# Airbnb Hotel Price Scraper (`oneary/airbnb-hotel-price-scraper`) Actor 🏡 Scrape Airbnb listings with granular detail — nightly rates, availability calendars, amenities, host info, and review scores. Monitor pricing trends, analyze short-term rental markets, and build competitive intelligence for any city worldwide. Perfect for revenue managers, real estate in - **URL**: https://apify.com/oneary/airbnb-hotel-price-scraper.md - **Developed by:** [Luan M.](https://apify.com/oneary) (community) - **Categories:** Travel - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00 / 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 & Hotel Price Scraper An [Apify Actor](https://apify.com/actors) for scraping Airbnb listings and hotel prices using [Crawlee](https://crawlee.dev/) with [Playwright](https://playwright.dev/). ### Features - **Comprehensive data extraction**: listing name, price, currency, rating, review count, location, amenities, host name, photos, availability, room type, bedrooms, bathrooms, cancellation policy, URL - **Dual mode**: search page scraping + detail page enrichment - **Configurable filters**: location, dates, guests, price range - **Proxy support**: uses Apify residential proxies to avoid IP blocks - **Pagination handling**: automatically navigates through search result pages ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `startUrls` | array | `[]` | Airbnb search URLs to start from | | `location` | string | `Honolulu, HI, United States` | Search location (used if startUrls empty) | | `checkIn` | string | `""` | Check-in date (YYYY-MM-DD) | | `checkOut` | string | `""` | Check-out date (YYYY-MM-DD) | | `guests` | integer | `1` | Number of guests | | `minPrice` | integer | `0` | Minimum price per night (USD) | | `maxPrice` | integer | `1000` | Maximum price per night (USD) | | `maxListings` | integer | `50` | Max listings to scrape (0 = unlimited) | | `proxyConfiguration` | object | Apify Residential | Proxy configuration | ### Output Fields Each scraped listing contains: | Field | Type | Description | |-------|------|-------------| | `name` | string | Listing name/title | | `price` | number | Price per night | | `currency` | string | Currency symbol | | `rating` | number | Star rating (0-5) | | `reviewCount` | number | Number of reviews | | `location` | string | Neighborhood/location | | `amenities` | array | List of amenities | | `hostName` | string | Host name | | `photos` | array | Photo URLs | | `availability` | string | Availability status | | `roomType` | string | Room type (e.g., Entire home, Private room) | | `bedrooms` | number | Number of bedrooms | | `bathrooms` | number | Number of bathrooms | | `cancellationPolicy` | string | Cancellation policy | | `url` | string | Listing URL | ### Local Development ```bash ## Install dependencies npm install ## Install Playwright browsers npx playwright install chromium ## Run locally (requires Apify token) APIFY_TOKEN=your_token APIFY_LOCAL_STORAGE_DIR=./storage node src/main.js ```` ### Deployment Deploy to Apify Console or use the Apify CLI: ```bash npx apify-cli push ``` ### Tech Stack - **Node.js** >= 18 - **Crawlee** — web scraping framework - **Playwright** — browser automation - **Apify SDK** — actor lifecycle & proxy management - **ES Modules** — modern JavaScript ### License MIT # Actor input Schema ## `startUrls` (type: `array`): List of Airbnb search result page URLs to start scraping from. If empty, the actor will construct URLs from location, checkIn, checkOut, and guests. ## `location` (type: `string`): Search location (e.g., 'Paris, France', 'Tokyo, Japan', 'New York, NY'). Used when startUrls is empty. ## `checkIn` (type: `string`): Check-in date in YYYY-MM-DD format. Leave empty if not needed. ## `checkOut` (type: `string`): Check-out date in YYYY-MM-DD format. Leave empty if not needed. ## `guests` (type: `integer`): Number of guests for pricing. ## `minPrice` (type: `integer`): Minimum price filter in USD per night. ## `maxPrice` (type: `integer`): Maximum price filter in USD per night. ## `maxListings` (type: `integer`): Maximum number of listings to scrape. Set to 0 for unlimited. ## `proxyConfiguration` (type: `object`): Apify proxy configuration for avoiding IP blocks. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.airbnb.com/s/Honolulu--HI--United-States/homes" } ], "location": "Honolulu, HI, United States", "checkIn": "", "checkOut": "", "guests": 1, "minPrice": 0, "maxPrice": 1000, "maxListings": 10, "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 = { "startUrls": [ { "url": "https://www.airbnb.com/s/Honolulu--HI--United-States/homes" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("oneary/airbnb-hotel-price-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 = { "startUrls": [{ "url": "https://www.airbnb.com/s/Honolulu--HI--United-States/homes" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("oneary/airbnb-hotel-price-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 '{ "startUrls": [ { "url": "https://www.airbnb.com/s/Honolulu--HI--United-States/homes" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call oneary/airbnb-hotel-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oneary/airbnb-hotel-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Hotel Price Scraper", "description": "🏡 Scrape Airbnb listings with granular detail — nightly rates, availability calendars, amenities, host info, and review scores. Monitor pricing trends, analyze short-term rental markets, and build competitive intelligence for any city worldwide. Perfect for revenue managers, real estate in", "version": "0.1", "x-build-id": "rfac8IYwq2AuWYeYk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oneary~airbnb-hotel-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oneary-airbnb-hotel-price-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oneary~airbnb-hotel-price-scraper/runs": { "post": { "operationId": "runs-sync-oneary-airbnb-hotel-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oneary~airbnb-hotel-price-scraper/run-sync": { "post": { "operationId": "run-sync-oneary-airbnb-hotel-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of Airbnb search result page URLs to start scraping from. If empty, the actor will construct URLs from location, checkIn, checkOut, and guests.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "location": { "title": "Location", "type": "string", "description": "Search location (e.g., 'Paris, France', 'Tokyo, Japan', 'New York, NY'). Used when startUrls is empty.", "default": "Honolulu, HI, United States" }, "checkIn": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format. Leave empty if not needed.", "default": "" }, "checkOut": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format. Leave empty if not needed.", "default": "" }, "guests": { "title": "Number of Guests", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of guests for pricing.", "default": 1 }, "minPrice": { "title": "Minimum Price (per night)", "minimum": 0, "type": "integer", "description": "Minimum price filter in USD per night.", "default": 0 }, "maxPrice": { "title": "Maximum Price (per night)", "minimum": 0, "type": "integer", "description": "Maximum price filter in USD per night.", "default": 1000 }, "maxListings": { "title": "Max Listings to Scrape", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of listings to scrape. Set to 0 for unlimited.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration for avoiding IP blocks.", "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 } } } } } } } } } } ```