# 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 × $0.01). ### License MIT # Actor input Schema ## `locations` (type: `array`): List of locations to search (e.g., 'Paris, France', 'Barcelona, Spain') ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format ## `guests` (type: `integer`): Number of guests for the stay ## `minPrice` (type: `integer`): Minimum price per night in local currency ## `maxPrice` (type: `integer`): Maximum price per night in local currency ## `propertyType` (type: `string`): Type of property to search for ## `maxResults` (type: `integer`): Maximum number of listings to extract ## `maxConcurrency` (type: `integer`): Maximum number of concurrent browser tabs ## Actor input object example ```json { "locations": [ "Paris, France" ], "guests": 2, "propertyType": "all", "maxResults": 20, "maxConcurrency": 2 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "locations": [ "Paris, France" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apikiy/airbnb-price-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "locations": ["Paris, France"] } # 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 '{ "locations": [ "Paris, France" ] }' | 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Price Tracker — Monitor Listing Prices", "description": "Scrape Airbnb search results across multiple locations, dates, and guest counts. Extract listing details, prices, ratings, amenities, and more. - **Multi-locati", "version": "0.1", "x-build-id": "9fc0A9xxu5Ecdn2Gc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apikiy~airbnb-price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apikiy-airbnb-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apikiy~airbnb-price-tracker/runs": { "post": { "operationId": "runs-sync-apikiy-airbnb-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apikiy~airbnb-price-tracker/run-sync": { "post": { "operationId": "run-sync-apikiy-airbnb-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "locations": { "title": "Locations", "type": "array", "description": "List of locations to search (e.g., 'Paris, France', 'Barcelona, Spain')", "default": [ "Paris, France" ], "items": { "type": "string" } }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format" }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format" }, "guests": { "title": "Number of Guests", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of guests for the stay", "default": 2 }, "minPrice": { "title": "Min Price (per night)", "minimum": 0, "type": "integer", "description": "Minimum price per night in local currency" }, "maxPrice": { "title": "Max Price (per night)", "minimum": 0, "type": "integer", "description": "Maximum price per night in local currency" }, "propertyType": { "title": "Property Type", "enum": [ "all", "apartment", "house", "room" ], "type": "string", "description": "Type of property to search for", "default": "all" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of listings to extract", "default": 20 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Maximum number of concurrent browser tabs", "default": 2 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```