# Airbnb Listing Scraper - Ratings, Host & Geo (No API Key) (`flash_scraper/airbnb-listings-scraper`) Actor

Scrape Airbnb listings by URL or room ID into clean rows: title, description, property and room type, guest capacity, rating, review count, the 4 sub-ratings, superhost, host name, city, latitude, longitude and images. No API key, no login.

- **URL**: https://apify.com/flash\_scraper/airbnb-listings-scraper.md
- **Developed by:** [Flash Scrape](https://apify.com/flash_scraper) (community)
- **Categories:** Travel, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.90 / 1,000 listings

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/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 Listing Scraper — Ratings, Host & Geo (No API Key)

Turn Airbnb listings into a clean dataset. Paste listing URLs (or bare room IDs) and get
**one tidy row per listing**: title, description, property and room type, guest capacity,
overall rating, review count, the four sub-ratings (accuracy, cleanliness, location,
value), superhost flag, host name, city/region/country, latitude/longitude, and photos.

**No API key, no login.** Data comes from each listing page's own embedded JSON
(schema.org JSON-LD + Airbnb's deferred-state payload).

### What you can do with it

- 🏘️ **Short-term-rental market research** — benchmark a city or a competitor set.
- ⭐ **Rating & review tracking** — watch overall and sub-ratings move over time.
- 🗺️ **Geo analysis** — map listings by lat/lng, capacity and property type.
- 📇 **Host lead generation** — find superhosts and multi-listing operators.

### Input

| Field | Type | Description |
|---|---|---|
| `listingUrls` | array | Full listing URLs, e.g. `https://www.airbnb.com/rooms/20669368`. Extra query params are ignored. |
| `roomIds` | array | Bare numeric room IDs, e.g. `20669368`. |
| `includeImages` | boolean | Add an `images` array with every photo URL. |
| `locale` | string | Preferred content language (`en`, `fr`, `es`, …). Default `en`. |
| `maxItems` | integer | Max listings per run (1–500). |

#### Example

```json
{
  "listingUrls": [
    "https://www.airbnb.com/rooms/20669368",
    "https://www.airbnb.com/rooms/48799927"
  ],
  "includeImages": false,
  "maxItems": 50
}
```

### Output (one row per listing)

`room_id`, `name`, `url`, `description`, `property_type`, `room_type`, `person_capacity`,
`bedrooms`, `beds`, `bathrooms`, `rating`, `review_count`, `rating_accuracy`,
`rating_cleanliness`, `rating_location`, `rating_value`, `rating_checkin`,
`rating_communication`, `is_superhost`, `is_guest_favorite`, `host_name`, `host_id`,
`host_rating_count`, `locality`, `region`, `country`, `latitude`, `longitude`, `image`,
`images_count` (+ `images[]` when enabled).

#### Sample row

```json
{
  "room_id": "20669368",
  "name": "Little Country Houses - Finley's Fort + hot tub",
  "property_type": "Tiny home",
  "room_type": "Entire home/apt",
  "person_capacity": 2,
  "rating": 4.91,
  "review_count": 316,
  "rating_cleanliness": 4.81,
  "rating_location": 4.9,
  "rating_value": 4.71,
  "is_superhost": true,
  "is_guest_favorite": true,
  "host_name": "Tanya",
  "host_rating_count": 1652,
  "locality": "Mickleton",
  "latitude": 52.08413,
  "longitude": -1.768
}
```

### Honest notes

- **Nightly price is not included.** Airbnb does not render price server-side — the browser
  fetches it after page load — so this actor does not claim a price field rather than
  return an empty or misleading one.
- Airbnb throttles datacenter IPs. Requests are paced and retried automatically; for larger
  runs enable **Apify Proxy (residential)** for reliable results.
- Only **public listing data** is collected. Fields that Airbnb does not expose on a given
  listing come back as `null`.

# Actor input Schema

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

Full listing URLs, e.g. https://www.airbnb.com/rooms/20669368. Extra query parameters are fine and are ignored.

## `roomIds` (type: `array`):

Bare numeric Airbnb room IDs, e.g. 20669368 — the number at the end of a listing URL.

## `includeImages` (type: `boolean`):

Add an 'images' array with every photo URL found. Off = only the main photo plus a count.

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

Preferred content language for the listing text, e.g. en, fr, es, de.

## `maxItems` (type: `integer`):

Maximum number of listings to scrape in this run.

## Actor input object example

```json
{
  "listingUrls": [
    "https://www.airbnb.com/rooms/20669368"
  ],
  "includeImages": false,
  "locale": "en",
  "maxItems": 50
}
```

# 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/20669368"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("flash_scraper/airbnb-listings-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/20669368"] }

# Run the Actor and wait for it to finish
run = client.actor("flash_scraper/airbnb-listings-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/20669368"
  ]
}' |
apify call flash_scraper/airbnb-listings-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/jFYRUGKhRTZU3vWsi/builds/Y18NIAll9Bix9TTS3/openapi.json