# Sainsbury's Product Search (`apt_marble/sainsbury-s-product-search`) Actor

Search Sainsbury's groceries and get prices, unit prices, ratings and offers.

- **URL**: https://apify.com/apt_marble/sainsbury-s-product-search.md
- **Developed by:** [Hamza](https://apify.com/apt_marble) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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.

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

## Sainsbury's Product Search

Collect grocery products from Sainsbury's UK for any search term: name, image, price, price per unit, availability, customer rating and review count, categories, labels and promotions, EAN barcodes.

### What you get

Every run saves one row per result. The first column is a thumbnail image where one exists. Main columns: thumbnail, productId, name, url, price, unitPrice, unitMeasure, unitMeasureAmount, wasUnitPrice, currency, available, rating, reviewCount, categories, labels, promotions, eans, searchTerm. Extra details the website provides are kept in further columns, and empty ones are left out.

### Use cases

- Grocery price tracking and comparison against other UK supermarkets
- Own-brand and branded product research
- Offer and promotion monitoring
- Barcode (EAN) matching for catalogues

### How to use

1. Fill in the input fields. They come prefilled with a working example, so you can press Start straight away.
2. Run the actor.
3. Download results as JSON, CSV, Excel or HTML, or read them through the Apify API.

### Input example

```json
{
  "searchQueries": [
    "milk",
    "free range eggs"
  ],
  "maxResults": 60
}
```

### Pricing

You pay per result saved. A run that finds nothing costs nothing.

### Notes

If an input is wrong or nothing is found, the run still finishes successfully and the status message tells you what to change, with a working example.

### FAQ

**Which prices do I get?**\
Shelf prices shown on the Sainsbury's website for a standard delivery area, in GBP.

**Can I search for many products at once?**\
Yes. Add one search term per line; each is collected separately and tagged in the searchTerm column.

**What if a search finds nothing?**\
The run still finishes successfully with a message. Try a broader word such as milk.

Only collect publicly available data and follow the website's terms and the laws that apply to you.

# Actor input Schema

## `searchQueries` (type: `array`):

Words to search for on Sainsbury's, one per line.

## `maxResults` (type: `integer`):

How many products to collect for each search term.

## Actor input object example

```json
{
  "searchQueries": [
    "milk",
    "free range eggs"
  ],
  "maxResults": 60
}
```

# 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 = {
    "searchQueries": [
        "milk",
        "free range eggs"
    ],
    "maxResults": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/sainsbury-s-product-search").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 = {
    "searchQueries": [
        "milk",
        "free range eggs",
    ],
    "maxResults": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/sainsbury-s-product-search").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 '{
  "searchQueries": [
    "milk",
    "free range eggs"
  ],
  "maxResults": 60
}' |
apify call apt_marble/sainsbury-s-product-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/sainsbury-s-product-search"
        }
    }
}
```

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/cJ9zG9qXiIgy6MrgH/builds/Opt2yo8pnBsrEYosJ/openapi.json