# Airbnb Search Scraper (`mina_safwat/airbnb-scraper`) Actor

Scrapes Airbnb search results — prices, ratings, coordinates, Superhost status, and photos — with the full filter set

- **URL**: https://apify.com/mina\_safwat/airbnb-scraper.md
- **Developed by:** [Mina](https://apify.com/mina_safwat) (community)
- **Categories:** Travel, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.

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

Scrape **Airbnb search results** — prices, ratings, review counts, Superhost status, coordinates, and photos — for any destination, with the filters you would use on the site itself.

### What does Airbnb Search Scraper do?

Give it a destination and your dates, and it returns the listings as structured data: the title, the price for your stay, the guest rating and how many reviews it is based on, whether the host is a Superhost, exact map coordinates, and the listing photos — plus a direct link to each place.

Filters work the same way they do on Airbnb: price range, type of place, bedrooms, beds, bathrooms, Superhost, and Instant Book.

### Why use Airbnb Search Scraper?

- **Rate monitoring** — track what comparable places charge in a market, on a schedule.
- **Revenue management** — see how your listing is priced against its neighbours for the same dates.
- **Market research** — measure supply, price spread, and Superhost density in an area.
- **Investment analysis** — gather nightly rates and review volume before buying a property.
- **Travel tools** — feed a comparison site or an internal booking tool.

Running it on Apify adds scheduling, an API, integrations (Sheets, Slack, Zapier, S3), and run monitoring.

### How to use Airbnb Search Scraper

1. Type a **Destination**, e.g. `Paris, France`.
2. Set **Check-in** and **Check-out** dates and your guest numbers.
3. Pick a **Currency**.
4. Add any **Filters** you want, then click **Start**.

Results appear in the Output tab as they are scraped, and download as JSON, CSV, Excel, or XML.

### Input

| Field | Description |
| --- | --- |
| `destination` | City, region, or neighbourhood, as you would type it on Airbnb. |
| `checkin` / `checkout` | `YYYY-MM-DD`. Leave both empty to browse without dates. |
| `adults`, `children`, `infants`, `pets` | Your party. Adding pets also filters to places that allow them. |
| `currency` | Currency for all prices. |
| `max_listings` | Stops after this many. See the note on search depth below. |
| `price_min` / `price_max` | **Per night** — see the warning below. |
| `room_types` | Entire home, private room, shared room, or hotel room. |
| `min_bedrooms`, `min_beds`, `min_bathrooms` | Size requirements. |
| `superhost_only`, `instant_book_only` | Host and booking filters. |
| `extra_filters` | Raw Airbnb URL filters like `amenities[]=4`, copied from the address bar. |

