# Booking Hotel Availability Monitor · Day-by-Day (`corent1robert/booking-availability-monitor`) Actor Paste Booking.com hotel URLs — get a day-by-day availability calendar with prices, free cancellation flags, and promo detection for up to 180 days ahead. No login needed. - **URL**: https://apify.com/corent1robert/booking-availability-monitor.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Travel, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 hotel availability calendar retrieveds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Booking Availability Monitor · Hotel Calendar Tracker Track day-by-day availability and nightly rates for Booking.com hotels — up to 180 days ahead. Paste a hotel URL, a city search URL, or both. Get a full availability calendar per hotel with prices, free cancellation flags, and promo detection. **No login. No API key. No Booking.com account needed.** --- ### Who is this for? | You are… | Typical goal | Suggested setup | |---|---|---| | **Travel agency** | Check whether specific hotels have rooms for a client's dates | Paste hotel URLs, set `lookAheadDays` to cover the travel window | | **Revenue manager** | Monitor your own property's open dates and rack rates | Paste your hotel URL, schedule daily | | **Event planner** | Find hotels open across a block of 7–14 dates for a group | Paste hotel URLs + search URL for the city | | **Competitor analyst** | Map market-wide occupancy and rate trends in a resort | Paste a Booking.com search URL for the market | | **Deal hunter** | Know when a sold-out hotel reopens or drops its price | Single hotel URL, scheduled weekly | By default you get: hotel name, availability calendar (available/not + nightly rate per day), summary stats (avg/min/max price, occupancy rate), free cancellation and promo flags. --- ### Quick start #### Option A — Monitor specific hotels 1. Open any hotel on [booking.com](https://www.booking.com) and copy its URL — e.g. `https://www.booking.com/hotel/fr/novotel-paris-tour-eiffel.html` 2. Paste it into **Booking.com URLs** 3. Set **Days to look ahead** and **Number of adults** 4. Click **Start** #### Option B — Monitor an entire market 1. Go to [booking.com](https://www.booking.com), search for a city, apply any filters (stars, property type…) 2. Copy the search result URL from your browser — e.g. `https://www.booking.com/searchresults.html?ss=Marbella%2C+Spain` 3. Paste it into **Booking.com URLs** 4. Click **Start** — the actor collects all hotels from the search, then fetches a full calendar for each > You can mix hotel URLs and search URLs in the same run. Duplicates are removed automatically. --- ### What you get #### Overview (one row per hotel) | Field | Description | |---|---| | `hotelName` | Hotel name from Booking.com | | `hotelId` | Internal Booking.com property ID | | `checkFrom` / `checkTo` | Date range checked | | `availableDays` | Days with rooms available and a listed price | | `totalDays` | Total days checked | | `occupancyRate` | % of days with no available rooms | | `firstAvailableDate` | Earliest bookable date | | `lastAvailableDate` | Latest bookable date | | `avgPricePerNight` | Average nightly rate across available dates | | `minPricePerNight` | Lowest nightly rate in the window | | `maxPricePerNight` | Peak nightly rate in the window | | `currency` | Currency of all prices | #### Calendar (nested in each row — `calendar` array) | Field | Description | |---|---| | `date` | Check-in date (YYYY-MM-DD) | | `available` | `true` if rooms are available and priced | | `pricePerNight` | Nightly rate for that date | | `currency` | Currency | | `freeCancellation` | `true` if free cancellation is offered | | `hasPromo` | `true` if a promotional badge is present | --- ### Example output ```json { "hotelName": "Don Carlos Marbella", "hotelId": 93697, "hotelUrl": "https://www.booking.com/hotel/es/don-carlos-beach-golf-resort.html", "checkFrom": "2026-06-15", "checkTo": "2026-07-14", "availableDays": 25, "totalDays": 30, "occupancyRate": 16.67, "firstAvailableDate": "2026-06-15", "lastAvailableDate": "2026-07-13", "avgPricePerNight": 575.91, "minPricePerNight": 489.0, "maxPricePerNight": 643.77, "currency": "EUR", "nbAdults": 2, "calendar": [ { "date": "2026-06-15", "available": true, "pricePerNight": 575.0, "currency": "EUR", "hasPromo": false, "freeCancellation": false }, { "date": "2026-06-16", "available": false, "pricePerNight": null, "currency": null, "hasPromo": false, "freeCancellation": false } ] } ```` *** ### Set up automated availability alerts Most users run this actor on a daily or weekly schedule to detect when sold-out hotels become available or when prices drop. **Step 1 — Schedule the run** In the Apify Console, open this actor → click **Schedule** → set frequency (daily at 08:00 is a good default). **Step 2 — Add a webhook** Go to **Integrations** → **Webhooks** → create one that fires on `RUN_SUCCEEDED`. Send results to Slack, email, or your own endpoint. **Step 3 — Compare runs over time** Each run produces a dataset. Export to Google Sheets or a database to track occupancy and price trends day over day. *** ### How much does it cost to use Booking Availability Monitor? This actor uses **pay-per-event pricing** — you pay per hotel availability calendar retrieved. Compute is cheap (HTTP-only, no browser). | Scenario | Hotels | FREE | GOLD | |---|---|---|---| | Quick test — 2 specific hotels, 30 days | 2 | ~$0.07 | ~$0.06 | | Small market — 20 hotels, 14 days | 20 | ~$0.25 | ~$0.17 | | Full market — 50 hotels, 30 days | 50 | ~$0.55 | ~$0.35 | | Large market — 200 hotels, 30 days | 200 | ~$2.05 | ~$1.25 | **Pricing tiers per hotel calendar (subscribers pay less):** | Tier | Per hotel | Run start | |---|---|---| | FREE | $0.010 | $0.05 | | BRONZE | $0.009 | $0.05 | | SILVER | $0.007 | $0.05 | | GOLD | $0.006 | $0.05 | | PLATINUM / DIAMOND | $0.005 | $0.05 | No residential proxy needed — HTTP-only access to Booking.com's data layer. *** ### Input reference | Field | Type | Default | Description | |---|---|---|---| | `urls` | string\[] | — | Booking.com hotel page URLs or search result URLs (auto-detected) | | `lookAheadDays` | integer | 30 | Days to check ahead (1–180) | | `nbAdults` | integer | 2 | Adults per room (affects pricing) | | `proxyConfiguration` | object | auto | Apify Proxy (required on cloud) | API-only field (not shown in Console): | Field | Type | Default | Description | |---|---|---|---| | `verboseLogs` | boolean | false | Log each date result individually | *** ### Notes - **Sold out vs closed**: `available: false` means either no rooms are listed at that price point, or the hotel enforces a minimum stay that excludes 1-night bookings. - **Currency**: prices are in the currency Booking.com shows for the proxy location. Majority-currency filtering prevents mixed-currency averages. - **Hotel URL format**: must be a direct hotel page — `booking.com/hotel//.html`. Dates in the URL are ignored; the actor always queries from today. - **Search URL**: any Booking.com search page URL works. Filters (stars, property type, neighbourhood…) are preserved automatically. - **No browser required**: HTTP-only. Fast and memory-efficient (512 MB). *** ### Is it legal to scrape Booking.com? This actor only accesses data that Booking.com makes publicly available to any visitor without a login. It does not bypass authentication, collect personal data, or perform actions a human user could not do manually. Ensure your use complies with Booking.com's terms of service, GDPR, and any applicable regulations. *** ### Also available - **[Booking.com Hotel Search Scraper](https://apify.com/corentinrobert/booking-hotel-search)** — Search any destination and export all hotels with prices, ratings, policies, and coordinates. Beats the 1,000 result cap. - **[Booking.com Price Monitor](https://apify.com/corentinrobert/booking-price-monitor)** — Track rate trends for a market across 5 upcoming date windows (avg, min, max, discounts). *** ### Local development ```bash cd booking-availability-monitor npm install ## Edit storage/key_value_stores/default/INPUT.json to match input_schema prefill apify run ## Or use a custom input: apify run --input-file=./input.json ``` `storage/key_value_stores/default/INPUT.json` must include the `urls` field (required). The root `input.json` is for heavy local presets — it is ignored by `apify run` unless `--input-file` is used. # Actor input Schema ## `urls` (type: `array`): Paste any Booking.com URL — hotel pages, search results, or both. **Hotel page** → monitors that specific hotel: `https://www.booking.com/hotel/fr/novotel-paris-tour-eiffel.html` **Search result** → monitors every hotel in the market: `https://www.booking.com/searchresults.html?ss=Marbella%2C+Spain` You can mix both types. The actor auto-detects each URL. ## `lookAheadDays` (type: `integer`): Number of upcoming days to check for availability and pricing. - **7** (prefill) — quick