# Rakuten Cashback Scraper — All Store Rates (`smart-shopping-data/rakuten-cashback-scraper`) Actor

Scrape cash back rates for every store on Rakuten (US): store name, rate, % or fixed amount, store ID and link. Filter by keyword or minimum rate. Pay per store.

- **URL**: https://apify.com/smart-shopping-data/rakuten-cashback-scraper.md
- **Developed by:** [smartshopping-data](https://apify.com/smart-shopping-data) (community)
- **Categories:** E-commerce, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 store rates

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Rakuten Cashback Scraper — All Store Rates

**Get the current cash back rate for every store on Rakuten (US) as a clean dataset: store name, rate, percentage or fixed amount, Rakuten store ID and link.**

Rakuten lists over 4,000 stores, and rates change daily. This Actor reads Rakuten's public store directory and returns one row per store, so you don't have to click through store pages or keep a spreadsheet up to date.

### What you can do with it

- 📊 **Rate tables and comparison sites:** refresh a full Rakuten rate table daily or hourly.
- 🔍 **Find the best offers:** filter by keyword ("hotel", "beauty") or minimum rate, and sort by cash back.
- 📈 **Track Rakuten over time:** schedule it and keep each run's dataset to see how rates move.
- 🤖 **Feed your own tools:** export JSON, CSV or Excel, or call it from the API, Zapier, Make or n8n.

### Input

```json
{
  "maxStores": 0,
  "storeKeywords": [],
  "minRatePercent": 5,
  "includeNoCashback": false
}
```

| Field | What it does | Default |
|---|---|---|
| `maxStores` | How many stores to check, in directory order. `0` checks every store (about 4,200, roughly 35 minutes) | `100` |
| `storeKeywords` | Only stores whose name contains one of these words | all stores |
| `minRatePercent` | Only stores paying at least this percentage (fixed-amount offers are always kept) | `0` |
| `includeNoCashback` | Also return stores listed on Rakuten that pay no cash back right now | `false` |

### Output

One row per store:

```json
{
  "store": "Nike",
  "slug": "nike",
  "storeId": "9528",
  "status": "ok",
  "rateText": "10%",
  "rateType": "percent",
  "rateValue": 10,
  "currency": "USD",
  "isUpTo": false,
  "url": "https://www.rakuten.com/shop/nike",
  "checkedAt": "2026-09-27T12:00:00.000Z"
}
```

- `rateType` is `percent` (for example 10% back) or `fixed` (for example $25 back).
- `isUpTo` is `true` when Rakuten says "Up to X%": the rate depends on the product or category.
- `status` is `ok`, or with `includeNoCashback` also `no-cashback` or `rate-not-found`.

The run's `SUMMARY` record counts the stores checked and lists the highest percentage rates found.

### Pricing

Pay per store: you are only charged for store rows saved to the dataset. Stores that have left Rakuten, or that pay no cash back (unless you ask for them), cost nothing. Set a maximum cost per run in Apify Console and the Actor stops cleanly when it is reached.

### How it works

The store list comes from Rakuten's public sitemap. For each store, the Actor reads only the top of the store page, where Rakuten states the current rate. That keeps runs fast and light. Requests are spaced out to be gentle on Rakuten's site.

### Related Actors

- [Cashback Rate Comparison](https://apify.com/Smart-Shopping-Data/cashback-rate-comparison): the best cashback for any store across Rakuten, TopCashback, BeFrugal, Capital One Shopping, Mr. Rebates and ShopBack (US, UK, AU).
- [Cashback Boost Monitor](https://apify.com/Smart-Shopping-Data/cashback-boost-monitor): alerts when cashback rates for your stores go up, go down or appear.
- [TopCashback Scraper](https://apify.com/Smart-Shopping-Data/topcashback-scraper): every TopCashback store in the US, UK and Australia with its current rate.
- [Deal Scraper](https://apify.com/Smart-Shopping-Data/deal-community-scraper): the latest Slickdeals, hotukdeals and OzBargain deals, with keyword alerts.

### Support

Found a bug or a store with the wrong rate? Open an issue on the **Issues** tab.

*Rates are read from Rakuten's public pages and change often. Check Rakuten before buying. Not affiliated with Rakuten.*

# Actor input Schema

## `maxStores` (type: `integer`):

How many stores from Rakuten's directory to check, in directory order. Set 0 to check every store (about 4,200; takes roughly 35 minutes).

## `storeKeywords` (type: `array`):

Only check stores whose Rakuten name contains one of these words, e.g. nike, hotel, beauty. Leave empty for all stores.

## `minRatePercent` (type: `number`):

Only save stores paying at least this percentage. Stores with a fixed amount (e.g. $25) are always saved.

## `includeNoCashback` (type: `boolean`):

Also save stores that are listed on Rakuten but currently pay no cash back, or whose rate could not be read.

## Actor input object example

```json
{
  "maxStores": 100,
  "storeKeywords": [],
  "minRatePercent": 0,
  "includeNoCashback": false
}
```

# Actor output Schema

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

No description

## `summary` (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 = {
    "maxStores": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("smart-shopping-data/rakuten-cashback-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 = { "maxStores": 100 }

# Run the Actor and wait for it to finish
run = client.actor("smart-shopping-data/rakuten-cashback-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 '{
  "maxStores": 100
}' |
apify call smart-shopping-data/rakuten-cashback-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smart-shopping-data/rakuten-cashback-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/kohDcDyVSMZK6Uuso/builds/NavEsqiUInKInpkjE/openapi.json