# Traveloka Reviews Scraper (`stealth_mode/traveloka-reviews-scraper`) Actor Scrape verified guest reviews from Traveloka.com hotel and activity pages. Collect review scores, content, media, sub-ratings, reply threads, and 19+ structured fields — perfect for hospitality analytics, reputation monitoring, and competitive research. - **URL**: https://apify.com/stealth\_mode/traveloka-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 ## Traveloka.com Reviews Scraper: Extract Hotel & Activity Reviews at Scale --- ### What Is Traveloka.com? Traveloka is one of Southeast Asia's largest online travel platforms, offering hotel bookings, flights, activities, and experiences across markets including Indonesia, Thailand, Vietnam, Malaysia, and beyond. Its review system aggregates verified guest feedback with scores, written content, photos, and sub-ratings across multiple stay dimensions. Manually collecting this data at scale is impractical. The **Traveloka Reviews Scraper** automates extraction from hotel and activity detail pages, delivering structured review records ready for analysis. --- ### Overview This scraper targets Traveloka hotel and activity detail URLs and extracts guest review data with rich metadata. It supports filtering by rating tier and format, flexible sorting, and pagination control — making it suitable for both targeted spot-checks and bulk data collection. **Ideal for:** - **Hospitality businesses** monitoring guest sentiment and competitor reputation - **Data analysts** building review datasets for NLP or sentiment modeling - **Travel aggregators** enriching listings with user-generated content - **Researchers** studying tourism trends in Southeast Asian markets --- ### Input Format ```json { "urls": [ "https://www.traveloka.com/hotel/detail?spec=25-05-2026.26-05-2026.1.1.HOTEL.9000000886028.Mandarin%20Eastville%20Pattaya.2" ], "format": "FORMAT_VALUE_ALL", "rating": "RATING_VALUE_ALL", "sort_by": "SORT_CREATED_DESCENDING", "offset": 0, "max_items_per_url": 200, "ignore_url_failures": true } ```` #### Field Reference | Field | Type | Options / Notes | |---|---|---| | `urls` | array | Hotel or activity detail page URLs from Traveloka. Supports multiple URLs. | | `format` | string | Filter by review format: `FORMAT_VALUE_ALL` · `FORMAT_VALUE_TEXT` · `FORMAT_VALUE_MEDIA` · `FORMAT_VALUE_TEXT_MEDIA` | | `rating` | string | Filter by score tier: `RATING_VALUE_ALL` · `RATING_VALUE_EXCEPTIONAL` · `RATING_VALUE_VERY_GOOD` · `RATING_VALUE_PLEASANT` · `RATING_VALUE_FAIR` · `RATING_VALUE_POOR` | | `sort_by` | string | Sort order: `SORT_CREATED_DESCENDING` *(Newest)* · `SORT_HELPFUL_DESCENDING` *(Most Helpful)* · `SORT_RATING_DESCENDING` · `SORT_RATING_ASCENDING` | | `offset` | integer | Starting position for pagination. Default: `0`. Increase to resume from a specific record. | | `max_items_per_url` | integer | Maximum reviews to collect per URL. Default: `20`. Max recommended: `200`. | | `ignore_url_failures` | boolean | If `true`, failed URLs are skipped without stopping the run. Recommended for bulk jobs. | > **Tip:** Use `FORMAT_VALUE_MEDIA` to collect only reviews with photos/videos, or `RATING_VALUE_POOR` to focus on negative sentiment for issue detection. *** ### Output Format **Sample output** ```json { "review_id": "1864935921219024940", "product_type": "EXPERIENCE", "reviewer": { "reviewer_id": "260765882", "reviewer_name": "MUHAMMAD R. M. R.", "reviewer_photo_url": null, "reviewer_app_link": null, "reviewer_web_link": null, "reviewer_status": "ACTIVE", "reviewer_origin": null, "reviewer_badge_url": null, "reviewer_token": null }, "review_timestamp": "1778541489810", "review_score": "10.0", "review_max_score": "10.0", "review_content_text": null, "review_original_text": null, "translation_status": "ORIGINAL", "translation_provider_label_url": null, "review_media": [ { "review_media_id": "REVIEW_1778541470738_274f6fc4fbc147ec", "review_media_url": "https://ik.imagekit.io/tvlk/ugc-review/guys1L+Yyer9kzI3sp-pb0CG1j2bhflZGFUZOoIf1YOBAm37kEUOKR41ieUZm7ZJ/ugc-photo-ap-southeast-1-581603780057-acd24e232f75f09e/REVIEW/REVIEW_1778541470738_274f6fc4fbc147ec?tr=q-40,c-at_max,w-720,h-1280&_src=imagekit", "review_media_category": null, "review_media_type": "PHOTO", "review_media_caption": null, "review_media_thumbnail_url": "https://ik.imagekit.io/tvlk/ugc-review/guys1L+Yyer9kzI3sp-pb0CG1j2bhflZGFUZOoIf1YOBAm37kEUOKR41ieUZm7ZJ/ugc-photo-ap-southeast-1-581603780057-acd24e232f75f09e/REVIEW/REVIEW_1778541470738_274f6fc4fbc147ec?tr=q-40,c-at_max,w-720,h-1280&_src=imagekit", "reaction_summary": null, "submission_time": { "month": "5", "day": "11", "year": "2026" }, "duration_in_seconds": "0" }, { "review_media_id": "REVIEW_1778541470738_a784f847b993b55a", "review_media_url": "https://ik.imagekit.io/tvlk/ugc-review/guys1L+Yyer9kzI3sp-pb0CG1j2bhflZGFUZOoIf1YOBAm37kEUOKR41ieUZm7ZJ/ugc-photo-ap-southeast-1-581603780057-acd24e232f75f09e/REVIEW/REVIEW_1778541470738_a784f847b993b55a?tr=q-40,c-at_max,w-720,h-1280&_src=imagekit", "review_media_category": null, "review_media_type": "PHOTO", "review_media_caption": null, "review_media_thumbnail_url": "https://ik.imagekit.io/tvlk/ugc-review/guys1L+Yyer9kzI3sp-pb0CG1j2bhflZGFUZOoIf1YOBAm37kEUOKR41ieUZm7ZJ/ugc-photo-ap-southeast-1-581603780057-acd24e232f75f09e/REVIEW/REVIEW_1778541470738_a784f847b993b55a?tr=q-40,c-at_max,w-720,h-1280&_src=imagekit", "reaction_summary": null, "submission_time": { "month": "5", "day": "11", "year": "2026" }, "duration_in_seconds": "0" } ], "review_reply": null, "review_additional_information": null, "sub_rating_informations": [], "reaction_summary": { "reaction_count": "0", "has_reacted": false }, "review_origin": "TRAVELOKA", "review_provider": "TRAVELOKA", "review_origin_label": null, "review_icon_url": "https://ik.imagekit.io/tvlk/image/imageResource/2024/05/15/1715766038135-fac45f7f34fa60416004be216ee5c386.png?tr=q-75", "from_url": "https://www.traveloka.com/en-en/activities/japan/product/universal-studios-japan-2000814134443" } ``` Each review record contains up to 19 fields: #### Core Review Data | Field | Meaning | |---|---| | `Review ID` | Unique identifier for the review record | | `Product Type` | Type of listing reviewed (e.g., hotel, activity) | | `Review Timestamp` | Date and time the review was submitted | | `Review Score` | Numeric score given by the reviewer | | `Review Max Score` | Maximum possible score (used to normalize ratings) | | `Review Content Text` | Translated or display-language review text | | `Review Original Text` | Review text in the reviewer's original language | | `Translation Status` | Whether the text has been machine-translated | | `Translation Provider Label URL` | Attribution link for the translation provider | #### Reviewer & Origin | Field | Meaning | |---|---| | `Reviewer` | Reviewer profile details (name, nationality, stay type) | | `Review Origin` | Platform or channel where the review originated | | `Review Origin Label` | Human-readable label for the review source | | `Review Icon URL` | Icon representing the review origin or platform | | `Review Provider` | Data provider supplying the review (may differ from origin) | #### Media & Engagement | Field | Meaning | |---|---| | `Review Media` | Attached photos or videos (URLs and metadata) | | `Review Reply` | Official response from the property to the review | | `Reaction Summary` | Aggregated helpful/reaction counts from other users | #### Detailed Ratings | Field | Meaning | |---|---| | `Sub Rating Informations` | Dimension-level scores (e.g., Cleanliness, Location, Service, Value) | | `Review Additional Information` | Extra metadata such as room type, trip purpose, or stay duration | *** ### How to Use 1. **Get the hotel URL** — Open a hotel or activity page on Traveloka.com. Copy the full URL from your browser (include the `spec=` parameters for date and guest count). 2. **Configure filters** — Set `format` and `rating` to narrow your dataset, or leave both as `ALL` for complete coverage. 3. **Set sort order** — Use `SORT_CREATED_DESCENDING` for the latest reviews, or `SORT_HELPFUL_DESCENDING` to prioritize high-quality content. 