# Booking.com Attractions Search Scraper (`powerai/booking-attractions-search-scraper`) Actor Export tours and things to do for a Booking destination—titles, prices, review signals, and photos in structured rows. - **URL**: https://apify.com/powerai/booking-attractions-search-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Travel, E-commerce, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 Attractions Search Scraper Pull **tours and activities** for a destination you already identified in Booking’s attractions flow: one row per product, with names, pricing hints, review stats, photos, and flags—ready for merchandising, research, or partner reporting. ### Who it’s for - **Destination & product teams** building activity assortments for a city or region. - **Marketing & partnerships** comparing what Booking promotes for a location. - **Analysts** who need repeatable exports instead of browsing page by page. ### What you can do with it - **Collect many products** across result pages until you hit your cap. - **Optional filters and sort** when you already know valid values from the same Booking workflow (currency, language, type/price/UFI/label filters). - **Date range** fields when you use them in your search context. ### How it works (in plain terms) You provide the **location / product `id`** (usually from **searchLocation**—often a Base64-style string). The tool requests **page 1, 2, …** of the attractions catalog, **merges each product into your dataset**, and stops when there are no more products or you reach your **maximum row count**. ### Input | Field | Required | What it means | |-------|----------|----------------| | **ID** (`id`) | Yes | Destination or product identifier from your attractions location search. | | **Maximum results** (`maxResults`) | No | Upper limit on how many products to collect (default **100**). | | **Start / end date** (`startDate`, `endDate`) | No | Optional dates for sorting context (`yyyy-mm-dd` or `yyyy/mm/dd`). | | **Sort** (`sortBy`) | No | e.g. trending, lowest price, best reviewed—when supported. | | **Currency & language** (`currency_code`, `languagecode`) | No | Display currency and response language. | | **Filters** (`typeFilters`, `priceFilters`, `ufiFilters`, `labelFilters`) | No | Comma-separated tag names from prior search `filterOptions` when you need them. | ### Output - **One row per attraction product** until your cap or the end of results. - **Identity & copy**: product **`id`**, **`name`**, URL **`slug`**, and **`shortDescription`**. Nested objects often include GraphQL-style **`__typename`** labels from the upstream API. - **Pricing**: **`representativePrice`** with charge/public amounts and **currency** (e.g. INR). - **Media**: **`primaryPhoto`**, usually with a **`small`** image URL (long-lived CDN links; treat as snapshot). - **Reviews**: **`reviewsStats`**—including **`allReviewsCount`**, **`percentage`**, and **`combinedNumericStats`** (**`average`**, **`total`** review count used for scoring). - **Place**: **`ufiDetails`**—city name (**`bCityName`**), **`ufi`**, and **`url.country`**. - **Policies & commerce**: **`cancellationPolicy`** (e.g. **`hasFreeCancellation`**), **`offers`** (nested offer **`items`** with their own ids), **`supportedFeatures`** (e.g. **`nativeApp`**). - **Merchandising**: **`flags`** (e.g. bestseller, recommended-by-travellers, guide badges) with **`flag`**, **`value`**, and **`rank`**. - Every row adds **when that record was written** (`scrapedAt`). Illustrative shape only: some products may omit or add fields; image URLs are long. #### Sample output (one dataset row, trimmed) ```json { "__typename": "AttractionsProduct", "cancellationPolicy": { "__typename": "AttractionsCancellationPolicy", "hasFreeCancellation": true }, "id": "PR6K7ZswbGBs", "name": "Dharavi, Dhobighat, and Mumbai Dabbawallas", "slug": "pr6k7zswbgbs-mumbai-half-day-tour", "shortDescription": "A must do tour of Mumbai. This is an off-beat 3.5hours tour where you will see Mumbai from a wide...", "representativePrice": { "__typename": "AttractionsPrice", "chargeAmount": 1852.75, "currency": "INR", "publicAmount": 1852.75 }, "primaryPhoto": { "__typename": "AttractionsPhoto", "small": "https://r-xx.bstatic.com/xdata/images/xphoto/300x320/147437415.jpg?k=3269ed4a34e76c66d327cfb870fa07ce95629ab36021dc0b11924f0379ccb046&o=" }, "reviewsStats": { "__typename": "AttractionsProductReviewStats", "allReviewsCount": 0, "percentage": "0", "combinedNumericStats": { "__typename": "AttractionsProductCombinedReviewStats", "average": 4.7, "total": 87 } }, "ufiDetails": { "__typename": "AttractionLocationResponse", "bCityName": "Mumbai", "ufi": -2092174, "url": { "__typename": "AttractionLocationUrl", "country": "in" } }, "offers": [ { "__typename": "Offer", "items": [{ "__typename": "OfferItem", "id": "OIEnoHP8TJsB" }] }, { "__typename": "Offer", "items": [{ "__typename": "OfferItem", "id": "OIMyfydyr7zh" }] } ], "supportedFeatures": { "__typename": "AttractionsProductSupportedFeatures", "nativeApp": true }, "flags": [ { "__typename": "AttractionsProductFlags", "flag": "recommendedByTravellers", "value": true, "rank": 96 }, { "__typename": "AttractionsProductFlags", "flag": "bestseller", "value": true, "rank": 1 }, { "__typename": "AttractionsProductFlags", "flag": "aiBadgesExpertGuide", "value": true, "rank": 1 } ], "scrapedAt": "2026-03-25T06:11:09.965Z" } ```` ### Good to know - The **`id`** must match what **searchLocation** (or your upstream step) returns; wrong values yield empty or failed searches. - Filter tag names come from a **first response’s** `filterOptions` when you need narrow segments. - Use data in line with Booking.com’s terms and applicable laws. # Actor input Schema ## `id` (type: `string`): From searchLocation (e.g. Base64 id in products or destinations). ## `maxResults` (type: `integer`): Max products to collect across pages. ## `startDate` (type: `string`): yyyy-mm-dd or yyyy/mm/dd (optional, for sorting context). ## `endDate` (type: `string`): yyyy-mm-dd or yyyy/mm/dd (optional). ## `sortBy` (type: `string`): e.g. trending, lowest\_price, attr\_book\_score ## `currency_code` (type: `string`): e.g. INR ## `languagecode` (type: `string`): e.g. en-us ## `typeFilters` (type: `string`): Comma-separated tagnames from filterOptions. ## `priceFilters` (type: `string`): Comma-separated tagnames from filterOptions. ## `ufiFilters` (type: `string`): Comma-separated tagnames from filterOptions. ## `labelFilters` (type: `string`): Comma-separated tagnames from filterOptions. ## Actor input object example ```json { "id": "eyJ1ZmkiOi0yMDkyMTc0fQ==", "maxResults": 20, "sortBy": "trending", "currency_code": "INR", "languagecode": "en-us" } ``` # 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 = { "id": "eyJ1ZmkiOi0yMDkyMTc0fQ==", "maxResults": 20, "sortBy": "trending", "currency_code": "INR", "languagecode": "en-us" }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/booking-attractions-search-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 = { "id": "eyJ1ZmkiOi0yMDkyMTc0fQ==", "maxResults": 20, "sortBy": "trending", "currency_code": "INR", "languagecode": "en-us", } # Run the Actor and wait for it to finish run = client.actor("powerai/booking-attractions-search-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 '{ "id": "eyJ1ZmkiOi0yMDkyMTc0fQ==", "maxResults": 20, "sortBy": "trending", "currency_code": "INR", "languagecode": "en-us" }' | apify call powerai/booking-attractions-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/booking-attractions-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Attractions Search Scraper", "description": "Export tours and things to do for a Booking destination—titles, prices, review signals, and photos in structured rows.", "version": "0.0", "x-build-id": "VEKaR2EGo5f0aVxXp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~booking-attractions-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-booking-attractions-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~booking-attractions-search-scraper/runs": { "post": { "operationId": "runs-sync-powerai-booking-attractions-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~booking-attractions-search-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-booking-attractions-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "id" ], "properties": { "id": { "title": "Location / product ID", "type": "string", "description": "From searchLocation (e.g. Base64 id in products or destinations).", "default": "eyJ1ZmkiOi0yMDkyMTc0fQ==" }, "maxResults": { "title": "Maximum results", "minimum": 20, "maximum": 10000, "type": "integer", "description": "Max products to collect across pages.", "default": 20 }, "startDate": { "title": "Start date", "type": "string", "description": "yyyy-mm-dd or yyyy/mm/dd (optional, for sorting context)." }, "endDate": { "title": "End date", "type": "string", "description": "yyyy-mm-dd or yyyy/mm/dd (optional)." }, "sortBy": { "title": "Sort by", "type": "string", "description": "e.g. trending, lowest_price, attr_book_score", "default": "trending" }, "currency_code": { "title": "Currency code", "type": "string", "description": "e.g. INR", "default": "INR" }, "languagecode": { "title": "Language code", "type": "string", "description": "e.g. en-us", "default": "en-us" }, "typeFilters": { "title": "Type filters", "type": "string", "description": "Comma-separated tagnames from filterOptions." }, "priceFilters": { "title": "Price filters", "type": "string", "description": "Comma-separated tagnames from filterOptions." }, "ufiFilters": { "title": "UFI filters", "type": "string", "description": "Comma-separated tagnames from filterOptions." }, "labelFilters": { "title": "Label filters", "type": "string", "description": "Comma-separated tagnames from filterOptions." } } }, "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 } } } } } } } } } } ```