# Airbnb Destinations Scraper (`akash9078/airbnb-destinations-scraper`) Actor Scrape Airbnb listings for a destination with prices, ratings, amenities, images, and optional review snippets. - **URL**: https://apify.com/akash9078/airbnb-destinations-scraper.md - **Developed by:** [Akash Kumar Naik](https://apify.com/akash9078) (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 from $0.00005 / actor start 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 Destinations Scraper Scrape Airbnb listing results for a destination, including prices, ratings, amenities, images, and optional review snippets. ### What it does - Searches Airbnb by destination name such as `Paris`, `Tokyo`, or `New York` - Collects listing titles, prices, ratings, review counts, property details, and listing URLs - Extracts human-readable amenities directly from Airbnb listing pages - Optionally fetches review snippets for each listing - Saves structured results to the default dataset for export as JSON, CSV, Excel, or API output ### Input ```json { "placeName": "Paris", "maxItems": 25, "includeImages": true, "maxImagesPerListing": 5, "includeReviewTexts": true, "maxReviewTexts": 3, "currency": "USD", "checkIn": "30 days", "checkOut": "34 days", "proxyConfig": { "useApifyProxy": true } } ```` Input fields: - `placeName`: Destination to search on Airbnb. - `maxItems`: Maximum number of listings to save. - `includeImages`: Include listing images in the output. - `maxImagesPerListing`: Maximum number of image URLs to keep for each listing. - `includeReviewTexts`: Fetch review snippets for each listing. - `maxReviewTexts`: Maximum number of review snippets to save per listing. - `currency`: Currency used for pricing requests. - `checkIn`: Optional check-in date in `YYYY-MM-DD` format or a relative value like `30 days`. - `checkOut`: Optional check-out date in `YYYY-MM-DD` format or a relative value like `34 days`. - `proxyConfig`: Proxy settings. Use Apify Proxy on the platform for best reliability. ### Output Each dataset item looks like: ```json { "title": "The terraces of Monceau", "description": "Entire rental unit - 8th Arrondissement", "price": "$1,251", "rating": "4.98", "review_count": 56, "reviews": "56 reviews", "location": "Paris", "property_type": "Entire rental unit", "beds": "2 beds", "baths": "1.5 baths", "guests": 4, "amenities": [ "Kitchen", "Wifi", "Air conditioning", "Smoke alarm", "Luggage drop-off allowed" ], "listing_url": "https://www.airbnb.com/rooms/1207192373682143660", "image_url": "https://a0.muscache.com/im/pictures/example.jpeg?im_w=720", "image_urls": [ "https://a0.muscache.com/im/pictures/example.jpeg?im_w=720" ], "review_texts": [ { "author": { "firstName": "Elizabeth", "id": "42823613", "pictureUrl": "" }, "comments": "Such a wonderful Parisian experience...", "createdAt": "2025-04-20T11:58:31.000Z", "rating": 5, "language": "en" } ], "reviews_preview": "Such a wonderful Parisian experience...", "scraped_at": 1774668747 } ``` ### Use cases - Market research for short-term rental listings in a city - Building destination comparison datasets - Tracking listing prices and availability-related metadata over time - Collecting amenity and review data for travel analytics workflows ### Tips - Keep `maxItems` moderate when also fetching `review_texts`, because detailed enrichment adds extra requests. - Provide `checkIn` and `checkOut` if you want price output tied to specific travel dates. - Use Apify Proxy in cloud runs to reduce blocking risk. - The actor prefers Airbnb API responses when available and falls back to browser-based scraping only when needed. # Actor input Schema ## `placeName` (type: `string`): Name of the destination to search on Airbnb (e.g., Paris, Tokyo, New York) ## `maxItems` (type: `integer`): Maximum number of destination listings to scrape ## `includeImages` (type: `boolean`): Whether to include listing images in the output ## `maxImagesPerListing` (type: `integer`): Maximum number of image URLs to store for each listing ## `includeReviewTexts` (type: `boolean`): Whether to fetch listing detail pages for review text snippets ## `maxReviewTexts` (type: `integer`): Maximum number of review snippets to include per listing ## `currency` (type: `string`): Currency to request for listing prices ## `checkIn` (type: `string`): Optional stay start date for pricing lookups. Supports YYYY-MM-DD or relative values like 30 days. ## `checkOut` (type: `string`): Optional stay end date for pricing lookups. Supports YYYY-MM-DD or relative values like 34 days. ## `proxyConfig` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "placeName": "Paris", "maxItems": 50, "includeImages": true, "maxImagesPerListing": 5, "includeReviewTexts": true, "maxReviewTexts": 3, "currency": "USD", "checkIn": "30 days", "checkOut": "34 days", "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): All scraped Airbnb listings stored in the default dataset. ## `input` (type: `string`): The exact actor input stored in the default key-value store. # 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 = { "placeName": "Paris", "currency": "USD", "checkIn": "30 days", "checkOut": "34 days", "proxyConfig": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("akash9078/airbnb-destinations-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 = { "placeName": "Paris", "currency": "USD", "checkIn": "30 days", "checkOut": "34 days", "proxyConfig": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("akash9078/airbnb-destinations-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 '{ "placeName": "Paris", "currency": "USD", "checkIn": "30 days", "checkOut": "34 days", "proxyConfig": { "useApifyProxy": true } }' | apify call akash9078/airbnb-destinations-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=akash9078/airbnb-destinations-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Destinations Scraper", "description": "Scrape Airbnb listings for a destination with prices, ratings, amenities, images, and optional review snippets.", "version": "1.0", "x-build-id": "EDkM53cE9cYdR2Bx4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/akash9078~airbnb-destinations-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-akash9078-airbnb-destinations-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/akash9078~airbnb-destinations-scraper/runs": { "post": { "operationId": "runs-sync-akash9078-airbnb-destinations-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/akash9078~airbnb-destinations-scraper/run-sync": { "post": { "operationId": "run-sync-akash9078-airbnb-destinations-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "placeName" ], "properties": { "placeName": { "title": "Destination Name", "type": "string", "description": "Name of the destination to search on Airbnb (e.g., Paris, Tokyo, New York)", "default": "Paris" }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of destination listings to scrape", "default": 50 }, "includeImages": { "title": "Include Images", "type": "boolean", "description": "Whether to include listing images in the output", "default": true }, "maxImagesPerListing": { "title": "Max Images Per Listing", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of image URLs to store for each listing", "default": 5 }, "includeReviewTexts": { "title": "Include Review Texts", "type": "boolean", "description": "Whether to fetch listing detail pages for review text snippets", "default": true }, "maxReviewTexts": { "title": "Max Review Texts", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of review snippets to include per listing", "default": 3 }, "currency": { "title": "Currency", "type": "string", "description": "Currency to request for listing prices", "default": "USD" }, "checkIn": { "title": "Check-In 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": "Optional stay start date for pricing lookups. Supports YYYY-MM-DD or relative values like 30 days." }, "checkOut": { "title": "Check-Out 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": "Optional stay end date for pricing lookups. Supports YYYY-MM-DD or relative values like 34 days." }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```