4. **Control volume** — Set `max_items_per_url` and `offset` to paginate through large review sets across multiple runs. 5. **Run and export** — Download results as JSON or CSV for use in spreadsheets, dashboards, or NLP pipelines. **Common issues:** - Ensure URLs are hotel or activity *detail* pages — search results pages are not supported. - If reviews appear truncated, check that `Review Original Text` vs `Review Content Text` are both captured; one may be the translated version. *** ### Use Cases & Business Value - **Reputation management:** Track score trends and recurring complaints across properties - **Competitive benchmarking:** Compare sub-ratings (cleanliness, service, value) against competing hotels - **Sentiment analysis:** Feed `Review Content Text` into NLP models for topic modeling or aspect-based sentiment - **Content strategy:** Identify what guests praise most to highlight in marketing copy *** ### Conclusion The **Traveloka Reviews Scraper** delivers structured, multi-dimensional review data from one of Southeast Asia's most active travel platforms. With flexible filtering, sort options, and rich per-review metadata across 19 fields, it enables everything from quick spot-checks to large-scale hospitality analytics. Start collecting today and turn guest feedback into actionable intelligence. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Hotels or Activities details urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `format` (type: `string`): Select your option to filter items by format ## `rating` (type: `string`): Select your option to sort reviews ## `sort_by` (type: `string`): Select your option to sort reviews ## `offset` (type: `integer`): Offset 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 { "urls": [ "https://www.traveloka.com/hotel/detail?spec=25-05-2026.26-05-2026.1.1.HOTEL.9000000886028.Mandarin%20Eastville%20Pattaya.2&loginPromo=1&prevSearchId=1866178742939843957&priceDisplay=NIGHTNOTAX&iuid=e0ef64de-3da9-4f3f-8e29-8c015c75b261" ], "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.traveloka.com/hotel/detail?spec=25-05-2026.26-05-2026.1.1.HOTEL.9000000886028.Mandarin%20Eastville%20Pattaya.2&loginPromo=1&prevSearchId=1866178742939843957&priceDisplay=NIGHTNOTAX&iuid=e0ef64de-3da9-4f3f-8e29-8c015c75b261" ], "offset": 0, "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/traveloka-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.traveloka.com/hotel/detail?spec=25-05-2026.26-05-2026.1.1.HOTEL.9000000886028.Mandarin%20Eastville%20Pattaya.2&loginPromo=1&prevSearchId=1866178742939843957&priceDisplay=NIGHTNOTAX&iuid=e0ef64de-3da9-4f3f-8e29-8c015c75b261"], "offset": 0, "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/traveloka-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.traveloka.com/hotel/detail?spec=25-05-2026.26-05-2026.1.1.HOTEL.9000000886028.Mandarin%20Eastville%20Pattaya.2&loginPromo=1&prevSearchId=1866178742939843957&priceDisplay=NIGHTNOTAX&iuid=e0ef64de-3da9-4f3f-8e29-8c015c75b261" ], "offset": 0, "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/traveloka-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/traveloka-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Traveloka Reviews Scraper", "description": "Scrape verified guest reviews from Traveloka.com hotel and activity pages. Collect review scores, content, media, sub-ratings, reply threads, and 19+ structured fields — perfect for hospitality analytics, reputation monitoring, and competitive research.", "version": "0.0", "x-build-id": "hKoLahTzL4ctzb2aO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~traveloka-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-traveloka-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~traveloka-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-traveloka-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~traveloka-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-traveloka-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 or Activities details urls to scrape", "type": "array", "description": "Add the URLs of the Hotels or Activities 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" } }, "format": { "title": "Filter items by format", "enum": [ "FORMAT_VALUE_ALL", "FORMAT_VALUE_TEXT", "FORMAT_VALUE_MEDIA", "FORMAT_VALUE_TEXT_MEDIA" ], "type": "string", "description": "Select your option to filter items by format" }, "rating": { "title": "Sort by", "enum": [ "RATING_VALUE_ALL", "RATING_VALUE_EXCEPTIONAL", "RATING_VALUE_VERY_GOOD", "RATING_VALUE_PLEASANT", "RATING_VALUE_FAIR", "RATING_VALUE_POOR" ], "type": "string", "description": "Select your option to sort reviews" }, "sort_by": { "title": "Sort by", "enum": [ "SORT_CREATED_DESCENDING", "SORT_HELPFUL_DESCENDING", "SORT_RATING_DESCENDING", "SORT_RATING_ASCENDING" ], "type": "string", "description": "Select your option to sort reviews" }, "offset": { "title": "Offset", "type": "integer", "description": "Offset 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 } } } } } } } } } } ```