews across a location.

→ Review rows for entire-home listings in the city.

```json
{
  "searchLocations": [
    "Austin, TX"
  ],
  "roomTypes": [
    "Entire home/apt"
  ],
  "compact": true,
  "reviewsMaxPerListing": 20,
  "maxResults": 1000
}
```

### Output

Each run produces a dataset of structured review records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example review record

```json
{
  "listingId": "12345678",
  "reviewId": "987654321012345678",
  "text": "Amazing stay! The apartment was spotless, exactly as pictured, and in a perfect location a short walk from the subway. The host was responsive and check-in was effortless. Would absolutely book again.",
  "rating": 5,
  "language": "en",
  "createdAt": "2026-05-18T00:00:00.000Z",
  "localizedDate": "May 2026",
  "reviewerName": "Sarah",
  "reviewerId": "44556677",
  "reviewerLocation": "Chicago, Illinois",
  "hostResponse": "Thank you so much, Sarah — you were wonderful guests and welcome back any time!",
  "highlight": "Guest favorite"
}
```

### How to scrape Airbnb

1. Go to [Airbnb Reviews](https://apify.com/blackfalcondata/airbnb-reviews-scraper?fpr=1h3gvi) in Apify Console.
2. Configure the input.
3. Set `maxResults` to control how many results you need.
4. Click **Start** and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract review data from Airbnb for market research and competitive analysis.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
- Benchmark reputation and guest satisfaction using rating and review fields.

### How much does it cost to scrape Airbnb?

Airbnb Reviews uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.004 per review record

Example costs:

- 10 results: **$0.045**
- 25 results: **$0.11**
- 100 results: **$0.41**
- 200 results: **$0.81**
- 500 results: **$2**

### FAQ

#### How many results can I get from Airbnb?

The number of results depends on the search query and available reviews on Airbnb. Use the `maxResults` parameter to control how many results are returned per run.

#### Can I integrate Airbnb Reviews with other apps?

Yes. Airbnb Reviews works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Airbnb Reviews with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Airbnb Reviews through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape Airbnb?

This actor extracts publicly available data from Airbnb. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/airbnb-reviews-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Agoda Reviews — Hotel Guest Reviews](https://apify.com/blackfalcondata/agoda-reviews-scraper?fpr=1h3gvi) — Scrape guest reviews for any Agoda hotel — star ratings · full review text in the original language.
- [Booking \[Just 💰$1\] — Reviews by Hotel or Destination](https://apify.com/blackfalcondata/booking-reviews-scraper?fpr=1h3gvi) — 💰 $1 per 1,000 reviews. Scrape Booking.com guest reviews by hotel URL or destination. Each record.
- [Clutch — B2B Agency Ratings & Reviews](https://apify.com/blackfalcondata/clutch-scraper?fpr=1h3gvi) — Scrape clutch.co — B2B service providers with ratings · review counts · service lines · hourly.
- [Jameda \[Just 💰$2\] — German doctor reviews](https://apify.com/blackfalcondata/jameda-scraper?fpr=1h3gvi) — 💰 $2 per 1,000 reviews. Scrape jameda.de — physician name & specialty · clinic address.
- [Kununu \[Just 💰$1\] — Employer Reviews & Ratings (DACH)](https://apify.com/blackfalcondata/kununu-scraper?fpr=1h3gvi) — 💰 $1 per 1,000 records. Scrape kununu.com across DACH — company ratings, employee reviews & salary.
- [ReclameAqui \[Just 💰$25\] — Complaints & Reputation (BR)](https://apify.com/blackfalcondata/reclameaqui-scraper?fpr=1h3gvi) — 💰 $25 per 1,000 records. Scrape ReclameAqui Brazil — full consumer complaint threads with company.
- [Trustpilot $0.25💰 Reviews/Ratings/Replies/Bypass 200 Limit](https://apify.com/blackfalcondata/trustpilot-reviews-scraper?fpr=1h3gvi) — 💰 $0.25 per 1,000 reviews. Scrape full Trustpilot history for any company — bypass the 200-review.
- [Whatnot — Listings, Sellers & Shop Inventory](https://apify.com/blackfalcondata/whatnot-scraper?fpr=1h3gvi) — Scrape whatnot.com — live-shopping marketplace listings and sellers — prices · bids · conditions ·.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctarich) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

### Disclaimer

This actor accesses only publicly available data on airbnb.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Airbnb Reviews's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Airbnb Reviews.

