# Rakuten Travel Reviews Scraper (`huggable_quote/rakuten-travel-reviews-scraper`) Actor
Scrape structured hotel/ryokan reviews from Rakuten Travel (travel.rakuten.co.jp).
- **URL**: https://apify.com/huggable\_quote/rakuten-travel-reviews-scraper.md
- **Developed by:** [OrbitData Labs](https://apify.com/huggable_quote) (community)
- **Categories:** Travel, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 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.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
## Rakuten Travel Reviews Scraper
Extract **structured hotel & ryokan reviews from [Rakuten Travel](https://travel.rakuten.co.jp)** (楽天トラベル) — Japan's largest accommodation review platform. This is a **review-only** actor: point it at a hotel and get every customer review as clean JSON, with ratings, sub-ratings, stay/posted dates, room & plan info, and hotel replies.
There is no other Rakuten Travel review-only actor on Apify Store. If you already use a Rakuten/Agoda hotel scraper for metadata, this is the matching review extractor.
### Run on Apify
This actor is deployed on the Apify platform: **[console.apify.com/actors/XxwoZr8npNCXBoQI8](https://console.apify.com/actors/XxwoZr8npNCXBoQI8)**
- **Console:** open the actor, fill in the *Input* tab, and click **Start**.
- **API:** `POST https://api.apify.com/v2/acts/huggable_quote~rakuten-travel-reviews-scraper/runs?token=` with the input JSON as the body.
- **CLI:** `apify call huggable_quote/rakuten-travel-reviews-scraper --input-file=input.json`
Results land in the run's default **dataset** (export as JSON / CSV / Excel from the Console or the API).
### What it does
- Collects **all reviews** for each hotel (or up to a per-hotel cap you set).
- Normalizes Japanese data: full-width → half-width numbers, Japanese dates (`2026年5月28日`) → **ISO-8601** (`2026-05-28`), clean UTF-8 text with **no HTML residue**.
- Captures **per-review sub-ratings** (room, service, location, bath, facilities, cleanliness — plus breakfast/dinner where available).
- Captures **hotel-level aggregates** (average rating, rating distribution, sub-rating averages) on the first record of each hotel.
- Captures the **hotel's reply** to each review.
### Input
| Field | Type | Description |
|---|---|---|
| `startUrls` | array | Rakuten Travel hotel/review URLs. Any URL containing the hotel number works, e.g. `https://review.travel.rakuten.co.jp/hotel/voice/5521` or `https://travel.rakuten.co.jp/HOTEL/5521/review.html`. |
| `hotelIds` | array | Hotel numbers (hotelNo) directly, e.g. `["5521"]`. Alternative to `startUrls`. |
| `maxReviewsPerHotel` | integer | Max reviews per hotel. `0` (default) = all available. |
| `requestDelayMs` | integer | Polite delay between requests (default `1000`). Rakuten tolerates ~1 req/s. |
Example:
```json
{
"startUrls": [{ "url": "https://review.travel.rakuten.co.jp/hotel/voice/5521" }],
"maxReviewsPerHotel": 0,
"requestDelayMs": 1000
}
````
### Output
One dataset record per review:
```json
{
"hotelId": "5521",
"hotelName": "神戸ポートピアホテル",
"reviewId": "fb2cec799cd8e6a8",
"reviewUrl": "https://review.travel.rakuten.co.jp/hotel/voice/5521?page=1",
"reviewerName": "shigeki777",
"reviewerType": "家族",
"tripPurpose": "レジャー",
"reviewerAge": "60代",
"reviewerGender": "男性",
"reviewerReviewCount": 1,
"overallRating": 4.0,
"ratingScale": 5,
"subRatings": { "room": 4.0, "service": 4.0, "location": 4.0, "bath": null, "facilities": 4.0, "cleanliness": 4.0 },
"title": "30年ぶりの宿泊、南館は広くて快適でした",
"text": "今回、30年ぶりに、宿泊しました。\n南館は…",
"stayDate": "2026-05",
"postedDate": "2026-05-28",
"roomType": "南館サウスリゾートフォース(4名様)【禁煙】",
"planName": "【事前決済限定】キャンセル・返金不可プラン 11時OUT<素泊まり>",
"likeCount": null,
"viewCount": 245,
"replyFromHotel": "この度はポートピアホテルをご利用いただき…",
"replyFromHotelDate": "2026-05-30",
"scrapedAt": "2026-06-09T00:00:00+00:00",
"hotelStats": {
"displayedTotalReviewCount": 8136,
"collectedReviewCount": 311,
"averageRating": 4.41,
"ratingDistribution": { "5": 2314, "4": 1490, "3": 261, "2": 101, "1": 65 },
"subRatingAverages": { "room": 4.43, "service": 4.43, "location": 4.43, "breakfast": 4.57, "dinner": 4.54, "bath": 4.06, "facilities": 4.27, "cleanliness": 4.4 }
}
}
```
Notes:
- `hotelStats` is attached to the **first record of each hotel** only; it is `null` on the rest.
