# Airbnb Properties Actor (`getdataforme/airbnb-properties-actor`) Actor The Airbnb Properties Actor scrapes comprehensive Airbnb listings, extracting titles, ratings, prices, images, and locations based on custom search criteria.... - **URL**: https://apify.com/getdataforme/airbnb-properties-actor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Real estate - **Stats:** 27 total users, 0 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 Properties Actor The Airbnb Properties Actor is a powerful web scraping tool designed to extract detailed property listings from Airbnb based on your specified search criteria. It provides comprehensive data on properties, including titles, ratings, prices, images, and locations, enabling users to gather insights for various applications. This actor ensures reliable and efficient data collection while respecting Airbnb's terms of service through configurable proxy settings. ### Features - **Comprehensive Data Extraction**: Retrieves key details like property titles, subtitles, ratings, prices, badges, images, and geographical coordinates. - **Flexible Search Parameters**: Supports custom locations, check-in/check-out dates, and guest counts (adults, children, infants) for targeted scraping. - **High-Quality Output**: Delivers structured JSON data with consistent formatting, ideal for integration into databases or analysis tools. - **Proxy Support**: Utilizes Apify's residential proxies to avoid IP blocks and ensure uninterrupted scraping. - **Scalable and Fast**: Optimized for performance, handling multiple listings efficiently without compromising data accuracy. - **User-Friendly Configuration**: Intuitive input schema with defaults for quick setup, suitable for both beginners and advanced users. - **Reliable and Compliant**: Built to minimize detection risks while adhering to ethical scraping practices. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Location | string | No | The location to search for Airbnb properties (e.g., city or area name). | "Pokhara Lakeside" | | CheckinDate | string | No | The check-in date in YYYY-MM-DD format or relative (e.g., "5 days"). | "2025-10-10" | | CheckoutDate | string | No | The check-out date in YYYY-MM-DD format or relative (e.g., "1 week"). | "2025-10-16" | | Adults | integer | No | Number of adult guests. | 2 | | Children | integer | No | Number of children guests. | 1 | | Infants | integer | No | Number of infant guests. | 0 | | proxyConfiguration | object | No | Proxy settings to hide the scraper's origin, defaulting to Apify residential proxies. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]} | ### Example Usage To run the actor, provide input parameters in JSON format. Here's an example input: ```json { "Location": "Pokhara Lakeside", "CheckinDate": "2025-10-10", "CheckoutDate": "2025-10-16", "Adults": 2, "Children": 1, "Infants": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` Example output (array of property objects): ```json [ { "title": "Home in Pokhara", "subtitle": "Rooftop | Two Bedroom Unit | Kitchen + Free Coffee", "name": "Rooftop | Two Bedroom Unit | Kitchen + Free Coffee", "avg_rating": "4.89 (131)", "avg_rating_label": "4.89 out of 5 average rating, 131 reviews", "price": "€ 128", "price_label": "€ 128 for 5 nights", "badges": [ "Guest favorite" ], "pictures": [ "https://a0.muscache.com/im/pictures/hosting/Hosting-31240660/original/875042cf-b199-470b-8722-cf847c52876a.jpeg", "https://a0.muscache.com/im/pictures/hosting/Hosting-31240660/original/f49e0fba-ea92-4392-83c4-767919d8297f.jpeg", "https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6MzEyNDA2NjA%3D/original/09139145-fc0e-437a-8389-a494a386c609.jpeg", "https://a0.muscache.com/im/pictures/hosting/Hosting-31240660/original/30ea55e1-f5fe-42a3-b469-6aebff0a2423.jpeg", "https://a0.muscache.com/im/pictures/848ea051-3077-49e1-8db9-0f4f831f3cfb.jpg", "https://a0.muscache.com/im/pictures/5cc8ac04-e7a4-4f11-ab36-77802df3229f.jpg" ], "distance": "Jan 29 – Feb 3", "location": { "latitude": 28.21556, "longitude": 83.96321 } } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze property trends, pricing, and availability in specific locations for real estate insights. - **Competitive Intelligence**: Monitor competitors' listings to understand market positioning and pricing strategies. - **Price Monitoring**: Track price fluctuations over time for dynamic pricing models or travel planning. - **Content Aggregation**: Collect property data for travel blogs, apps, or directories. - **Academic Research**: Gather data for studies on tourism, hospitality, or economic impacts of short-term rentals. - **Business Automation**: Automate data feeds for travel agencies or booking platforms to update inventories. ### Installation and Usage 1. Search for "Airbnb Properties Actor" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The actor outputs an array of JSON objects, each representing a property listing. Key fields include: - `title` and `subtitle`: Property name and brief description. - `avg_rating` and `avg_rating_label`: Rating score and detailed label. - `price` and `price_label`: Cost and formatted price string. - `badges`: Array of special labels (e.g., "Guest favorite"). - `pictures`: Array of image URLs. - `distance`: Availability dates. - `location`: Object with latitude and longitude for mapping. Data is structured for easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Location` (type: `string`): The location for the spider. ## `CheckinDate` (type: `string`): The checkin date for the spider. ## `CheckoutDate` (type: `string`): The checkout date for the spider. ## `Adults` (type: `integer`): This is the number of adults for your query ## `Children` (type: `integer`): This is the number of children for your query ## `Infants` (type: `integer`): This is the number of infants for your query ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "Location": "Pokhara Lakeside", "CheckinDate": "2025-10-10", "CheckoutDate": "2025-10-16", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/airbnb-properties-actor").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/airbnb-properties-actor").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/airbnb-properties-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/airbnb-properties-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Properties Actor", "description": "The Airbnb Properties Actor scrapes comprehensive Airbnb listings, extracting titles, ratings, prices, images, and locations based on custom search criteria....", "version": "0.0", "x-build-id": "1jDs1ftXvb0EY4Kt6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~airbnb-properties-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-airbnb-properties-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~airbnb-properties-actor/runs": { "post": { "operationId": "runs-sync-getdataforme-airbnb-properties-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~airbnb-properties-actor/run-sync": { "post": { "operationId": "run-sync-getdataforme-airbnb-properties-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Location": { "title": "Location", "type": "string", "description": "The location for the spider.", "default": "Pokhara Lakeside" }, "CheckinDate": { "title": "Checkin Date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "The checkin date for the spider.", "default": "2025-10-10" }, "CheckoutDate": { "title": "Checkout Date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "The checkout date for the spider.", "default": "2025-10-16" }, "Adults": { "title": "Enter the number of adults", "type": "integer", "description": "This is the number of adults for your query" }, "Children": { "title": "Enter the number of children", "type": "integer", "description": "This is the number of children for your query" }, "Infants": { "title": "Enter the number of infants", "type": "integer", "description": "This is the number of infants for your query" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```