# Booking.com Hotels & Prices Scraper — Dynamic Pricing (`logiover/booking-hotels-prices-scraper`) Actor Scrape Booking.com hotel listings, nightly prices, reviews, and availability by destination and date range. Returns hotel name, price, star rating, review score, distance from center, photos, room types. Uses Playwright + residential proxy to bypass Booking's in-house anti-bot challenge. - **URL**: https://apify.com/logiover/booking-hotels-prices-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Automation, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 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 ## Booking.com Hotels & Prices Scraper Scrape hotel listings, nightly prices, ratings, and availability from **booking.com** by destination + check-in/out dates. ### Features - Bulk search by `{destination, checkin, checkout, adults, rooms}` tuples - Returns hotel name, Booking URL, star rating, review score + count, address, distance from center, price (display + parsed amount + currency), original price (before discount), room type, photo, free cancellation / breakfast included flags - Paginates 25 hotels/page via `offset=` query string - Currency localization (EUR / USD / GBP / etc.) - Multi-language support via Booking subdomain selector - Uses Playwright + Apify residential proxy + fingerprint rotation to defeat Booking's in-house anti-bot challenge ### Input ```json { "searches": [ { "destination": "Paris", "checkin": "2026-07-01", "checkout": "2026-07-02", "adults": 2, "rooms": 1 }, { "destination": "Amsterdam", "checkin": "2026-09-10", "checkout": "2026-09-12", "adults": 1, "rooms": 1 } ], "maxHotelsPerSearch": 25, "currency": "EUR", "languageCountry": "en-us", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Default | Notes | |---|---|---|---| | `searches` | array | (required) | `{destination, checkin, checkout, adults, rooms}` | | `maxHotelsPerSearch` | int | 25 | Paginates 25 at a time | | `currency` | string | `EUR` | ISO 4217 | | `languageCountry` | string | `en-us` | Booking subdomain lang tag | | `proxyConfig` | object | residential | **Required** — datacenter IPs blocked | ### Output One row per hotel result: ```json { "hotelId": "le-marais-paris", "name": "Hôtel du Marais", "hotelUrl": "https://www.booking.com/hotel/fr/le-marais-paris.html?checkin=2026-07-01&...", "starRating": 3, "reviewScore": 8.4, "reviewScoreText": "Very Good", "reviewCount": 1287, "address": "75004 Paris, France", "distanceFromCenter": "0.8 km from center", "priceDisplay": "€ 142", "priceAmount": 142.0, "priceCurrency": "€", "priceBeforeDiscount": 168.0, "roomType": "Double Room", "photoUrl": "https://cf.bstatic.com/.../...jpg", "freeCancellation": true, "breakfastIncluded": false, "searchDestination": "Paris", "searchCheckin": "2026-07-01", "searchCheckout": "2026-07-02", "searchAdults": 2, "searchRooms": 1, "scrapedAt": "2026-05-18T12:00:00.000Z" } ``` ### Use cases - **Dynamic pricing / revenue management:** monitor competitor pricing across destinations - **Travel arbitrage:** identify price gaps between OTAs (compare with Expedia, Hotels.com scrapers) - **Hospitality analytics:** review-volume / score / star-rating distribution per city - **Market entry research:** what's the price floor for a 3\* hotel in Vienna in low season? ### Notes - **Booking ships an in-house JS bot challenge** (~1.4 MB obfuscated). The actor uses Playwright to actually execute it, with one IP per request and a fresh browser fingerprint each time. Expect occasional retries. - **Residential proxy is mandatory.** Datacenter IPs are blocked at the challenge layer; even cold residential IPs sometimes get challenged. Crawlee's session pool retires on block automatically. - **One concurrent browser per actor run** — going parallel would burn through your IP pool. If you need bulk throughput, run multiple actor instances with different proxy countries. - **DOM-scraping** uses Booking's stable `data-testid` attributes — degrades gracefully when they tweak class names but breaks if they rename a testid (rare, ~quarterly). - **Date format:** `YYYY-MM-DD` required for `checkin`/`checkout`. *** ### Changelog - **2026-05-20** — Maintenance pass: reviewed the input schema and default values for a smooth one-click start, and rebuilt the Actor on the latest base image. *Last reviewed: 2026-05-20.