# Hostelworld Reviews Scraper (`stealth_mode/hostelworld-reviews-scraper`) Actor Collect guest reviews from Hostelworld.com hotel pages in bulk. This scraper extracts review summaries, scores, dates, reviewer info, and full text — perfect for sentiment analysis, reputation monitoring, and travel research. - **URL**: https://apify.com/stealth\_mode/hostelworld-reviews-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 2 total users, 1 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 Reviews Scraper: Extract Hotel Reviews at Scale --- ### What Is Hostelworld.com? Hostelworld is a global travel booking platform specializing in hostels, hotels, and budget accommodation. Beyond listings, it hosts a large volume of verified guest reviews that reflect real traveler experiences. Manually reading and compiling these reviews is impractical at scale — the **Hostelworld Reviews Scraper** automates extraction, turning review pages into structured datasets ready for analysis. --- ### Overview The **Hostelworld Reviews Scraper** targets hotel detail pages on Hostelworld's platform and collects all available guest reviews per property. It is built for: - **Hotel managers** monitoring guest sentiment and reputation - **Travel researchers** studying accommodation trends and traveler behavior - **Data analysts** building datasets for NLP or sentiment analysis pipelines - **Aggregator developers** enriching property listings with review data The scraper supports bulk URL input, configurable item limits, and fault-tolerant execution — skipping failed URLs without stopping the entire run. --- ### Input Format ```json { "ignore_url_failures": true, "max_items_per_url": 200, "urls": [ "https://www.tpi.hostelworld.com/hotels/28045748/APA-Hotel-Resort-Ryogoku-Ekimae-Tower?..." ] } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | Hotel detail page URLs from Hostelworld. Add one per line or use Bulk Edit. Each URL should point to a specific property's detail page (e.g., `tpi.hostelworld.com/hotels/...`). | | `max_items_per_url` | `integer` | Maximum number of reviews to collect per URL. Default: `20`. Set higher (e.g., `200`) to capture more reviews per property. | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails instead of halting the entire run. Recommended for bulk jobs. Default: `true`. | > **Tip:** To scrape reviews for multiple properties, add each hotel's detail URL to the `urls` array. The full URL including query parameters (`?q=...`) is supported and recommended for accurate results. *** ### Output Format **Example record:** ```json { "summary": "Nice place to stay", "date_submitted": "2026-05-21T00:00:00", "score": "8.0", "reviewer": { "country": "AR", "name": "Ana", "travel_purpose": "leisure", "type": "solo" }, "text": [ "Clean", "Small rooms" ] } ``` Each review record contains 5 fields: | Field | Meaning | |---|---| | `Summary` | Short headline or title of the review, as written by the guest (e.g., *"Great location, small rooms"*) | | `Date Submitted` | The date the review was posted on Hostelworld | | `Score` | Numerical rating given by the reviewer, typically on a 1–10 scale | | `Reviewer` | Name or identifier of the guest who submitted the review | | `Text` | Full body of the review — the detailed written feedback from the traveler | *** ### How to Use 1. **Get hotel URLs** — Open any hotel detail page on Hostelworld (e.g., `tpi.hostelworld.com/hotels/...`) and copy the full URL, including query parameters. 2. **Configure input** — Paste URLs into the `urls` array. Set `max_items_per_url` to control how many reviews to fetch per property. 3. **Set fault tolerance** — Keep `ignore_url_failures: true` for bulk runs to avoid interruptions from occasional failed requests. 4. **Run the scraper** — Start the actor and monitor progress in the run log. 5. **Export data** — Download results as JSON, CSV, or Excel for use in analytics tools or dashboards. **Common issues:** - If no reviews are returned, verify the URL points to a hotel *detail* page, not a search results or listing page. - Some properties may have fewer reviews than the `max_items_per_url` limit — this is expected behavior. *** ### Use Cases & Business Value - **Reputation monitoring:** Track guest sentiment for your property or competitors over time - **Sentiment analysis:** Feed review text into NLP models to identify common complaints or praise - **Market research:** Understand traveler expectations in specific cities or property categories - **Content enrichment:** Supplement hotel listings with authentic guest feedback The **Hostelworld Reviews Scraper** turns hundreds of individual review pages into a clean, queryable dataset — saving hours of manual work and enabling insights at a scale impossible through manual browsing. *** ### Conclusion Whether you're a hotel operator tracking your reputation, a researcher studying traveler behavior, or a developer building a review aggregator, the **Hostelworld Reviews Scraper** delivers structured review data quickly and reliably. Start collecting today and turn guest feedback into actionable intelligence. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Hotels details 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.tpi.hostelworld.com/hotels/28045748/APA-Hotel-Resort-Ryogoku-Ekimae-Tower?correlationId=2421c88e-3e96-43e2-b610-19670cfe19b6&q=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%3D" ], "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.tpi.hostelworld.com/hotels/28045748/APA-Hotel-Resort-Ryogoku-Ekimae-Tower?correlationId=2421c88e-3e96-43e2-b610-19670cfe19b6&q=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%3D" ], "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-reviews-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.tpi.hostelworld.com/hotels/28045748/APA-Hotel-Resort-Ryogoku-Ekimae-Tower?correlationId=2421c88e-3e96-43e2-b610-19670cfe19b6&q=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%3D"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/hostelworld-reviews-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.tpi.hostelworld.com/hotels/28045748/APA-Hotel-Resort-Ryogoku-Ekimae-Tower?correlationId=2421c88e-3e96-43e2-b610-19670cfe19b6&q=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%3D" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/hostelworld-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/hostelworld-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hostelworld Reviews Scraper", "description": "Collect guest reviews from Hostelworld.com hotel pages in bulk. This scraper extracts review summaries, scores, dates, reviewer info, and full text — perfect for sentiment analysis, reputation monitoring, and travel research.", "version": "0.0", "x-build-id": "EnmEAalTAizBsXCbm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~hostelworld-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-hostelworld-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~hostelworld-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-hostelworld-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~hostelworld-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-hostelworld-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 details urls to scrape", "type": "array", "description": "Add the URLs of the Hotels details 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 } } } } } } } } } } ```