### Search keywords

airbnb scraper, airbnb api, apify airbnb, airbnb data extraction, airbnb reviews scraper, airbnb reviews api, apify airbnb reviews, airbnb reviews data extraction, airbnb.com scraper, airbnb.com data, airbnb.com api, review scraper, customer review data.

# Actor input Schema

## `startUrls` (type: `array`):

Paste Airbnb room URLs (e.g. https://www.airbnb.com/rooms/12345678). Reviews are scraped for each. Search-result URLs also work — their location is read from the URL.

## `searchLocations` (type: `array`):

One or more places: a city, a neighborhood, or "City, ST" (e.g. "New York, NY"). Each is searched to discover listings, then reviews are scraped for each listing found. Leave empty if you only use Listing URLs.

## `reviewsMaxPerListing` (type: `integer`):

Cap the number of reviews fetched per listing (0 = all available).

## `reviewSort` (type: `string`):

How to order reviews.

## `maxResults` (type: `integer`):

Maximum reviews to return (0 = no limit). When discovering by location, also bounds how many listings are scanned.

## `maxQueries` (type: `integer`):

Optional hard ceiling on how much work location discovery does. Leave empty for the default. Lower it to cap cost on very dense areas.

## `priceMin` (type: `integer`):

When discovering by location, only pull reviews for listings at or above this nightly price.

## `priceMax` (type: `integer`):

When discovering by location, only pull reviews for listings at or below this nightly price.

## `roomTypes` (type: `array`):

When discovering by location, restrict to one or more room types. Leave empty for all.

## `excludeEmptyFields` (type: `boolean`):

Drop null / empty-string fields from each review record.

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID where alerts are sent.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL.

## `whatsappPhoneNumberId` (type: `string`):

WhatsApp Business phone number ID from Meta Business Manager.

## `whatsappAccessToken` (type: `string`):

Meta Cloud API access token with whatsapp\_business\_messaging scope.

## `whatsappTo` (type: `string`):

Recipient phone number in E.164 format (e.g. +14155551234).

## `webhookUrl` (type: `string`):

Universal escape hatch for n8n / Make / Zapier / custom HTTP backends. Receives a JSON POST per run.

## `webhookHeaders` (type: `object`):

Additional HTTP headers sent with the generic webhook POST.

## `notificationLimit` (type: `integer`):

Maximum number of records included in each notification message (1–20).

## `notifyOnlyChanges` (type: `boolean`):

When change tracking applies, only send notifications for new or updated records.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results. A run-summary is written to the connected app; support is best-effort as Apify expands its connector catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `compact` (type: `boolean`):

Return only core fields. Reduces payload size for LLM pipelines and agent tools.

## Actor input object example

```json
{
  "startUrls": [],
  "searchLocations": [
    "New York, NY"
  ],
  "reviewsMaxPerListing": 20,
  "reviewSort": "best",
  "maxResults": 50,
  "roomTypes": [],
  "excludeEmptyFields": false,
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "compact": false
}
```

# 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 = {
    "startUrls": [],
    "searchLocations": [
        "New York, NY"
    ],
    "reviewsMaxPerListing": 20,
    "maxResults": 50,
    "roomTypes": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/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 = {
    "startUrls": [],
    "searchLocations": ["New York, NY"],
    "reviewsMaxPerListing": 20,
    "maxResults": 50,
    "roomTypes": [],
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/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 '{
  "startUrls": [],
  "searchLocations": [
    "New York, NY"
  ],
  "reviewsMaxPerListing": 20,
  "maxResults": 50,
  "roomTypes": []
}' |
apify call blackfalcondata/airbnb-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/v0cVoWt8kQkGkmAqe/builds/zRv5GwFjG8Ur1qSP3/openapi.json