# TopCashback Scraper — All Store Rates (US, UK, AU) (`smart-shopping-data/topcashback-scraper`) Actor

Scrape cashback rates for every store on TopCashback in the US, UK and Australia: store, rate, % or fixed amount, currency and link. Filter by keyword or minimum rate. Pay per store.

- **URL**: https://apify.com/smart-shopping-data/topcashback-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

## TopCashback Scraper — All Store Rates (US, UK, AU)

**Get the current cashback rate for every store on TopCashback in the United States, the United Kingdom and Australia as one clean dataset: store, rate, percentage or fixed amount, currency and link.**

TopCashback lists thousands of stores in each country, and rates change daily. This Actor reads TopCashback's public store directories and returns one row per store, so you don't have to click through store pages or keep a spreadsheet up to date.

| Country | Site |
|---|---|
| 🇺🇸 US | topcashback.com |
| 🇬🇧 UK | topcashback.co.uk |
| 🇦🇺 Australia | topcashback.com.au |

### What you can do with it

- 📊 **Rate tables and comparison sites:** refresh full TopCashback rate tables for one country or all three.
- 🔍 **Find the best offers:** filter by keyword ("hotel", "asos") or minimum rate, and sort by cashback.
- 🌍 **Compare countries:** see how the same brand pays in the US, UK and Australia.
- 🤖 **Feed your own tools:** export JSON, CSV or Excel, or call it from the API, Zapier, Make or n8n.

### Input

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

| Field | What it does | Default |
|---|---|---|
| `countries` | Which TopCashback sites to scrape: `US`, `UK`, `AU` | all three |
| `maxStores` | How many stores to check **per country**, in directory order. `0` checks every store (a full US run checks about 9,800 pages and takes about 75 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 store pages where no rate could be read | `false` |

### Output

One row per store and country:

```json
{
  "store": "ASOS",
  "slug": "asos",
  "country": "UK",
  "status": "ok",
  "rateText": "up to 7%",
  "rateType": "percent",
  "rateValue": 7,
  "currency": "GBP",
  "isUpTo": true,
  "url": "https://www.topcashback.co.uk/asos/",
  "checkedAt": "2026-09-27T12:00:00.000Z"
}
```

- `rateType` is `percent` (for example 7% back) or `fixed` (for example £20 back).
- `isUpTo` is `true` when the rate is "up to": it depends on the product or category.

The run's `SUMMARY` record counts the stores in each country's directory and lists the highest percentage rates found.

### Pricing

Pay per store: you are only charged for store rows saved to the dataset. Pages that are not stores, or stores that have left TopCashback, 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 each TopCashback site's public sitemap. The Actor then reads each store page and takes the store's own headline rate, ignoring the banners that advertise other stores. Requests are spaced out to be gentle on TopCashback's sites.

### 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.
- [Rakuten Cashback Scraper](https://apify.com/Smart-Shopping-Data/rakuten-cashback-scraper): every Rakuten (US) store 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 TopCashback's public pages and change often. Check TopCashback before buying. Not affiliated with TopCashback.*

# Actor input Schema

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

Which TopCashback sites to scrape.

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

How many stores to check in each country, in directory order. Set 0 to check every store (thousands per country; a full US run checks about 9,800 pages and takes about 75 minutes).

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

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

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

Only save stores paying at least this percentage. Stores with a fixed amount (e.g. £20) are always saved.

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

Also save store pages where no cashback rate could be read.

## Actor input object example

```json
{
  "countries": [
    "US",
    "UK",
    "AU"
  ],
  "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 = {
    "countries": [
        "US",
        "UK",
        "AU"
    ],
    "maxStores": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("smart-shopping-data/topcashback-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 = {
    "countries": [
        "US",
        "UK",
        "AU",
    ],
    "maxStores": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("smart-shopping-data/topcashback-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 '{
  "countries": [
    "US",
    "UK",
    "AU"
  ],
  "maxStores": 100
}' |
apify call smart-shopping-data/topcashback-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smart-shopping-data/topcashback-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/ntena1CCfKvevcZix/builds/vEc8nUKIiy8iSUiVD/openapi.json