# ASDA UK Grocery Scraper (`illehius/asda-scraper`) Actor

Scrapes product listings from groceries.asda.com — returns names, prices, unit prices, brands, and sizes for any search query.

- **URL**: https://apify.com/illehius/asda-scraper.md
- **Developed by:** [Siddhant](https://apify.com/illehius) (community)
- **Categories:** Automation, E-commerce, Developer tools
- **Features:** Limited permissions
- **Stats:** 72 total users, 8 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 1,000 product 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/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

## ASDA UK Grocery Scraper

Scrape product listings from [groceries.asda.com](https://groceries.asda.com) by search query. Returns structured data for every product found — including name, brand, price, unit price, size, offer status, and direct product URL.

### Features

- Search for any product by keyword (e.g. "beans", "semi skimmed milk", "pasta")
- Multiple queries in a single run
- Extracts prices via regex from Chakra UI dynamic markup
- Unit pricing with normalised measures (per kg, per litre, etc.)
- Brand detection including ASDA own-brand labels (ASDA, Just Essentials, Extra Special, Farm Stores, Smartprice)
- Rollback and promotional offer detection
- Configurable result limit per query

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `queries` | string\[] | List of search queries | *required* |
| `maxResultsPerQuery` | integer | Max products per query (1-100) | 20 |

#### Example input

```json
{
    "queries": ["baked beans", "whole milk", "sourdough"],
    "maxResultsPerQuery": 10
}
```

### Output

Each result in the dataset contains:

| Field | Type | Description |
|-------|------|-------------|
| `store` | string | Always `"asda"` |
| `query` | string | The search query that produced this result |
| `name` | string | Product name |
| `brand` | string | Brand name (e.g. `"ASDA"`, `"Heinz"`) |
| `price` | number | Current price in GBP |
| `unitPrice` | number | Price per unit (e.g. per kg, per litre) |
| `unitPriceMeasure` | string | Unit measure (e.g. `"per kg"`, `"per litre"`) |
| `unitSize` | string | Product size (e.g. `"400g"`, `"1 litre"`) |
| `onOffer` | boolean | Whether the product has a Rollback or promotional offer |
| `offerDescription` | string | Offer details (e.g. Rollback text) |
| `imageUrl` | string | Product image URL |
| `productUrl` | string | Direct link to product page on groceries.asda.com |
| `scrapedAt` | string | ISO 8601 timestamp |

#### Example output

```json
{
    "store": "asda",
    "query": "beans",
    "name": "ASDA Baked Beans in Tomato Sauce 410g",
    "brand": "ASDA",
    "price": 0.32,
    "unitPrice": 0.78,
    "unitPriceMeasure": "per kg",
    "unitSize": "410g",
    "onOffer": false,
    "offerDescription": null,
    "imageUrl": "https://ui.assets-asda.com/dm/asdagroceries/...",
    "productUrl": "https://groceries.asda.com/groceries/product/beans/asda-baked-beans-410g/12345",
    "scrapedAt": "2026-03-28T12:00:00.000Z"
}
```

### Use cases

- **Price monitoring** — track ASDA prices over time and detect Rollback deals
- **Basket comparison** — compare grocery costs across UK supermarkets
- **Market research** — analyse competitive pricing and product ranges
- **Deal alerts** — build notifications for Rollback and promotional offers
- **Shopping apps** — power product search and comparison features

### Notes

- ASDA uses Chakra UI with dynamically generated CSS classes — prices are extracted via regex rather than class selectors
- Product IDs are extracted from URLs and `data-testid` attributes on favourite buttons
- CSS classes may change when ASDA redeploys their site — if you notice missing data, please open an issue

# Actor input Schema

## `queries` (type: `array`):

List of product search queries (e.g. \["beans", "milk", "bread"])

## `maxResultsPerQuery` (type: `integer`):

Maximum number of products to return per search query

## Actor input object example

```json
{
  "queries": [
    "baked beans",
    "whole milk",
    "sourdough"
  ],
  "maxResultsPerQuery": 10
}
```

# Actor output Schema

## `products` (type: `string`):

Dataset of scraped ASDA product listings — each row contains name, brand, price, unitPrice, unitPriceMeasure, unitSize, onOffer, offerDescription, imageUrl, productUrl, gtin, and scrapedAt.

# 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 = {
    "queries": [
        "baked beans",
        "whole milk",
        "sourdough"
    ],
    "maxResultsPerQuery": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("illehius/asda-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 = {
    "queries": [
        "baked beans",
        "whole milk",
        "sourdough",
    ],
    "maxResultsPerQuery": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("illehius/asda-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 '{
  "queries": [
    "baked beans",
    "whole milk",
    "sourdough"
  ],
  "maxResultsPerQuery": 10
}' |
apify call illehius/asda-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,illehius/asda-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/wJS45AfUBqIxkUhUY/builds/05vkpWQJOFmfBGuVg/openapi.json