# Airbnb Scraper (`sheshinmcfly/airbnb-scraper`) Actor Search Airbnb listings by city with nightly price, host profile, full ratings breakdown, complete amenities list, and house rules. No login or API key needed -- add a location and get structured data ready for market research, price tracking, or lead generation. - **URL**: https://apify.com/sheshinmcfly/airbnb-scraper.md - **Developed by:** [Sheshinmcfly](https://apify.com/sheshinmcfly) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 Scraper Search Airbnb listings by city — price, host info, ratings breakdown, amenities, and house rules. No login, no account, no API key. Give it one or more cities, optional dates and guest count, and get back listings ready for market research, price monitoring, or lead generation. ### How to use 1. Add one or more **locations** (e.g. `Paris`, `New-York--NY`, `Barcelona`). 2. Optionally set **check-in/check-out dates**, **guests**, a **price range** per night, **room type**, **currency**, and **sort order**. 3. Turn on **include full listing details** for host info, amenities, house rules, and the per-category rating breakdown. 4. Set **max results per location** and run. ### Use cases - **Market research:** compare pricing, ratings, and amenities across neighborhoods or cities. - **Host/property intelligence:** track superhost status, review scores, and host tenure. - **Price monitoring:** watch nightly rates for a market or property type over time. - **Lead generation:** identify active hosts and property managers in a market. ### Output example ```json { "recordType": "listing", "listingId": "1707901397701161855", "url": "https://www.airbnb.com/rooms/1707901397701161855", "title": "Apartment in Paris", "propertyType": "Entire rental unit", "price": "$894", "priceQualifier": "for 5 nights", "personCapacity": 2, "latitude": 48.86939, "longitude": 2.3011, "starRating": 5, "reviewCount": 1, "ratingAccuracy": 5, "ratingCleanliness": 5, "ratingCommunication": 5, "ratingLocation": 5, "ratingValue": 5, "isSuperhost": false, "hostName": "Anne", "hostIsSuperhost": false, "hostRating": 4.57, "hostReviewCount": 4120, "hostYearsHosting": 8, "amenitiesCount": 44, "amenities": [{"title": "Kitchen", "available": true}, {"title": "Wifi", "available": true}], "houseRules": ["Check-in after 3:00 PM", "Checkout before 10:00 AM", "2 guests maximum"], "searchLocation": "Paris" } ```` ### Performance & cost Built for speed: dozens of listings per location in well under a minute, even with full listing details enabled — no long waits for large jobs. ### Pricing This actor uses **pay-per-result** pricing — you are charged per listing returned. See the pricing shown on the actor page. ### Keywords airbnb scraper, airbnb data, vacation rental scraper, short-term rental data, airbnb listings api, host data scraper, airbnb price scraper, superhost data ### Related actors - [Eventbrite Events Scraper](https://apify.com/sheshinmcfly/eventbrite-scraper) - [Google Maps Scraper](https://apify.com/sheshinmcfly/google-maps-scraper) - [Rightmove Scraper](https://apify.com/sheshinmcfly/rightmove-scraper) ### Disclaimer This actor collects only publicly available listing data from Airbnb. Use the data in compliance with the applicable terms and with data-protection laws in your jurisdiction. ### Changelog | Version | Date | Changes | |---|---|---| | 1.0 | 2026-07-14 | Initial release — listings with price, host, ratings breakdown, amenities, and house rules | # Actor input Schema ## `locations` (type: `array`): Cities to search (e.g. 'Paris', 'New-York--NY', 'Barcelona'). ## `checkin` (type: `string`): Format YYYY-MM-DD. Leave empty for no date filter. ## `checkout` (type: `string`): Format YYYY-MM-DD. Leave empty for no date filter. ## `adults` (type: `integer`): Number of adult guests. ## `children` (type: `integer`): Number of child guests. ## `priceMin` (type: `integer`): Only include listings priced at or above this nightly rate. ## `priceMax` (type: `integer`): Only include listings priced at or below this nightly rate. ## `roomTypes` (type: `array`): Filter by property type. Valid values: 'Entire home/apt', 'Private room', 'Shared room', 'Hotel