# Hostelworld Hotels Search Scraper (`stealth_mode/hostelworld-hotels-search-scraper`) Actor Scrape hotel and hostel search results from Hostelworld.com including prices, ratings, facilities, locations, and more. Perfect for travel analysts, price comparison tools, and accommodation researchers needing structured property data. - **URL**: https://apify.com/stealth\_mode/hostelworld-hotels-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Hostelworld.com Hotels Search Scraper: Extract Property Listings at Scale --- ### What Is Hostelworld.com? Hostelworld is one of the world's leading budget accommodation platforms, listing hostels, hotels, guesthouses, and B&Bs across thousands of destinations globally. Its search results contain rich property data — pricing, ratings, facilities, and geolocation — that is valuable for travel market research, competitive analysis, and price monitoring. The **Hostelworld Hotels Search Scraper** automates extraction of this data from search result pages, eliminating manual collection entirely. --- ### Overview This scraper targets Hostelworld's property search result pages and extracts structured listings for each property returned. It is built for: - **Travel analysts** tracking accommodation pricing trends by city or date range - **Price comparison platforms** aggregating budget accommodation data - **Researchers** studying hostel/hotel supply in specific markets - **Developers** building travel tools that need live property data Configurable item limits and resilient URL handling make it suitable for both small spot-checks and large-scale data collection runs. --- ### Input Format The scraper accepts a simple JSON configuration: ```json { "ignore_url_failures": true, "max_items_per_url": 200, "urls": [ "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3" ] } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more Hostelworld search result page URLs to scrape. Add URLs one by one or use bulk edit. | | `max_items_per_url` | `integer` | Maximum number of property listings to collect per URL. Default: `20`. Set higher (e.g., `200`) for full-page or multi-page coverage. | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: `true`. | **How to build a valid URL:** Navigate to Hostelworld.com, search for a destination, apply your preferred filters (dates, guests, property type), then copy the full URL from your browser. Key query parameters include: | Parameter | Example | Meaning | |---|---|---| | `q` | `Tokyo, Japan` | Search query | | `from` / `to` | `2026-05-28` / `2026-05-31` | Check-in and check-out dates | | `guests` | `2` | Number of guests | | `page` | `3` | Pagination (scrape multiple pages by incrementing) | > **Tip:** To collect all results across multiple pages, add separate URLs per page (page=1, page=2, etc.) to the `urls` array. *** ### Output Format **Sample output record:** ```json { "id": "71392471", "provider_id": "10038998", "name": "Casa Blan", "property_type": "APARTMENT", "facilities": [ { "numeric_id": 5, "name": "Entertainment", "id": "FACILITYCATEGORYENTERTAINMENT", "facilities": [ { "numeric_id": 4, "name": "Internet Access", "id": "INTERNETACCESS" }, { "numeric_id": 133, "name": "Wi-Fi", "id": "WIFI" } ] }, { "numeric_id": 7, "name": "Accessibility", "id": "FACILITYCATEGORYACCESSIBILITY", "facilities": [ { "numeric_id": 27, "name": "Elevator", "id": "ELEVATOR" } ] }, { "numeric_id": 1, "name": "Free", "id": "FACILITYCATEGORYFREE", "facilities": [ { "numeric_id": 90, "name": "Free WiFi", "id": "FREEWIFI" } ] }, { "numeric_id": 13, "name": "Bedroom", "id": "FACILITYCATEGORYBEDROOM", "facilities": [ { "numeric_id": 50, "name": "Air Conditioning", "id": "AIRCONDITIONING" } ] }, { "numeric_id": 11, "name": "Safety & Security", "id": "FACILITYCATEGORYSAFETYANDSECURITY", "facilities": [ { "numeric_id": 378, "name": "Smoke Alarms", "id": "SMOKEALARMS" }, { "numeric_id": 375, "name": "CCTV in Common Areas", "id": "CCTVINCOMMONAREAS" }, { "numeric_id": 376, "name": "Fire Extinguishers", "id": "FIREEXTINGUISHERS" } ] } ], "is_new": false, "star_rating": 3, "latitude": "35.72383", "longitude": "139.73668", "lowest_price": 13820775, "per_night_price": 3787338, "is_free_cancellation_available": false, "displayable_rating": "8.3", "has_rating": true, "number_of_reviews": 107, "property_image": "https://q-xx.bstatic.com/xdata/images/hotel/max500/459497032.jpg?k=74b7005fff8f8f8d61a891a4ebc2f7e67dcf2edd96e590d2af6ef1a72363ea7d&o=&a=2282695", "distance_value_and_units": "5.57", "whitelabel_url": "https://www.tpi.hostelworld.com/hotels/71392471/Casa-Blan?correlationId=005bf343-4c2c-43ca-a9cf-76e79e955463", "from_url": "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3" } ``` Each property in the search results returns the following fields: #### Identity & Classification | Field | Meaning | |---|---| | `ID` | Hostelworld's unique internal identifier for the property | | `Provider ID` | External provider identifier (may differ from internal ID) | | `Name` | Property display name as shown in search results | | `Property Type` | Category of accommodation (e.g., Hostel, Hotel, Guesthouse) | | `Is New` | Boolean flag indicating recently listed properties | #### Pricing | Field | Meaning | |---|---| | `Lowest Price` | Cheapest available rate for the selected dates | | `Per Night Price` | Nightly rate derived from the total stay price | | `Is Free Cancellation Available` | Whether at least one room type offers free cancellation | #### Ratings & Reviews | Field | Meaning | |---|---| | `Star Rating` | Official star classification (where applicable) | | `Displayable Rating` | Hostelworld's guest score shown on the listing (e.g., 8.5/10) | | `Has Rating` | Boolean indicating whether the property has been rated | | `Number Of Reviews` | Total count of guest reviews submitted | #### Location | Field | Meaning | |---|---| | `Latitude` | Geographic latitude coordinate of the property | | `Longitude` | Geographic longitude coordinate of the property | | `Distance Value And Units` | Distance from the searched city center (e.g., "0.3 km") | #### Media & Links | Field | Meaning | |---|---| | `Property Image` | URL of the primary listing image | | `Whitelabel URL` | Deep-link URL to the property's booking page | #### Amenities | Field | Meaning | |---|---| | `Facilities` | List of available amenities (e.g., Free WiFi, Breakfast, Parking, Lockers) | *** ### How to Use 1. **Build your search URL** — Go to Hostelworld.com, search a destination, set dates and guests, then copy the browser URL. 2. **Paste into `urls`** — Add one or more URLs to the array. For full coverage, include multiple paginated URLs. 3. **Set `max_items_per_url`** — Use `200` to capture full pages; lower values work for quick sampling. 4. **Enable `ignore_url_failures`** — Keep this `true` for multi-URL runs to avoid interruptions from occasional failures. 5. **Export** — Download results as JSON, CSV, or Excel for analysis or integration. **Common issues:** - Ensure dates in the URL are in `YYYY-MM-DD` format and are future dates — expired date ranges may return empty results. - If a page returns fewer items than expected, check that the `page` parameter in the URL is valid (doesn't exceed the total number of search result pages). *** ### Use Cases & Business Value - **Price monitoring:** Track nightly rate fluctuations for budget accommodation in target cities - **Market research:** Analyze property supply, types, and ratings across destinations - **Competitive intelligence:** Benchmark facilities and pricing against competitor listings - **Travel app development:** Populate custom travel tools with live property data *** ### Conclusion The **Hostelworld Hotels Search Scraper** turns paginated search results into clean, structured datasets with 18+ fields per property — covering pricing, ratings, location, and amenities. Whether you're building a price tracker or conducting hospitality market research, it delivers reliable data without manual effort. Configure your search URL, set your limits, and run. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the hotels list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/hostelworld-hotels-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 = { "urls": ["https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/hostelworld-hotels-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 '{ "urls": [ "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/hostelworld-hotels-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/hostelworld-hotels-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hostelworld Hotels Search Scraper", "description": "Scrape hotel and hostel search results from Hostelworld.com including prices, ratings, facilities, locations, and more. Perfect for travel analysts, price comparison tools, and accommodation researchers needing structured property data.", "version": "0.0", "x-build-id": "ks2vfaDN3PYAi3KzT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~hostelworld-hotels-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-hostelworld-hotels-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~hostelworld-hotels-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-hostelworld-hotels-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~hostelworld-hotels-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-hostelworld-hotels-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "URLs of the hotels list urls to scrape", "type": "array", "description": "Add the URLs of the hotels list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```