# Airbnb Parser Spider (`getdataforme/airbnb-parser-spider`) Actor Extract detailed Airbnb listing data effortlessly, including prices, ratings, images, and locations via customizable searches. Leverages residential proxies for reliable scraping, delivers structured JSON output, and requires no coding.... - **URL**: https://apify.com/getdataforme/airbnb-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Airbnb Parser Spider ### Introduction The Airbnb Parser Spider is a powerful Apify Actor designed to scrape and extract detailed listing data from Airbnb search results. It enables users to gather comprehensive information about accommodations, including prices, ratings, images, and locations, based on customizable search parameters. This tool is ideal for data-driven professionals seeking reliable, structured insights into the vacation rental market without manual browsing. ### Features - **Comprehensive Data Extraction**: Captures key details like titles, ratings, prices, badges, images, and geolocation for each listing. - **Flexible Search Configuration**: Supports location-based queries with check-in/check-out dates and guest counts (adults, children, infants). - **High-Reliability Scraping**: Utilizes residential proxies to bypass restrictions and ensure consistent data retrieval. - **Structured JSON Output**: Delivers clean, machine-readable data perfect for integration into databases or analytics tools. - **Scalable Performance**: Handles large search results efficiently, with built-in error handling for robust operation. - **No Coding Required**: User-friendly interface on Apify Store for easy setup and execution. - **Real-Time Data**: Fetches the latest listings directly from Airbnb, ensuring up-to-date information. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Location | string | No | The location to search for Airbnb listings (e.g., city or neighborhood). | "Pokhara Lakeside" | | CheckinDate | string | No | Check-in date in YYYY-MM-DD format or relative (e.g., "10 days"). | "2025-10-10" | | CheckoutDate | string | No | Check-out date in YYYY-MM-DD format or relative (e.g., "16 days"). | "2025-10-16" | | Adults | integer | No | Number of adult guests. | 2 | | Children | integer | No | Number of children. | 1 | | Infants | integer | No | Number of infants. | 0 | | proxyConfiguration | object | No | Proxy settings to anonymize requests, defaulting to Apify Residential proxies. | {"useApifyProxy": true, "apifyProxyGroups": \["RESIDENTIAL"]} | ### Example Usage #### Input JSON ```json { "Location": "Pokhara Lakeside", "CheckinDate": "2025-10-10", "CheckoutDate": "2025-10-16", "Adults": 2, "Children": 1, "Infants": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` #### Output JSON ```json [ { "title": "Home in Pokhara", "subtitle": "Rooftop | Two Bedroom Unit | Kitchen + Free Coffee", "name": "Rooftop | Two Bedroom Unit | Kitchen + Free Coffee", "avg_rating": "4.88 (123)", "avg_rating_label": "4.88 out of 5 average rating, 123 reviews", "price": "$143", "price_label": "$143 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": "Nov 25\u2009\u2013\u200930", "location": { "latitude": 28.21556, "longitude": 83.96321 } } ] ``` ### Use Cases - **Market Research**: Analyze pricing trends and popular locations for vacation rental investments. - **Competitive Intelligence**: Monitor competitors' listings, ratings, and features to optimize your own offerings. - **Price Monitoring**: Track price fluctuations for specific dates and locations to find the best deals. - **Content Aggregation**: Build databases of listings for travel blogs, apps, or comparison sites. - **Academic Research**: Study tourism patterns, accommodation availability, and guest preferences. - **Business Automation**: Automate data collection for real estate analytics or booking platforms. ### Installation and Usage 1. Search for "Airbnb Parser Spider" 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 an Airbnb listing. Key fields include: - `title` and `subtitle`: Listing name and brief description. - `avg_rating` and `avg_rating_label`: Rating score and detailed review info. - `price` and `price_label`: Cost and duration details. - `badges`: Special labels like "Guest favorite". - `pictures`: Array of image URLs. - `distance`: Availability dates. - `location`: Latitude and longitude coordinates. This structured format ensures 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-parser-spider").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-parser-spider").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/airbnb-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/airbnb-parser-spider" } } } ``` 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 ` 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/fwUbIyrsHYYUeIAhC/builds/1uXGyaRNQKsXq3QlF/openapi.json