# Tiqets Reviews Scraper (`stealth_mode/tiqets-reviews-scraper`) Actor Scrape verified traveler reviews from Tiqets.com by tour ID. Collect ratings, reviewer details, review body, media, and aggregated stats — perfect for reputation monitoring, sentiment analysis, and travel market research. - **URL**: https://apify.com/stealth\_mode/tiqets-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 ## Tiqets.com Reviews Scraper: Extract Tour & Attraction Reviews at Scale --- ### What Is Tiqets.com? Tiqets.com is a global booking platform for museums, attractions, and experiences, operating in dozens of countries. Each listing accumulates verified post-visit reviews that contain rich signals about customer satisfaction, product quality, and traveler demographics. Collecting this data manually is impractical at scale — the **Tiqets.com Reviews Scraper** automates extraction from any tour or attraction by ID, returning clean structured records ready for analysis. --- ### Overview The **Tiqets Reviews Scraper** targets the review section of any Tiqets product page. It is useful for: - **Travel brands** monitoring reputation across their listings - **Market researchers** studying traveler sentiment by attraction or region - **Aggregator platforms** enriching product pages with review data - **Data analysts** building NLP/sentiment pipelines on tourism content --- ### Input Format The scraper uses a parameter-based input — no URL required. Identify a product by its **Tour ID**, found in the listing URL: ```` https://www.tiqets.com/en/musee-dorsay-tickets-l141867/ -> Tour ID: 141867 ```` ```json { "tour_id": "141867", "sort_by": "score_desc", "page": 2, "max_items_per_url": 200, "ignore_url_failures": true } ```` #### Input Field Reference | Field | Type | Description | |---|---|---| | `tour_id` | string | The numeric ID extracted from the Tiqets listing URL (e.g., `141867` from `/en/musee-dorsay-tickets-l141867/`) | | `sort_by` | string (enum) | Sort order for reviews. Options: `relevance-desc` (Relevance), `date-desc` (New to Old), `date-asc` (Old to New), `rating-desc` (High to Low), `rating-asc` (Low to High) | | `page` | integer | Page number to start collecting from. Default: `1`. Use `2`+ to resume or skip already-collected pages | | `max_items_per_url` | integer | Maximum reviews to collect per run. Default: `20`. Set up to `200`+ for bulk collection | | `ignore_url_failures` | boolean | If `true`, the scraper continues running when a request fails rather than halting the entire run | > **Tip:** To collect all reviews for a high-volume attraction, set `max_items_per_url` to a high value and start from `page: 1`. Use `sort_by: date-desc` to always capture the most recent reviews first. *** ### Output Format #### Sample Record ```json { "id": 2291072, "date": "2025-10-22", "rating": 5.0, "reviewer": "Helene", "country": { "name": "United States", "flag_url": "https://aws-tiqets-cdn.imgix.net/images/flags/US.png?auto=format%2Ccompress&fit=crop&q=70&s=7147173af75f7c738e516fee0287f64f" }, "pictures": [], "body": "Booking the tickets was very simple and everything went smoothly. Unfortunately, I had to cancel one of the two, and that went just as easily. Would definitely recommend using Tiqets.", "language": "en", "product": { "title": "Musée d'Orsay: Renoir and Love (1865-1885)", "url": "/en/things-to-do-in-paris-c66746/tickets-for-orsay-museum-exhibition-p1080858/" }, "media": [], "review_hash": "GVM1B0", "product_average_rating": 4.440855323020928, "product_total_reviews": 6594, "total_helpful_reviews": 1, "from_url": "https://www.tiqets.com/web_api/reviews/venue/141867?page=2&pageSize=20&language=en&sortDirection=desc&sortField=relevance&sort=score_desc" } ``` Each review returns the following fields: #### Review Identity | Field | Meaning | |---|---| | `ID` | Unique internal identifier for the review | | `Review Hash` | Fingerprint hash for deduplication across runs | | `Date` | Date the review was submitted | | `Language` | Language the review was written in | #### Reviewer Info | Field | Meaning | |---|---| | `Reviewer` | Display name or anonymized identifier of the reviewer | | `Country` | Reviewer's country of origin | #### Review Content | Field | Meaning | |---|---| | `Rating` | Numeric score given by the reviewer (typically 1–5) | | `Body` | Full text of the review | | `Pictures` | URLs of photos attached by the reviewer | | `Media` | Additional media assets (videos or supplementary images) | #### Product & Aggregates | Field | Meaning | |---|---| | `Product` | Name and metadata of the reviewed attraction or tour | | `Product Average Rating` | Overall average rating across all reviews for this product | | `Product Total Reviews` | Total number of reviews the product has received | | `Total Helpful Reviews` | Number of reviews marked as helpful by other users | *** ### How to Use 1. **Find the Tour ID** — Open any Tiqets listing. The ID is the number after the final `-l` in the URL (e.g., `/en/louvre-museum-l98234/` → `98234`). 2. **Set sort order** — Use `date-desc` for fresh reviews; `rating-asc` to surface critical feedback. 3. **Configure page and limit** — Start at `page: 1` with `max_items_per_url` matching your target volume. 4. **Run and export** — Download results as JSON or CSV for use in spreadsheets, BI tools, or NLP pipelines. **Common issues:** - If `tour_id` is incorrect, the run returns no data. Double-check the URL pattern. - Set `ignore_url_failures: true` for uninterrupted bulk runs across multiple tour IDs. *** ### Use Cases & Business Value - **Reputation management:** Track rating trends over time for your own or competitor listings - **Sentiment analysis:** Feed `Body` + `Language` fields into NLP models for multilingual insight - **Content enrichment:** Pull review snippets and ratings into third-party travel platforms - **Research:** Analyze traveler demographics (`Country`) and satisfaction patterns by attraction type *** ### Conclusion The **Tiqets.com Reviews Scraper** turns a platform's public review data into a structured, analysis-ready dataset with minimal configuration. With flexible sorting, pagination control, and rich per-review output, it is a practical tool for anyone working with travel reputation data at scale. # Actor input Schema ## `tour_id` (type: `string`): Enter Tour ID. For example, /en/musee-dorsay-tickets-l141867/ -> 141867) ## `sort_by` (type: `string`): Select your option to sort reviews ## `page` (type: `integer`): Page to start from ## `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 { "tour_id": "141867", "page": 1, "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 = { "tour_id": "141867", "page": 1, "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/tiqets-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 = { "tour_id": "141867", "page": 1, "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/tiqets-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 '{ "tour_id": "141867", "page": 1, "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/tiqets-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/tiqets-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiqets Reviews Scraper", "description": "Scrape verified traveler reviews from Tiqets.com by tour ID. Collect ratings, reviewer details, review body, media, and aggregated stats — perfect for reputation monitoring, sentiment analysis, and travel market research.", "version": "0.0", "x-build-id": "bNAalvjojILeoCRfO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~tiqets-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-tiqets-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~tiqets-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-tiqets-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~tiqets-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-tiqets-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tour_id": { "title": "Tour ID (Tour ID on tiqets.com tour review page url, e.g. /en/musee-dorsay-tickets-l141867/ -> 141867)", "type": "string", "description": "Enter Tour ID. For example, /en/musee-dorsay-tickets-l141867/ -> 141867)" }, "sort_by": { "title": "Sort by", "enum": [ "relevance-desc", "date-desc", "date-asc", "rating-desc", "rating-asc" ], "type": "string", "description": "Select your option to sort reviews" }, "page": { "title": "Page", "type": "integer", "description": "Page to start from" }, "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 } } } } } } } } } } ```