- `displayedTotalReviewCount` is Rakuten's all-time displayed total (legacy お客さまの声). `collectedReviewCount` is the number actually browsable in the current クチコミ system — this is what the actor can collect.
- `stayDate` is `YYYY-MM` (Rakuten exposes only the stay month). `postedDate` and `replyFromHotelDate` are `YYYY-MM-DD`.
- `reviewerType` = companion type (家族/一人/カップル …); `tripPurpose` = レジャー/ビジネス.
- Some reviews are photo-only and legitimately have an empty `text`.
- Reviewer info is limited to the public display nickname Rakuten shows — no personal data is reconstructed.
### How it works
Pure Python: `httpx` fetches the server-rendered review pages and `BeautifulSoup` parses them (no headless browser needed). The actor stops immediately and logs clearly if it ever sees a block/CAPTCHA — it does not attempt evasion.
### Local development
```bash
pip install -r requirements.txt
python -m tests.test_live # live parse + normalization validation
apify run # run the actor locally (Apify CLI)
apify push # deploy to the Apify platform
```
### Actor icon
The icon lives at [`.actor/icon.svg`](.actor/icon.svg). Apify sets the Store icon via the Console (it is not applied by `apify push`): open the actor → **Settings → Display information → Icon** and upload `.actor/icon.svg`.
# Actor input Schema
## `startUrls` (type: `array`):
Rakuten Travel hotel or review page URLs. Any URL containing the hotel number works, e.g. https://review.travel.rakuten.co.jp/hotel/voice/5521 or https://travel.rakuten.co.jp/HOTEL/5521/review.html
## `hotelIds` (type: `array`):
Rakuten Travel hotel numbers (hotelNo) to scrape, as an alternative to Start URLs. Example: 5521.
## `maxReviewsPerHotel` (type: `integer`):
Maximum reviews to collect per hotel. Use 0 (or leave empty) to collect all available reviews.
## `requestDelayMs` (type: `integer`):
Polite delay between page requests. Rakuten Travel tolerates ~1 request/second; lower values increase block risk.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://review.travel.rakuten.co.jp/hotel/voice/5521"
}
],
"hotelIds": [],
"maxReviewsPerHotel": 0,
"requestDelayMs": 1000
}
```
# Actor output Schema
## `reviews` (type: `string`):
All scraped reviews as dataset items in JSON.
## `reviewsCsv` (type: `string`):
All scraped reviews exported as CSV.
## `datasetInConsole` (type: `string`):
View the run and browse its dataset in the Console.
# 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 = {
"startUrls": [
{
"url": "https://review.travel.rakuten.co.jp/hotel/voice/5521"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("huggable_quote/rakuten-travel-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 = { "startUrls": [{ "url": "https://review.travel.rakuten.co.jp/hotel/voice/5521" }] }
# Run the Actor and wait for it to finish
run = client.actor("huggable_quote/rakuten-travel-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 '{
"startUrls": [
{
"url": "https://review.travel.rakuten.co.jp/hotel/voice/5521"
}
]
}' |
apify call huggable_quote/rakuten-travel-reviews-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=huggable_quote/rakuten-travel-reviews-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Rakuten Travel Reviews Scraper",
"description": "Scrape structured hotel/ryokan reviews from Rakuten Travel (travel.rakuten.co.jp).",
"version": "0.1",
"x-build-id": "4JlVsZDeuk3f87Eev"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/huggable_quote~rakuten-travel-reviews-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-huggable_quote-rakuten-travel-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/huggable_quote~rakuten-travel-reviews-scraper/runs": {
"post": {
"operationId": "runs-sync-huggable_quote-rakuten-travel-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/huggable_quote~rakuten-travel-reviews-scraper/run-sync": {
"post": {
"operationId": "run-sync-huggable_quote-rakuten-travel-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Rakuten Travel hotel or review page URLs. Any URL containing the hotel number works, e.g. https://review.travel.rakuten.co.jp/hotel/voice/5521 or https://travel.rakuten.co.jp/HOTEL/5521/review.html",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"hotelIds": {
"title": "Hotel IDs",
"type": "array",
"description": "Rakuten Travel hotel numbers (hotelNo) to scrape, as an alternative to Start URLs. Example: 5521.",
"default": [],
"items": {
"type": "string"
}
},
"maxReviewsPerHotel": {
"title": "Max reviews per hotel",
"minimum": 0,
"type": "integer",
"description": "Maximum reviews to collect per hotel. Use 0 (or leave empty) to collect all available reviews.",
"default": 0
},
"requestDelayMs": {
"title": "Delay between requests (ms)",
"minimum": 0,
"type": "integer",
"description": "Polite delay between page requests. Rakuten Travel tolerates ~1 request/second; lower values increase block risk.",
"default": 1000
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```