# Rakuten Japan Review Scraper (`saswave/rakuten-japan-review-scraper`) Actor

Automates the extraction of customer reviews, star-rating distributions, buyer feedback, merchant metrics from Rakuten Ichiba (rakuten.co.jp). For consumer sentiment analysis, brand reputation management, customer experience benchmarking, competitive analysis across Japan's e-commerce platform.

- **URL**: https://apify.com/saswave/rakuten-japan-review-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Automation, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Japan Review Scraper

Automates the extraction of customer reviews, star-rating distributions, buyer feedback, and merchant metrics directly from Rakuten Ichiba (rakuten.co.jp).

Designed for consumer sentiment analysis, brand reputation management, customer experience benchmarking, and competitive analysis across Japan's leading e-commerce platform.

### FEATURES

Dual Scrape Targets: Extract customer feedback for both individual products and merchant shops.

Rating Distribution Insights: Capture overall average ratings, total review counts, and exact star-rating breakdowns ($1$ to $5$ stars).

Detailed Customer Feedback: Scrape review text, reviewer nicknames, age ranges, gender, and post timestamps.

Order & Variant Specifics: Collect purchase dates, item URLs, and specific SKU metadata (e.g., color, condition, storage size).

Merchant Reputation Metrics: Extract shop IDs, logo URLs, 39Shop status, helpful vote counts, and seller support responsiveness ratings.

### USE CASES

Customer Sentiment Analysis: Analyze buyer feedback, product flaws, and common praise points to optimize product development.

Merchant Reputation Tracking: Monitor seller service quality, shipping satisfaction, and response times over time.

Competitive Intelligence: Compare customer satisfaction metrics between rival brands and top-selling Rakuten merchants.

Review Aggregation & CX Insights: Feed clean customer feedback into natural language processing (NLP) models to detect emerging product trends.

### OUTPUT

Shop Overview

```json
{
  "shopImageUrl": "https://tshop.r10s.jp/icockaden/logo/logo1.jpg?fitin=48:48",
  "name": "家電問屋　楽天市場店",
  "shopId": 388605,
  "url": "https://www.rakuten.co.jp/icockaden",
  "is39Shop": true,
  "average": 4.74,
  "shouldBeDisplayed": true,
  "totalCount": 4700,
  "5_star": 3892,
  "4_star": 596,
  "3_star": 99,
  "2_star": 18,
  "1_star": 94,
  "ref_id": "388605"
}
```

Shop Review

```json
{
  "helpfulCount": 0,
  "isUnsatisfiedPickupReview": false,
  "reviewScore": 300102,
  "rating": 4,
  "body": "問い合わせをした際も、迅速に対応してもらいました。",
  "revSubkey": "1",
  "nickname": "購入者さん",
  "postDate": "2026/08/09",
  "encryptedRevKey": "ewb5-i9fi1-boftpr_1",
  "serviceId": 4,
  "orderDate": "2026/08/04",
  "key": "0a0563ba-428f-4d16-9b7e-b918a337f4aa",
  "isSatisfiedPickupReview": false,
  "ref_id": "366894"
}
```

Product Review

```json
{
  "encryptedEasyId": "ZTNhNzJlMjQ4NDI4",
  "evaluation": 5,
  "review": "Nランク、家族の要望でポイントが貯まりやすいときに購入しました。\n新品未使用で、箱の裏の封印も未開封、もちろん綺麗な商品で大変喜んでいます。\nバッテリーも70%近く充電が残っていて、起動も操作感も問題ないようです。\n保証の開始日も開封日からの1年間と表示がでたので、安心して使用していきたいです。",
  "shop_name": "ケータイゴッド",
  "shop_id": 425870,
  "judgment_ok": 0,
  "reg_time": "2026-07-06T01:43:24.000+09:00",
  "nickname": "fumin2",
  "item_id": 10002981,
  "open_flag": 1,
  "sex": 0,
  "review_theme": "",
  "item_url": "https://item.rakuten.co.jp/keitaigod01/iphone17-256-n/",
  "age": 57,
  "item_sku_info": "種別:Appleストア版SIMフリー | 状態:新品未開封品 | カラー:ホワイト",
  "ref_id": "ff0b1e115d84127e07e2eda7f8b0c64a"
}
```

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `feature` (type: `string`):

List reviews or get aggregate reviews

## `product_ids` (type: `array`):

From url https://product.rakuten.co.jp/product/-/ff0b1e115d84127e07e2eda7f8b0c64a/ id is ff0b1e115d84127e07e2eda7f8b0c64a

## `sellers` (type: `array`):

From url https://www.rakuten.co.jp/icockaden/ seller is icockaden

## `max_pages` (type: `integer`):

1 to 100

## Actor input object example

```json
{
  "feature": "reviews",
  "product_ids": [
    "ff0b1e115d84127e07e2eda7f8b0c64a"
  ],
  "sellers": [
    "icockaden"
  ],
  "max_pages": 1
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "product_ids": [
        "ff0b1e115d84127e07e2eda7f8b0c64a"
    ],
    "sellers": [
        "icockaden"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/rakuten-japan-review-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "product_ids": ["ff0b1e115d84127e07e2eda7f8b0c64a"],
    "sellers": ["icockaden"],
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/rakuten-japan-review-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "product_ids": [
    "ff0b1e115d84127e07e2eda7f8b0c64a"
  ],
  "sellers": [
    "icockaden"
  ]
}' |
apify call saswave/rakuten-japan-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/rakuten-japan-review-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/AfCZifGLfu2q9peTW/builds/PV9FW6T6rK6FhN4u6/openapi.json
