# Airbnb Price Tracker — Monitor Listing Prices (`apikiy/airbnb-price-tracker`) Actor

Scrape Airbnb search results across multiple locations, dates, and guest counts. Extract listing details, prices, ratings, amenities, and more. - \*\*Multi-locati

- **URL**: https://apify.com/apikiy/airbnb-price-tracker.md
- **Developed by:** [Julien ApiKiy](https://apify.com/apikiy) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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/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 Price Tracker — Apify Actor

Scrape Airbnb search results across multiple locations, dates, and guest counts. Extract listing details, prices, ratings, amenities, and more.

### Features

- **Multi-location search** — search across multiple cities/regions in one run
- **Date-aware pricing** — includes check-in/check-out for accurate nightly and total prices
- **Rich data extraction** — name, price/night, total price, rating, reviews, host, bedrooms, beds, baths, amenities, images, and URLs
- **Pagination support** — automatically follows "Next" pages up to your `maxResults` limit
- **Anti-detection** — randomized user agents, stealth browser args, human-like delays, no proxy required
- **Price & property filters** — filter by min/max price and property type (apartment/house/all)
- **ESM / Node 22+** — modern JavaScript throughout

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `locations` | `string[]` | *required* | Cities, regions, or addresses to search |
| `checkIn` | `string` | — | Check-in date (YYYY-MM-DD) |
| `checkOut` | `string` | — | Check-out date (YYYY-MM-DD) |
| `guests` | `integer` | `2` | Number of guests (1–16) |
| `minPrice` | `integer` | `0` | Minimum nightly price filter (USD) |
| `maxPrice` | `integer` | `0` | Maximum nightly price filter (USD) |
| `propertyType` | `string` | `"all"` | `apartment`, `house`, or `all` |
| `maxResults` | `integer` | `20` | Max listings per location (1–200) |

### Output

Each dataset item contains:

```json
{
  "listingName": "Cozy Studio in Downtown",
  "pricePerNight": 120,
  "totalPrice": 600,
  "rating": 4.85,
  "reviewCount": 342,
  "hostName": "Jane",
  "bedrooms": 1,
  "beds": 1,
  "bathrooms": 1,
  "amenities": ["WiFi", "Kitchen"],
  "imageUrl": "https://...",
  "listingUrl": "https://www.airbnb.com/rooms/123456",
  "location": "New York",
  "scrapedAt": "2025-07-04T12:00:00.000Z"
}
```

### Usage

#### Run locally

```bash
npm install
npm start
```

#### Run via Apify CLI

```bash
apify actor:create airbnb-price-tracker
apify call -i '{"locations": ["New York"], "checkIn": "2025-08-01", "checkOut": "2025-08-05", "guests": 2, "maxResults": 10}'
```

#### Docker build

```bash
docker build -t airbnb-price-tracker .
docker run airbnb-price-tracker
```

### Tests

```bash
npm test
```

### Architecture

```
airbnb-price-tracker/
├── .actor/
│   ├── actor.json           # Actor configuration
│   ├── input_schema.json    # Input schema with editor hints
│   └── output_schema.json   # Output schema
├── src/
│   ├── main.js              # Entry point, validation, orchestration
│   ├── scraper.js           # Playwright scraping, anti-detection, extraction
│   └── utils.js             # URL builders, parsers, helpers
├── test/
│   ├── utils.test.js        # Tests for URL builders, parsers, helpers
│   ├── main.test.js         # Tests for validation and defaults
│   └── scraper.test.js      # Tests for module exports
├── Dockerfile
├── package.json
└── README.md
```

### Anti-Detection Strategy

- Random user agent from pool of 4 real Chrome strings
- Playwright args to disable `AutomationControlled` and other fingerprinting vectors
- `navigator.webdriver` override via `addInitScript`
- Mock `window.chrome`, `navigator.plugins`, `navigator.languages`
- Random delays (1–5s) between pages and locations
- No proxy required — works from datacenter IPs

### 💰 Pricing

Pay-per-use, no monthly fees:

| | Price |
|---|---|
| **Actor start** | $0.01 |
| **Per result** | $0.01 |

> 💡 Example: A run returning 500 results costs **$5.01** total ($0.01 start + 500 × $0.01). Runs with 0 results cost only **$0.01**.

### License

MIT

# Actor input Schema

## `locations` (type: `array`):

List of locations to search (e.g., 'Paris, France', 'Barcelona, Spain')

## `checkIn` (type: `string`):

Check-in date in YYYY-MM-DD format

## `checkOut` (type: `string`):

Check-out date in YYYY-MM-DD format

## `guests` (type: `integer`):

Number of guests for the stay

## `minPrice` (type: `integer`):

Minimum price per night in local currency

## `maxPrice` (type: `integer`):

Maximum price per night in local currency

## `propertyType` (type: `string`):

Type of property to search for

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

Maximum number of listings to extract

## `maxConcurrency` (type: `integer`):

Maximum number of concurrent browser tabs

## Actor input object example

```json
{
  "guests": 2,
  "propertyType": "all",
  "maxResults": 20,
  "maxConcurrency": 2
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("apikiy/airbnb-price-tracker").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("apikiy/airbnb-price-tracker").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 '{}' |
apify call apikiy/airbnb-price-tracker --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ay93SYUW82d8pezGd/builds/5psErYjL9caNhJLg6/openapi.json