Try on Apify Console (~30 s per hotel) - **14** — two weeks ahead (~3 s per hotel) - **30** — one month (default for production) - **90** — three months (~15 s per hotel) - **180** — six months (~30 s per hotel) ## `maxHotelsFromSearch` (type: `integer`): When a **search result URL** is provided, cap how many hotels are collected from that market. - **5** — quick sample - **0** — no cap (full market — set a longer **Run timeout** in Run options) ## `nbAdults` (type: `integer`): Adults per room used to query prices. Use the same value you would enter on Booking.com — it affects availability and nightly rates. ## Actor input object example ```json { "urls": [ "https://www.booking.com/hotel/fr/royal-saint-michel.html" ], "lookAheadDays": 7, "maxHotelsFromSearch": 5, "nbAdults": 2 } ``` # Actor output Schema ## `defaultDatasetUrl` (type: `string`): Full availability calendar dataset. ## `overviewDatasetUrl` (type: `string`): Slim overview view (per-hotel summary only). ## `runLogUrl` (type: `string`): Structured run summary with hotels processed, dates checked, and timing. # 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 = { "urls": [ "https://www.booking.com/hotel/fr/royal-saint-michel.html" ], "lookAheadDays": 7, "maxHotelsFromSearch": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/booking-availability-monitor").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 = { "urls": ["https://www.booking.com/hotel/fr/royal-saint-michel.html"], "lookAheadDays": 7, "maxHotelsFromSearch": 5, } # Run the Actor and wait for it to finish run = client.actor("corent1robert/booking-availability-monitor").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 '{ "urls": [ "https://www.booking.com/hotel/fr/royal-saint-michel.html" ], "lookAheadDays": 7, "maxHotelsFromSearch": 5 }' | apify call corent1robert/booking-availability-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/booking-availability-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Hotel Availability Monitor · Day-by-Day", "description": "Paste Booking.com hotel URLs — get a day-by-day availability calendar with prices, free cancellation flags, and promo detection for up to 180 days ahead. No login needed.", "version": "1.2", "x-build-id": "DPLqAuHG2wpFNP7ki" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~booking-availability-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-booking-availability-monitor", "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/corent1robert~booking-availability-monitor/runs": { "post": { "operationId": "runs-sync-corent1robert-booking-availability-monitor", "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/corent1robert~booking-availability-monitor/run-sync": { "post": { "operationId": "run-sync-corent1robert-booking-availability-monitor", "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": [ "urls" ], "properties": { "urls": { "title": "Booking.com URLs", "type": "array", "description": "Paste any Booking.com URL — hotel pages, search results, or both.\n\n**Hotel page** → monitors that specific hotel:\n`https://www.booking.com/hotel/fr/novotel-paris-tour-eiffel.html`\n\n**Search result** → monitors every hotel in the market:\n`https://www.booking.com/searchresults.html?ss=Marbella%2C+Spain`\n\nYou can mix both types. The actor auto-detects each URL.", "items": { "type": "string" } }, "lookAheadDays": { "title": "Days to look ahead", "minimum": 1, "maximum": 180, "type": "integer", "description": "Number of upcoming days to check for availability and pricing.\n\n- **7** (prefill) — quick Try on Apify Console (~30 s per hotel)\n- **14** — two weeks ahead (~3 s per hotel)\n- **30** — one month (default for production)\n- **90** — three months (~15 s per hotel)\n- **180** — six months (~30 s per hotel)", "default": 30 }, "maxHotelsFromSearch": { "title": "Max hotels from search URLs", "minimum": 0, "type": "integer", "description": "When a **search result URL** is provided, cap how many hotels are collected from that market.\n\n- **5** — quick sample\n- **0** — no cap (full market — set a longer **Run timeout** in Run options)", "default": 0 }, "nbAdults": { "title": "Number of adults", "minimum": 1, "maximum": 6, "type": "integer", "description": "Adults per room used to query prices. Use the same value you would enter on Booking.com — it affects availability and nightly rates.", "default": 2 } } }, "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 } } } } } } } } } } ```