# Argos Scraper (`calm_builder/argos-scraper`) Actor

Scrape Argos.co.uk products from departments, categories, search results or product links. Get prices, was-prices, offers, brands, ratings and links, plus optional full product details (EAN, stock, images, variants) and customer reviews. Scan the whole catalogue in one run.

- **URL**: https://apify.com/calm\_builder/argos-scraper.md
- **Developed by:** [Coder](https://apify.com/calm_builder) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Argos Scraper

Scrape **Argos.co.uk** products from whole departments, category pages, search results or individual product links. Get the name, price, was-price, discount, offer text, brand, rating, review count, delivery cost and link for every product — and add **full product details** or **customer reviews** with one switch.

Scan a single category in seconds or the entire Argos catalogue in one run. Results appear in your dataset while the run is still going.

### What can this Argos scraper do?

- 🏬 **Scrape whole departments or the entire catalogue** — pick *Technology*, *Home and furniture*, *Toys* and more, or choose **All departments**. Every sub-category is collected automatically.
- 🔗 **Scrape any category link** — paste links straight from your browser, from big departments down to narrow categories like *Laptops* or *Air fryers*.
- 🔍 **Scrape Argos search results** — type keywords exactly as you would in the Argos search bar.
- 📦 **Scrape individual products** — by link or 7-digit catalogue number.
- 📝 **Full product details** — description, EAN barcode, stock and delivery flags, click & collect, dimensions, images, breadcrumbs and colour/size variants.
- ⭐ **Customer reviews** — rating, title, text, author, date and helpful votes, newest first.
- 💷 **Price and sale filters** — keep only products in a price range or on sale. Filtered-out products are not charged.
- ⚡ **Fast and reliable at scale** — scan hundreds of categories in one run, with results streaming in as they are found.

### What data can you extract from Argos?

| Field                  | Example                                                                                                 |
| ---------------------- | ------------------------------------------------------------------------------------------------------- |
| Product name           | Ninja Pro AF140UK 4.7L Air Fryer - Black                                                                |
| Catalogue number       | 4014016                                                                                                 |
| Price / was-price      | £79.99 / £89.99                                                                                         |
| Discount               | 11.11%                                                                                                  |
| Offer text             | Save £10.00                                                                                             |
| Brand                  | Ninja                                                                                                   |
| Rating / reviews       | 4.89 / 804                                                                                              |
| Delivery cost          | £4.95 (or free delivery)                                                                                |
| Category / search term | Air fryers / "air fryer"                                                                                |
| Link and image         | argos.co.uk/product/4014016                                                                             |
| *With full details:*   | description, EAN, in stock, deliverable, click & collect, dimensions, all images, breadcrumbs, variants |
| *With reviews:*        | rating, title, text, author, date, recommended, helpful votes                                           |

### How to scrape Argos

1. Click **Try for free**.
2. Pick one or more **Departments**, or paste **Category links**, **Search terms** or **Product links** — you can combine them.
3. Set **Maximum products per category or search** (`0` = everything).
4. Optionally turn on **Include full product details** and/or **Include customer reviews**, and set filters.
5. Click **Start** and watch results arrive in the **Output** tab. Download as JSON, CSV, Excel or HTML, or use the API.

### Input example

```json
{
  "categoryUrls": [
    "https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/"
  ],
  "searchTerms": ["air fryer"],
  "productUrls": ["https://www.argos.co.uk/product/9418064"],
  "maxProductsPerSource": 100,
  "includeDetails": false,
  "includeReviews": false,
  "onlyOnSale": false
}
```

To scan the whole catalogue:

```json
{
  "departments": ["all"],
  "maxProductsPerSource": 0
}
```

### Output example

```json
{
  "productId": "4014016",
  "name": "Ninja Pro AF140UK 4.7L Air Fryer - Black",
  "url": "https://www.argos.co.uk/product/4014016",
  "imageUrl": "https://media.4rgos.it/i/Argos/4014016_R_Z001A",
  "price": 79.99,
  "wasPrice": 89.99,
  "discountPercent": 11.11,
  "specialOffer": "Save £10.00",
  "clearance": false,
  "brand": "Ninja",
  "rating": 4.89,
  "reviewCount": 804,
  "deliveryCost": 4.95,
  "freeDelivery": false,
  "category": "Air fryers and fryers",
  "searchTerm": "air fryer",
  "position": 2,
  "scrapedAt": "2026-09-19T18:34:11.835Z"
}
```

With **full product details** on, each product also gets `description`, `ean`, `inStock`, `deliverable`, `collectable`, `maxQuantity`, `images`, `breadcrumbs`, `variants`, `dimensions` and `energy`. With **reviews** on, it gets a `reviews` list:

```json
{
  "reviewId": "1230003376",
  "rating": 5,
  "title": "Good all rounder",
  "text": "Have been using for a few weeks now and so far it's proving to be very useful...",
  "author": "Cook65",
  "submittedAt": "2026-09-17T11:10:59.000+00:00",
  "recommended": true,
  "helpfulYes": 0,
  "helpfulNo": 0
}
```

The **Overview** tab in Output shows the main columns; **All fields** shows everything, including details and reviews.