room'. ## `currency` (type: `string`): 3-letter currency code for prices (e.g. USD, EUR, GBP). Defaults to USD. ## `locale` (type: `string`): Language/locale code (e.g. en, es, fr, pt). Defaults to English. ## `sortBy` (type: `string`): Sort results by price or rating. ## `maxResultsPerLocation` (type: `integer`): Maximum number of listings to return per location. ## `includeListingDetails` (type: `boolean`): Fetch host info, amenities, house rules, and rating breakdown for each listing (adds one extra request per listing — slower and increases usage). ## Actor input object example ```json { "locations": [ "Paris" ], "maxResultsPerLocation": 20, "includeListingDetails": false } ``` # Actor output Schema ## `dataset` (type: `string`): All extracted listing records. # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sheshinmcfly/airbnb-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 = { "locations": ["Paris"] } # Run the Actor and wait for it to finish run = client.actor("sheshinmcfly/airbnb-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 '{ "locations": [ "Paris" ] }' | apify call sheshinmcfly/airbnb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sheshinmcfly/airbnb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Scraper", "description": "Search Airbnb listings by city with nightly price, host profile, full ratings breakdown, complete amenities list, and house rules. No login or API key needed -- add a location and get structured data ready for market research, price tracking, or lead generation.", "version": "1.0", "x-build-id": "vrU81YhEA7gGMBnSK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sheshinmcfly~airbnb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sheshinmcfly-airbnb-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sheshinmcfly~airbnb-scraper/runs": { "post": { "operationId": "runs-sync-sheshinmcfly-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sheshinmcfly~airbnb-scraper/run-sync": { "post": { "operationId": "run-sync-sheshinmcfly-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "locations" ], "properties": { "locations": { "title": "Locations", "type": "array", "description": "Cities to search (e.g. 'Paris', 'New-York--NY', 'Barcelona').", "items": { "type": "string" } }, "checkin": { "title": "Check-in date", "type": "string", "description": "Format YYYY-MM-DD. Leave empty for no date filter." }, "checkout": { "title": "Check-out date", "type": "string", "description": "Format YYYY-MM-DD. Leave empty for no date filter." }, "adults": { "title": "Adults", "type": "integer", "description": "Number of adult guests." }, "children": { "title": "Children", "type": "integer", "description": "Number of child guests." }, "priceMin": { "title": "Min price per night (USD)", "type": "integer", "description": "Only include listings priced at or above this nightly rate." }, "priceMax": { "title": "Max price per night (USD)", "type": "integer", "description": "Only include listings priced at or below this nightly rate." }, "roomTypes": { "title": "Room types", "type": "array", "description": "Filter by property type. Valid values: 'Entire home/apt', 'Private room', 'Shared room', 'Hotel room'.", "items": { "type": "string" } }, "currency": { "title": "Currency", "type": "string", "description": "3-letter currency code for prices (e.g. USD, EUR, GBP). Defaults to USD." }, "locale": { "title": "Locale", "type": "string", "description": "Language/locale code (e.g. en, es, fr, pt). Defaults to English." }, "sortBy": { "title": "Sort by", "enum": [ "price_asc", "price_desc", "rating_desc" ], "type": "string", "description": "Sort results by price or rating." }, "maxResultsPerLocation": { "title": "Max results per location", "minimum": 1, "type": "integer", "description": "Maximum number of listings to return per location.", "default": 20 }, "includeListingDetails": { "title": "Include full listing details", "type": "boolean", "description": "Fetch host info, amenities, house rules, and rating breakdown for each listing (adds one extra request per listing — slower and increases usage).", "default": false } } }, "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 } } } } } } } } } } ```