* # Actor input Schema ## `searches` (type: `array`): List of {destination, checkin, checkout, adults, rooms} objects. checkin/checkout in YYYY-MM-DD. Each entry runs as a separate search. ## `maxHotelsPerSearch` (type: `integer`): Booking returns 25 hotels per page. Set higher to paginate further. ## `currency` (type: `string`): ISO 4217 currency code for prices (EUR, USD, GBP, etc.). Booking will localize the displayed price. ## `languageCountry` (type: `string`): Booking subdomain language tag, e.g. 'en-us', 'en-gb', 'de', 'fr'. Affects which version of Booking is queried. ## `proxyConfig` (type: `object`): REQUIRED: Booking ships an in-house JS bot challenge — datacenter IPs blocked, cold residential IPs challenged. Use residential proxy + accept some retries. ## Actor input object example ```json { "searches": [ { "destination": "Berlin", "checkin": "2026-08-15", "checkout": "2026-08-17", "adults": 2, "rooms": 1 }, { "destination": "Amsterdam", "checkin": "2026-09-10", "checkout": "2026-09-12", "adults": 1, "rooms": 1 } ], "maxHotelsPerSearch": 25, "currency": "EUR", "languageCountry": "en-us", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `name` (type: `string`): Hotel name ## `starRating` (type: `string`): Star rating (1-5) ## `reviewScore` (type: `string`): Booking score (0-10) ## `reviewCount` (type: `string`): Total reviews ## `priceDisplay` (type: `string`): Price as displayed ## `address` (type: `string`): Hotel address ## `hotelUrl` (type: `string`): Booking.com hotel page ## `scrapedAt` (type: `string`): ISO timestamp # 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 = { "searches": [ { "destination": "Paris", "checkin": "2026-07-01", "checkout": "2026-07-02", "adults": 2, "rooms": 1 } ], "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/booking-hotels-prices-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 = { "searches": [{ "destination": "Paris", "checkin": "2026-07-01", "checkout": "2026-07-02", "adults": 2, "rooms": 1, }], "proxyConfig": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("logiover/booking-hotels-prices-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 '{ "searches": [ { "destination": "Paris", "checkin": "2026-07-01", "checkout": "2026-07-02", "adults": 2, "rooms": 1 } ], "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call logiover/booking-hotels-prices-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/booking-hotels-prices-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotels & Prices Scraper — Dynamic Pricing", "description": "Scrape Booking.com hotel listings, nightly prices, reviews, and availability by destination and date range. Returns hotel name, price, star rating, review score, distance from center, photos, room types. Uses Playwright + residential proxy to bypass Booking's in-house anti-bot challenge.", "version": "0.0", "x-build-id": "ALmz9sd2RxQouWA9C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~booking-hotels-prices-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-booking-hotels-prices-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~booking-hotels-prices-scraper/runs": { "post": { "operationId": "runs-sync-logiover-booking-hotels-prices-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~booking-hotels-prices-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-booking-hotels-prices-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searches" ], "properties": { "searches": { "title": "Searches", "type": "array", "description": "List of {destination, checkin, checkout, adults, rooms} objects. checkin/checkout in YYYY-MM-DD. Each entry runs as a separate search." }, "maxHotelsPerSearch": { "title": "Max Hotels per Search", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Booking returns 25 hotels per page. Set higher to paginate further.", "default": 25 }, "currency": { "title": "Currency", "type": "string", "description": "ISO 4217 currency code for prices (EUR, USD, GBP, etc.). Booking will localize the displayed price.", "default": "EUR" }, "languageCountry": { "title": "Language / Country", "type": "string", "description": "Booking subdomain language tag, e.g. 'en-us', 'en-gb', 'de', 'fr'. Affects which version of Booking is queried.", "default": "en-us" }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "REQUIRED: Booking ships an in-house JS bot challenge — datacenter IPs blocked, cold residential IPs challenged. Use residential proxy + accept some retries." } } }, "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 } } } } } } } } } } ```