### How much does it cost to scrape Argos?

This Actor uses pay-per-result pricing — see the **Pricing** tab for current prices. You pay for products (plus full details and reviews only when you turn them on), and never for retries, duplicates or products removed by your filters.

You can set a **maximum cost per run** in the run options; the scraper stops cleanly when it is reached and keeps everything collected so far.

### Tips

- **Price monitoring:** schedule the Actor daily on your categories and export to your sheet or database. `wasPrice`, `discountPercent`, `specialOffer` and `clearance` make deals easy to spot.
- **Big departments:** leave **Include sub-categories** on and set the maximum to `0` to get every product.
- **Duplicates:** a product that appears in several categories or searches is saved (and charged) only once per run.
- **Reviews** are shared across colour and size variants on Argos, so a product's reviews may include ones written about a sibling variant (see `reviewedProductName`).

### Free plan

On Apify's free plan, runs are limited to a small sample: a few sources, a few products from each and a few reviews per product. The run log lists exactly what was limited. Upgrade to any paid Apify plan to remove these limits.

### FAQ

**Is it legal to scrape Argos?**
This scraper only collects publicly available product information that anyone can see on argos.co.uk. It does not access personal data beyond public review nicknames. Always make sure your use complies with applicable laws and Argos' terms.

**Does it work for other countries?**
Argos only operates in the UK (argos.co.uk), which is the site this scraper supports.

**Can I get stock for a specific store?**
Not yet — `inStock`, `deliverable` and `collectable` describe national availability. Let us know in the **Issues** tab if you need store-level stock.

**Something is not working?**
Open an issue in the **Issues** tab with your run link and we'll look into it quickly.

# Actor input Schema

## `departments` (type: `array`):

Pick whole Argos departments to scrape — every sub-category inside them is collected automatically. Choose **All departments** to scan the entire Argos catalogue.

For a narrower scan, use **Category links** below instead.

## `categoryUrls` (type: `array`):

Argos category pages, one per row. Open any category on argos.co.uk and copy the link from your browser.

Examples:

- `https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/`
- `https://www.argos.co.uk/browse/home-and-furniture/c:29351/`

Big departments (like *Technology* or *Home and furniture*) are split into their sub-categories automatically when **Include sub-categories** is on.

## `searchTerms` (type: `array`):

Keywords to search Argos for, one per row — exactly as you would type them into the Argos search bar.

Examples: `air fryer`, `lego star wars`, `65 inch tv`.

## `productUrls` (type: `array`):

Individual Argos product pages, one per row. A product link or just the 7-digit catalogue number both work.

Examples:

- `https://www.argos.co.uk/product/9418064`
- `9418064`

Product links always include full product details.

## `maxProductsPerSource` (type: `integer`):

How many products to collect from **each** category link or search term. Set to `0` to collect every product.

When a department is split into sub-categories, this limit applies to each sub-category. For a full catalogue scan with **All departments**, set this to `0`.

## `includeSubcategories` (type: `boolean`):

When a category link points to a department page (one that shows sub-categories instead of products), collect products from all of its sub-categories.

Turn this off to skip department pages.

## `includeDetails` (type: `boolean`):

Add the full product page data to each product: description, EAN barcode, stock and delivery flags, collection options and more.

Always on for **Product links**.

## `includeReviews` (type: `boolean`):

Add customer reviews to each product, newest first. Reviews are nested inside the product in a `reviews` list, with rating, title, text, author, date and helpful votes.

## `maxReviewsPerProduct` (type: `integer`):

How many reviews to collect for each product. Only applies when **Include customer reviews** is on.

## `minPrice` (type: `integer`):

Only keep products that cost at least this much, in pounds.

## `maxPrice` (type: `integer`):

Only keep products that cost at most this much, in pounds.

## `onlyOnSale` (type: `boolean`):

Only keep products that have a lower price than before (a was-price), a special offer or a clearance tag.

## Actor input object example

```json
{
  "categoryUrls": [
    "https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/"
  ],
  "maxProductsPerSource": 100,
  "includeSubcategories": true,
  "includeDetails": false,
  "includeReviews": false,
  "maxReviewsPerProduct": 20,
  "onlyOnSale": false
}
```

# Actor output Schema

## `products` (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 = {
    "categoryUrls": [
        "https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("calm_builder/argos-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 = { "categoryUrls": ["https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/"] }

# Run the Actor and wait for it to finish
run = client.actor("calm_builder/argos-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 '{
  "categoryUrls": [
    "https://www.argos.co.uk/browse/technology/laptops-and-pcs/laptops/c:30049/"
  ]
}' |
apify call calm_builder/argos-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,calm_builder/argos-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/mfQS2LZbQVozXvkQI/builds/7tm5f6jHik2QmtVAn/openapi.json
