# Airbnb Listing Scraper (`thescrappa/airbnb-listing-scraper`) Actor

Get the full details of Airbnb listings: description, property and room type, guest capacity, rating with category scores, review count, Superhost and Guest favorite status, all amenities, photos with captions and location. Paste listing IDs or room links and scrape many listings in one run.

- **URL**: https://apify.com/thescrappa/airbnb-listing-scraper.md
- **Developed by:** [Scrappa](https://apify.com/thescrappa) (community)
- **Categories:** Travel, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.67 / 1,000 results

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 Listing Scraper

Get everything an Airbnb listing page shows about a stay, from its listing ID or room link. Each listing gives one row with the description, property and room type, guest capacity, rating with category scores, review count, Superhost and Guest favorite status, all amenities by category, photos with captions and the approximate location. Feed it the IDs from the Airbnb Search Scraper to enrich a whole city.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `id` | String | Airbnb listing ID. |
| `url` | String | Airbnb page of the listing. |
| `name` | String | Listing name written by the host. |
| `title` | String or null | Stay type and place, for example Entire rental unit in Porto, Portugal. |
| `property_type` | String or null | Property type, for example apartment, house or villa. |
| `room_type` | String or null | Room type: entire_home, private_room, shared_room or hotel_room. |
| `person_capacity` | Integer or null | Maximum number of guests. |
| `overview` | Array\<String> or null | Short facts such as 3 guests, 1 bedroom, 2 beds and 1 bath. |
| `rating` | Number or null | Average guest rating from 1 to 5. Null for new listings. |
| `review_count` | Integer or null | Number of guest reviews. |
| `category_ratings` | Array\<Object> or null | Scores from 1 to 5 by `category`, for example cleanliness, accuracy, check-in, communication, location and value. |
| `is_superhost` | Boolean or null | True when the host is a Superhost. |
| `is_guest_favorite` | Boolean or null | True when Airbnb marks the stay as a Guest favorite. |
| `latitude` | Number or null | Approximate latitude. Airbnb shifts the exact point for privacy. |
| `longitude` | Number or null | Approximate longitude. Airbnb shifts the exact point for privacy. |
| `amenities` | Array\<Object> or null | All amenities, each with `name` and `category` such as Kitchen and dining. |
| `thumbnail` | String or null | Link to the first photo. |
| `images` | Array\<Object> or null | All photos, each with `url` and `caption`. |
| `description` | String or null | Full listing description written by the host. |
| `input_listing` | String | Listing ID or link from your input. |
| `scraped_at` | String | UTC date and time when this record was collected. |

### Use cases

- Hosts can compare their amenities and ratings with the top listings in their area.
- Property managers can audit their own listings for missing amenities or photos.
- Investors can see which amenities the best rated stays in a city offer.
- Analysts can build datasets of listing quality, capacity and amenities by city.

### How to use

1. Add one entry per listing to `listings`, with a listing ID such as `29754402` or a room link.
2. Set `maxResults` to cap the number of listings saved in one run.
3. Start the run. Each listing gives one dataset row.

```json
{
  "listings": [
    {
      "listing_id": "29754402"
    }
  ],
  "maxResults": 10
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `listings` | Array\<object> | Yes | Airbnb listings to scrape, one per entry. Paste the listing ID or the room link. |
| `listings[].listing_id` | string | Yes per entry | Airbnb listing ID such as 18648717, or the room link such as https://www.airbnb.com/rooms/18648717. |
| `maxResults` | integer | No | Maximum dataset items to save across this entire run. |

### Output example

```json
{
  "id": "31840217",
  "url": "https://www.airbnb.com/rooms/31840217",
  "name": "Riverside loft with Douro views",
  "title": "Entire rental unit in Porto, Portugal",
  "property_type": "apartment",
  "room_type": "entire_home",
  "person_capacity": 3,
  "overview": [
    "3 guests",
    "1 bedroom",
    "2 beds",
    "1 bath"
  ],
  "rating": 4.91,
  "review_count": 287,
  "category_ratings": [
    {
      "category": "cleanliness",
      "rating": 4.95
    },
    {
      "category": "location",
      "rating": 4.98
    },
    {
      "category": "value",
      "rating": 4.83
    }
  ],
  "is_superhost": true,
  "is_guest_favorite": true,
  "latitude": 41.1408,
  "longitude": -8.6131,
  "amenities": [
    {
      "name": "Fast wifi",
      "category": "Internet and office"
    },
    {
      "name": "Air conditioning",
      "category": "Heating and cooling"
    },
    {
      "name": "Dishwasher",
      "category": "Kitchen and dining"
    }
  ],
  "thumbnail": "https://a0.muscache.com/im/pictures/hosting/Hosting-31840217/original/5b1e0f4a-7c2d-4e61-9a3b-2f8d6c1e9b07.jpeg",
  "images": [
    {
      "url": "https://a0.muscache.com/im/pictures/hosting/Hosting-31840217/original/5b1e0f4a-7c2d-4e61-9a3b-2f8d6c1e9b07.jpeg",
      "caption": "Living room with river view"
    },
    {
      "url": "https://a0.muscache.com/im/pictures/hosting/Hosting-31840217/original/8c3a2d91-1b4e-4f07-b6d2-7e9f0a5c3d18.jpeg",
      "caption": "Bedroom"
    }
  ],
  "description": "Bright top-floor loft in Ribeira, two minutes from the Douro river. Open kitchen, balcony with a view of the bridges and a quiet bedroom at the back.",
  "input_listing": "29754402",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$1.00 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set **maxResults** to cap the number of dataset items saved in one run.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~airbnb-listing-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Where do I find the listing ID?

It is the number after /rooms/ in the Airbnb link, for example 29754402 in airbnb.com/rooms/29754402. You can paste the whole link, or get IDs with the Airbnb Search Scraper.

#### Does it include prices or the calendar?

No. Use the Airbnb Search Scraper for prices for your dates. This Actor gives the listing details and ratings.

### Related Scrappa Actors

- [Airbnb Search Scraper](https://apify.com/thescrappa/airbnb-search-scraper)
- [Airbnb Reviews Scraper](https://apify.com/thescrappa/airbnb-reviews-scraper)
- [Booking.com Hotel Details Scraper](https://apify.com/thescrappa/booking-hotel-details-scraper)
- [Kayak Vacation Rentals Scraper](https://apify.com/thescrappa/kayak-vacation-rentals-scraper)

# Actor input Schema

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

Airbnb listings to scrape, one per entry. Paste the listing ID or the room link.

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

Maximum dataset items to save across this entire run.

## Actor input object example

```json
{
  "listings": [
    {
      "listing_id": "29754402"
    }
  ],
  "maxResults": 10
}
```

# Actor output Schema

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

All results from this run in the default dataset.

# 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 = {
    "listings": [
        {
            "listing_id": "29754402"
        }
    ],
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("thescrappa/airbnb-listing-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 = {
    "listings": [{ "listing_id": "29754402" }],
    "maxResults": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/airbnb-listing-scraper").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 '{
  "listings": [
    {
      "listing_id": "29754402"
    }
  ],
  "maxResults": 10
}' |
apify call thescrappa/airbnb-listing-scraper --silent --output-dataset

```

## MCP server setup

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

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/kshqrMbOFVSSjE3B0/builds/PabSXglls2DyVRWwv/openapi.json