# Airbnb Experiences Scraper (`w3crawler/airbnb-experiences-scraper`) Actor Scrape Airbnb Experiences listings with detailed information including title, price, rating, duration, host details, and more. - **URL**: https://apify.com/w3crawler/airbnb-experiences-scraper.md - **Developed by:** [w3crawler](https://apify.com/w3crawler) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Experiences Scraper Collect Airbnb Experiences listings from any city worldwide. Get titles, prices, ratings, durations, host information, and category tags — all in one structured dataset. Great for travel research, competitive analysis, and app development. ### What you can do with this scraper - **Search by city or location** — enter any city, neighbourhood, or area to get local experiences - **Filter by category** — art, cooking, nature, fitness, tours, entertainment, and more - **Custom URL support** — paste your own Airbnb Experiences search URL to scrape exactly what you see - **Automatic pagination** — keeps collecting until your set item limit is reached ### Who is this for? - **Travel app developers** building experience recommendation or booking tools - **Tourism researchers** analysing what kind of experiences are popular in different cities - **Host businesses** benchmarking their offerings against competitors - **Content creators** covering travel and local culture needing structured data ### Sample output record ```json { "experienceId": "1024581", "url": "https://www.airbnb.com/experiences/1024581", "title": "Hidden Street Food Tour of Old Delhi", "description": "Explore the narrow lanes of Old Delhi while tasting 8 iconic street foods...", "location": "New Delhi", "price": 45, "priceFormatted": "$45 per person", "rating": 4.96, "reviewCount": 312, "duration": 180, "category": "Food & Drink", "thumbnailUrl": "https://a0.muscache.com/...", "imageUrls": ["https://a0.muscache.com/...", "..."], "badges": ["Guest favourite", "Bestseller"], "hostName": "Arjun", "hostId": "42891033", "hostUrl": "https://www.airbnb.com/users/show/42891033", "searchLocation": "New Delhi", "pageNum": 1, "scrapedAt": "2026-05-19T10:30:00.000Z" } ```` ### Input options | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `location` | string | `London` | ✓ | City or area to search (e.g., `Paris`, `Tokyo`, `New York`) | | `category` | string | *(all)* | | Experience category: `art`, `cooking`, `entertainment`, `fitness`, `history`, `nature`, `social`, `sports`, `tours` | | `startUrls` | array | *(auto)* | | Custom Airbnb Experiences search URLs — overrides location/category if provided | | `maxItems` | integer | `50` | | Maximum number of experiences to collect | | `proxyConfiguration` | object | Apify Residential | | Proxy settings — residential proxy strongly recommended | ### Output fields | Field | Description | |-------|-------------| | `experienceId` | Unique Airbnb experience ID | | `url` | Direct link to the experience page | | `title` | Experience name | | `description` | Short host byline or tagline | | `location` | Where the experience takes place | | `price` | Price per person (numeric) | | `priceFormatted` | Price as shown on the site | | `rating` | Average rating (0–5) | | `reviewCount` | Total number of reviews | | `duration` | Duration in minutes | | `category` | Experience category | | `thumbnailUrl` | Main image URL | | `imageUrls` | All image URLs for the experience | | `badges` | Special labels (e.g., Guest favourite, Bestseller) | | `hostName` | First name of the host | | `hostId` | Airbnb host user ID | | `hostUrl` | Link to the host's Airbnb profile | | `searchLocation` | Location used for the search | | `scrapedAt` | Timestamp when scraped (ISO 8601) | ### Tips for best results - Use full city names for best accuracy (e.g., `New York City` rather than `NYC`) - Try multiple category filters separately for a complete picture of a city's offerings - Combine with the Airbnb Search Scraper to get both accommodation and experiences data - Schedule weekly runs to track new experience listings and pricing changes in key cities # Actor input Schema ## `location` (type: `string`): City, region, or country to search for experiences (e.g., 'London', 'New York', 'Paris'). ## `category` (type: `string`): Filter by experience category. ## `startUrls` (type: `array`): Custom Airbnb Experiences search URLs to scrape (optional, overrides location/category). ## `maxItems` (type: `integer`): Maximum number of experiences to extract. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. ## Actor input object example ```json { "location": "London", "category": "", "maxItems": 50 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("w3crawler/airbnb-experiences-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("w3crawler/airbnb-experiences-scraper").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 w3crawler/airbnb-experiences-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=w3crawler/airbnb-experiences-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Experiences Scraper", "description": "Scrape Airbnb Experiences listings with detailed information including title, price, rating, duration, host details, and more.", "version": "1.0", "x-build-id": "lJj8JrOqsNCRkGQzc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/w3crawler~airbnb-experiences-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-w3crawler-airbnb-experiences-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/w3crawler~airbnb-experiences-scraper/runs": { "post": { "operationId": "runs-sync-w3crawler-airbnb-experiences-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/w3crawler~airbnb-experiences-scraper/run-sync": { "post": { "operationId": "run-sync-w3crawler-airbnb-experiences-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City, region, or country to search for experiences (e.g., 'London', 'New York', 'Paris').", "default": "London" }, "category": { "title": "Category", "enum": [ "", "art", "cooking", "entertainment", "fitness", "history", "nature", "social", "sports", "tours" ], "type": "string", "description": "Filter by experience category.", "default": "" }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Custom Airbnb Experiences search URLs to scrape (optional, overrides location/category).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of experiences to extract.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping." } } }, "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 } } } } } } } } } } ```