# Agoda Hotel Reviews Scraper (`good-apis/agoda-reviews-scraper`) Actor - **URL**: https://apify.com/good-apis/agoda-reviews-scraper.md - **Developed by:** [Danny](https://apify.com/good-apis) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Agoda Hotel Reviews Scraper Pull guest reviews for any Agoda hotel — **rating, title, full review text, the untranslated original, per-review pros/cons, reviewer name/country, traveler type, room type, length of stay, check-in dates, helpful votes, and photos** — straight from a hotel URL. No login, no browser to manage, fast JSON. Reviews come back **newest first** (or by the sort you choose), and the run also tells you the hotel's **total review count** so you know how deep the well is. A mega-hotel like Marina Bay Sands has tens of thousands of reviews — page through as many as you want. **Pricing: $2.00 per 1,000 reviews** (pay per result). You're only charged for reviews actually returned. ### What you get Every review returns: | Field | Description | |---|---| | `review_id` | Stable Agoda review id | | `rating` | Score out of 10 | | `rating_text` | Word rating ("Exceptional", "Excellent" …) | | `title` | Review title (translated) | | `text` | Full review text (translated to your chosen language) | | `original_title` / `original_text` | The review exactly as the guest wrote it | | `positives` / `negatives` | Separate "liked / disliked" notes when present | | `review_date` | When the review was written (ISO 8601) | | `check_in_date` / `check_out_date` | The guest's stay dates | | `length_of_stay` | Nights stayed | | `reviewer_name` | Reviewer display name | | `reviewer_country` / `reviewer_country_code` | Reviewer's country | | `traveler_type` | Solo, Couple, Family, Business … | | `room_type` | Room the guest booked | | `helpful_votes` | How many found the review helpful | | `responder_name` / `response_date` | Hotel's reply, when present | | `photos` | Guest-uploaded photos, when present | | `provider` | Review source (Agoda, and partner sites) | ### Input | Field | Required | Description | |---|---|---| | `hotel` | ✓ | Agoda hotel page URL, a `?hid=` URL, or the numeric hotel id | | `max_reviews` | | How many reviews to return, newest first (default 100, up to 3000) | | `sort` | | `most_recent`, `most_helpful`, `rating_high`, or `rating_low` | | `language` | | Locale for translated text (default `en-us`) | ```json { "hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent" } ```` ### Example output ```json { "review_id": 1144429097, "rating": 9.2, "rating_text": "Exceptional", "title": "It was the best hotel, but...", "text": "The infinity pool and the view were unforgettable...", "original_title": "最高のホテルでしたが…", "review_date": "2026-07-09T01:38:00+07:00", "check_in_date": "2026-07-06T00:00:00+07:00", "length_of_stay": 1, "reviewer_name": "YUKA", "reviewer_country": "Japan", "traveler_type": "Couple", "room_type": "Sands Premier King City View", "helpful_votes": 0, "provider": "Agoda" } ``` ### How to run it **API**: ```bash curl -X POST "https://api.apify.com/v2/acts/good-apis~agoda-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"hotel":"https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html","max_reviews":100,"sort":"most_recent"}' ``` **Python**: ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("good-apis/agoda-reviews-scraper").call( run_input={"hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent"}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["rating"], item["title"]) ``` **Node.js**: ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('good-apis/agoda-reviews-scraper').call({ hotel: 'https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html', max_reviews: 100, sort: 'most_recent', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(r => console.log(r.rating, r.title)); ``` ### Pagination & depth One run pages through the hotel's reviews for you, up to `max_reviews` (up to 3000). Reviews are returned newest first by default; set `sort` to reorder. Agoda aggregates reviews from multiple providers — the scraper reads the largest (Agoda's own) first, then falls through to partner providers to reach your requested count. ### FAQ **Do I need a login or API key?** No — it reads public hotel reviews. **Where do I find the hotel URL?** Open the hotel on agoda.com and copy the address bar. You can also paste just the numeric hotel id. **Why are some reviews rating-only (no text)?** Many Agoda guests leave a score without writing a comment — those come back with the rating filled in and the text empty. That's the genuine review, not a gap. **Why are reviews in different languages?** Agoda guests write in their own language; the scraper returns the text translated to your chosen `language`, plus the untranslated `original_text`. **What if a hotel has no reviews?** The run succeeds with an empty dataset — you're not charged for zero results. **Do you have hotel search and hotel detail too?** Reviews is the surface offered here; hotel search/detail read from a different Agoda endpoint. # Actor input Schema ## `hotel` (type: `string`): The Agoda hotel page to scrape reviews for. Paste the hotel's Agoda URL (e.g. 'https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html'), a URL with a '?hid=' id, or the hotel's numeric Agoda id. ## `max_reviews` (type: `integer`): How many reviews to return, newest first (up to 3000). Each review is one output item. ## `sort` (type: `string`): Order reviews by: newest first, most helpful, highest rating first, or lowest rating first. ## `language` (type: `string`): Language/locale for the translated review text (e.g. 'en-us', 'en-gb'). The original untranslated text is always included as well. ## Actor input object example ```json { "hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent", "language": "en-us" } ``` # Actor output Schema ## `results` (type: `string`): All scraped items in the default dataset. # 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 = { "hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent", "language": "en-us" }; // Run the Actor and wait for it to finish const run = await client.actor("good-apis/agoda-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 = { "hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent", "language": "en-us", } # Run the Actor and wait for it to finish run = client.actor("good-apis/agoda-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 '{ "hotel": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html", "max_reviews": 100, "sort": "most_recent", "language": "en-us" }' | apify call good-apis/agoda-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=good-apis/agoda-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Agoda Hotel Reviews Scraper", "version": "0.1", "x-build-id": "sDUfgs0ZiBa1WO0kr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/good-apis~agoda-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-good-apis-agoda-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/good-apis~agoda-reviews-scraper/runs": { "post": { "operationId": "runs-sync-good-apis-agoda-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/good-apis~agoda-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-good-apis-agoda-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "hotel" ], "properties": { "hotel": { "title": "Hotel URL or ID", "type": "string", "description": "The Agoda hotel page to scrape reviews for. Paste the hotel's Agoda URL (e.g. 'https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html'), a URL with a '?hid=' id, or the hotel's numeric Agoda id." }, "max_reviews": { "title": "Max reviews", "minimum": 1, "maximum": 3000, "type": "integer", "description": "How many reviews to return, newest first (up to 3000). Each review is one output item.", "default": 100 }, "sort": { "title": "Sort order", "enum": [ "most_recent", "most_helpful", "rating_high", "rating_low" ], "type": "string", "description": "Order reviews by: newest first, most helpful, highest rating first, or lowest rating first.", "default": "most_recent" }, "language": { "title": "Review language", "type": "string", "description": "Language/locale for the translated review text (e.g. 'en-us', 'en-gb'). The original untranslated text is always included as well.", "default": "en-us" } } }, "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 } } } } } } } } } } ```