# Cashback Rate Comparison — Rakuten, TopCashback & more (`smart-shopping-data/cashback-rate-comparison`) Actor

Compare cashback rates for any store across Rakuten, TopCashback, BeFrugal, Capital One Shopping, Mr. Rebates and ShopBack in the US, UK and Australia. Best rate per store per country. Pay per rate found.

- **URL**: https://apify.com/smart-shopping-data/cashback-rate-comparison.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

$3.00 / 1,000 cashback 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

## Cashback Rate Comparison — Rakuten, TopCashback & more

**Find which cashback site pays the most for any store, in the US, UK and Australia, in one run.**

Give it a list of stores (Nike, ASOS, Amazon, walmart.com…). It checks each one on the main cashback portals in each country and returns the current cashback rate on every portal that carries it, plus the **best rate per store per country**.

| Country | Portals |
|---|---|
| 🇺🇸 US | Rakuten, TopCashback, BeFrugal, Capital One Shopping, Mr. Rebates |
| 🇬🇧 UK | TopCashback |
| 🇦🇺 Australia | TopCashback, ShopBack |

### What you can do with it

- 💸 **Pay less:** see which portal pays the most before you buy.
- 📈 **Track rate changes:** schedule it daily and catch boosts such as "8% cash back, was 2%".
- 🧾 **Comparison sites and newsletters:** feed a cashback comparison table or a weekly "best cashback deals" post.
- 🤖 **AI shopping agents:** "Where do I get the most cashback at Nike?" as one tool call.

### Input

```json
{ "merchants": ["Nike", "ASOS", "Amazon"], "countries": ["US", "UK", "AU"] }
```

| Field | What it does | Default |
|---|---|---|
| `merchants` | Store names or domains | required |
| `countries` | `US`, `UK`, `AU` | all three |
| `portals` | Limit to specific portals | all |
| `includeNotListed` | Also return free rows for portals that don't carry the store | `false` |

### Output

One row per store per portal that carries it:

```json
{
  "merchant": "Nike",
  "matchedName": "Nike",
  "portal": "rakuten-us",
  "portalName": "Rakuten",
  "country": "US",
  "status": "ok",
  "rateText": "8%",
  "rateType": "percent",
  "rateValue": 8,
  "currency": null,
  "isUpTo": false,
  "previousRateText": "2%",
  "url": "https://www.rakuten.com/shop/nike",
  "checkedAt": "2026-09-27T09:00:00.000Z"
}
```

- `rateType` is `percent` or `fixed`. Fixed amounts carry a `currency` (USD, GBP, AUD).
- `isUpTo` marks "up to X%" rates, which vary by product category.
- `status` is `ok`, `paused` (the portal lists the store but cashback is temporarily unavailable), `rate-not-found` or `not-listed`.

The `SUMMARY` record in the key-value store holds the best rate for each store in each country.

### Pricing

Pay per result: you are charged only for rates found. Portals that don't carry a store, or show no rate, are free.

### Notes

- Rates are read from each portal's public store pages; no logins.
- Rates change often, sometimes daily, so check `checkedAt`.
- Store names are matched to each portal's store page by name. If a store isn't found, try its domain (e.g. `marksandspencer.com`).

### Related Actors

- [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.
- [Rakuten Cashback Scraper](https://apify.com/Smart-Shopping-Data/rakuten-cashback-scraper): every Rakuten (US) store with its current rate.
- [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 need a portal added? Open an issue on the **Issues** tab.

# Actor input Schema

## `merchants` (type: `array`):

Store names or domains to check, e.g. Nike, ASOS, Amazon, walmart.com, THE ICONIC.

## `countries` (type: `array`):

Which countries' cashback portals to check.

## `portals` (type: `array`):

Limit to specific portals. Leave empty for all portals in the chosen countries.

## `includeNotListed` (type: `boolean`):

Also return a free row for each portal that doesn't list the store, so you can see coverage gaps.

## Actor input object example

```json
{
  "merchants": [
    "Nike",
    "ASOS",
    "Amazon",
    "Walmart"
  ],
  "countries": [
    "US",
    "UK",
    "AU"
  ],
  "portals": [],
  "includeNotListed": 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 = {
    "merchants": [
        "Nike",
        "ASOS",
        "Amazon",
        "Walmart"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("smart-shopping-data/cashback-rate-comparison").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 = { "merchants": [
        "Nike",
        "ASOS",
        "Amazon",
        "Walmart",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("smart-shopping-data/cashback-rate-comparison").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 '{
  "merchants": [
    "Nike",
    "ASOS",
    "Amazon",
    "Walmart"
  ]
}' |
apify call smart-shopping-data/cashback-rate-comparison --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smart-shopping-data/cashback-rate-comparison"
        }
    }
}
```

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/fhYemLCtEzZgecjW6/builds/qO95qBCq75FIfLTrg/openapi.json