# Booking.com GraphQL Hotel Scraper (`saadmohsin/booking-com-graphql`) Actor Use Booking.com’s private GraphQL FullSearch API to extract rich hotel data, prices, availability, images, facilities, geolocation, surroundings (POIs), review sub‑scores and more—in structured JSON or CSV. - **URL**: https://apify.com/saadmohsin/booking-com-graphql.md - **Developed by:** [Saad Mohsin](https://apify.com/saadmohsin) (community) - **Categories:** Developer tools, Automation, Travel - **Stats:** 29 total users, 2 monthly users, 78.9% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $20.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## 🏨 Booking.com Hotel Scraper (GraphQL) **A blazing fast Booking.com hotel data scraper using their internal GraphQL API.** Extract real-time hotel listings, room types, prices, availability, guest capacity, and addresses for any location and date range. --- ### 🚀 Why use this scraper? ✅ No browser overhead – uses direct API calls ✅ Ultra-fast pagination and low failure rate ✅ Accurate data from Booking.com's internal GraphQL endpoint ✅ Includes hotel, room, and pricing data in a single run ✅ Built for developers, data teams, and travel automation --- ### 📥 Input Provide three fields: ```json { "location": "Paris", "checkinDate": "2025-09-10", "checkoutDate": "2025-09-12" } ```` | Field | Type | Description | |---------------|--------|----------------------------------------------| | `location` | string | City or region (e.g. "London", "Dubai") | | `checkinDate` | string | Format: `YYYY-MM-DD` | | `checkoutDate`| string | Format: `YYYY-MM-DD` | *** ### 📦 Output Each record in the dataset includes: ```json { "hotel": "Hilton Paris Opera", "room_type": "Queen Guest Room", "price": "$230", "options": "Free cancellation, Breakfast included", "max_rooms_available": 5, "max_guests": 2, "checkin_date": "2025-09-10", "checkout_date": "2025-09-12", "address": "108 Rue Saint-Lazare, Paris", "city": "Paris", "country": "France", "link": "https://www.booking.com/hotel/fr/hilton-paris-opera.html" } ``` *** ### 🧠 Use Cases - 🛎️ Travel agency data collection - 📊 Price monitoring for dynamic pricing engines - 🔎 Competitor research for hotel aggregators - 📅 Event planning or holiday analytics - 📈 Real-time dashboard for availability tracking *** ### 🛠️ How It Works This actor uses the **Booking.com internal GraphQL API** to directly retrieve hotel search results. It resolves the destination ID based on your input, paginates through results, and extracts key fields. **No browser, CAPTCHA, or rendering required. Just clean JSON.** *** ### 🔄 Example Workflow Want to automate this? Try combining this actor with: - [Google Sheets Export](https://apify.com/drobnikj/csv-to-google-sheets) - [Email Notifications](https://apify.com/apify/send-email) - [Slack Alerts](https://apify.com/apify/send-to-slack) *** ### 📈 Scaling - Supports 1,000+ results per location - Handles high-speed scraping without being blocked - Global coverage — works with any country or city on Booking.com *** ### 📬 Support Need custom filters (e.g. min price, star rating, guest count)?\ Want a private endpoint or dashboard? > 👨‍💻 Built by [Paroopia Tech](https://paroopiatech.com) — automation and data intelligence experts.\ > 📧 Email: saad@paroopiatech.com *** ### ✅ Tags `booking.com`, `graphql`, `hotel scraper`, `price scraper`, `availability`, `vacation`, `data automation`, `rooms`, `travel` # Actor input Schema ## `location` (type: `string`): Destination to search (e.g. city or hotel name). ## `checkinDate` (type: `string`): Check‑in date in YYYY‑MM‑DD format. ## `checkoutDate` (type: `string`): Check‑out date in YYYY‑MM‑DD format. ## `adults` (type: `integer`): Number of adults. ## `rooms` (type: `integer`): Number of rooms. ## Actor input object example ```json { "adults": 2, "rooms": 1 } ``` # Actor output Schema # 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("saadmohsin/booking-com-graphql").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("saadmohsin/booking-com-graphql").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 saadmohsin/booking-com-graphql --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saadmohsin/booking-com-graphql", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com GraphQL Hotel Scraper", "description": "Use Booking.com’s private GraphQL FullSearch API to extract rich hotel data, prices, availability, images, facilities, geolocation, surroundings (POIs), review sub‑scores and more—in structured JSON or CSV.", "version": "1.0", "x-build-id": "9unwrYl1wua3MckZQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saadmohsin~booking-com-graphql/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saadmohsin-booking-com-graphql", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saadmohsin~booking-com-graphql/runs": { "post": { "operationId": "runs-sync-saadmohsin-booking-com-graphql", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saadmohsin~booking-com-graphql/run-sync": { "post": { "operationId": "run-sync-saadmohsin-booking-com-graphql", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "checkinDate", "checkoutDate" ], "properties": { "location": { "title": "Location", "type": "string", "description": "Destination to search (e.g. city or hotel name)." }, "checkinDate": { "title": "Check‑in Date", "type": "string", "description": "Check‑in date in YYYY‑MM‑DD format." }, "checkoutDate": { "title": "Check‑out Date", "type": "string", "description": "Check‑out date in YYYY‑MM‑DD format." }, "adults": { "title": "Adults", "type": "integer", "description": "Number of adults.", "default": 2 }, "rooms": { "title": "Rooms", "type": "integer", "description": "Number of rooms.", "default": 1 } } }, "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 } } } } } } } } } } ```