### Output

```json
{
  "listing_id": "37073254",
  "url": "https://www.airbnb.com/rooms/37073254",
  "title": "Apartment in Paris",
  "rating": 4.97,
  "review_count": 96,
  "price_amount": 480.0,
  "price_currency_symbol": "$",
  "price_qualifier": "for 3 nights",
  "original_price_amount": null,
  "is_discounted": false,
  "is_superhost": true,
  "badges": ["Superhost"],
  "latitude": 48.8437,
  "longitude": 2.3412,
  "details": ["2 beds"],
  "images": ["https://a0.muscache.com/im/1.jpg"]
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

#### Data fields

| Field | Description |
| --- | --- |
| `listing_id`, `url`, `title`, `name` | Which listing, and where to find it. |
| `rating`, `review_count` | Guest rating and how many reviews it is based on. New listings have neither. |
| `price_amount`, `price_currency_symbol`, `price_qualifier` | The price you would pay, as a number, its currency, and what it covers — usually the whole stay. |
| `original_price_amount`, `is_discounted` | For discounted listings, the price before the discount. |
| `price_label`, `original_price_label`, `total_price_label` | The prices exactly as Airbnb displays them. |
| `is_superhost`, `badges` | Host status and any labels Airbnb shows, such as Guest favourite. |
| `latitude`, `longitude` | Map position — Airbnb's approximate location for the listing. |
| `details` | The small lines on each card, such as bed counts and dates. |
| `images` | Listing photos. |

### Two things to know about prices and depth

**Price filters are per night; displayed prices are per stay.** Setting a maximum of 400 for a three-night trip returns places up to about 1200 in total. That is how Airbnb works, not a fault in the Actor — the run log reminds you whenever you use a price filter.

**Airbnb caps how deep any one search goes**, at roughly 270 listings, no matter how high you set Max listings. The log tells you how deep your search actually goes. To cover a whole city, run several narrower searches — by neighbourhood, price band, or room type — rather than one broad one.

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

Listings come back 18 at a time, and the Actor pauses between pages to stay within what Airbnb tolerates. Cost tracks the number of listings, so **Max listings** is the main lever.

### Tips

- **Split big markets.** Because of the depth cap, four neighbourhood searches collect far more than one city-wide search.
- **Always set dates** if you care about prices. Without them Airbnb shows indicative pricing only.
- **Coordinates are approximate.** Airbnb deliberately offsets the map position of a listing until a booking is confirmed.
- **Schedule it** against the same search to build a price history for a market.

### FAQ and support

**Does it need an Airbnb account or login?** No. It reads only publicly visible search results.

**Why do some listings have no rating?** New listings have no reviews yet, so Airbnb shows nothing. Those come back with empty rating fields rather than a zero, so you can tell "new" from "badly rated".

**Why did I get fewer listings than I asked for?** Airbnb limits search depth. The run log says how many pages your search offers and warns you when you asked for more than exists.

**Is scraping Airbnb legal?** This Actor collects publicly visible listing data and no personal information. Airbnb's terms of service do prohibit automated collection, and Airbnb has taken action over scraping in the past — more so than most sites. Public data scraping has been upheld in some jurisdictions, but you are responsible for your own use, including Airbnb's terms and local law. Consult a lawyer before relying on this commercially.

Found a bug or want a field that is missing? Open an issue on the Actor's Issues tab.

# Actor input Schema

## `destination` (type: `string`):

Where to search — a city, region, or neighbourhood, exactly as you would type it on Airbnb. For example "Paris, France" or "Brooklyn, New York".

## `checkin` (type: `string`):

YYYY-MM-DD. Leave both dates empty to browse without specific dates (prices will be less exact).

## `checkout` (type: `string`):

YYYY-MM-DD.

## `adults` (type: `integer`):

Number of adults.

## `children` (type: `integer`):

Children aged 2–12.

## `infants` (type: `integer`):

Under 2 years old.

## `pets` (type: `integer`):

Number of pets — also filters to places that allow them.

## `currency` (type: `string`):

Currency all prices are shown in.

## `max_listings` (type: `integer`):

Stops after this many listings. Airbnb limits any single search to roughly 270, however high you set this.

## `price_min` (type: `integer`):

Airbnb applies this per night, while the price on each result is the total for the whole stay.

## `price_max` (type: `integer`):

Per night, not per stay — a 3-night trip with a 400 limit can show totals up to 1200.

## `room_types` (type: `array`):

Restrict to certain kinds of place. Leave empty for all.

## `min_bedrooms` (type: `integer`):

Minimum number of bedrooms.

## `min_beds` (type: `integer`):

Minimum number of beds.

## `min_bathrooms` (type: `integer`):

Minimum number of bathrooms.

## `superhost_only` (type: `boolean`):

Only places hosted by a Superhost.

## `instant_book_only` (type: `boolean`):

Only places that can be booked without host approval.

## `extra_filters` (type: `array`):

Raw Airbnb URL filters as "name=value", e.g. "amenities\[]=4" for a pool. Copy them from the address bar after applying a filter on Airbnb itself.

## `proxy_country` (type: `string`):

Comma-separated 2-letter codes, rotated across retries. Airbnb throttles repeat visitors, so residential proxies are strongly recommended.

## Actor input object example

```json
{
  "destination": "Paris, France",
  "adults": 2,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "currency": "USD",
  "max_listings": 100,
  "room_types": [],
  "superhost_only": false,
  "instant_book_only": false,
  "extra_filters": [],
  "proxy_country": "US,GB,DE,NL,FR"
}
```

# Actor output Schema

## `dataset` (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 = {
    "destination": "Paris, France"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mina_safwat/airbnb-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 = { "destination": "Paris, France" }

# Run the Actor and wait for it to finish
run = client.actor("mina_safwat/airbnb-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 '{
  "destination": "Paris, France"
}' |
apify call mina_safwat/airbnb-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mina_safwat/airbnb-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/bQU7H7a01mXWyuaui/builds/IaUeeV4z5jtuA9tKS/openapi.json