Argos Product Scraper

Scrapes product data from Argos.co.uk by keyword search or category browsing using Playwright. Supports pagination, anti-detection, and dual extraction strategies (__NEXT_DATA__ + DOM fallback).

What it does

This Actor accepts search keywords and/or Argos category paths, navigates the site with Playwright, and extracts detailed product information. It first tries to parse the Next.js __NEXT_DATA__ JSON payload for speed, falling back to full DOM scraping when needed. Built-in anti-detection handles cookie consent, Akamai WAF bypass, and randomised request delays.

Use cases

• Retail arbitrage — compare Argos prices against Amazon and eBay UK
• Price drop tracking — monitor current vs. "was" prices over time
• Market research — analyse product range, ratings, and reviews across Argos categories
• Competitor monitoring — track availability, delivery options, and pricing changes

Input

Field	Type	Required	Default	Description
keywords	array	No	[]	Search keywords (e.g. "gaming chair", "coffee maker", "4k tv")
categoryPaths	array	No	[]	Argos category paths (e.g. "technology/laptops-and-pcs/laptops")
maxPages	integer	No	1	Max listing pages per keyword/category (1–50)
headless	boolean	No	true	Run browser in headless mode
minDelayMs	integer	No	1500	Minimum delay between requests in ms (≥ 500)
maxDelayMs	integer	No	4000	Maximum delay between requests in ms (≥ 1000)
maxRetries	integer	No	3	Max retry attempts per page on failure (1–10)

Note: At least one of keywords or categoryPaths should be provided.

Example input

{
  "keywords": ["gaming chair", "4k tv"],
  "maxPages": 2,
  "headless": true,
  "minDelayMs": 1500,
  "maxDelayMs": 4000
}

Output

Each product is pushed as a separate record to the Apify dataset.

Field	Type	Description
name	string	Product name
brand	string	Brand name
price	string	Current price (e.g. "£199.99")
wasPrice	string	Previous price if on sale
availability	string	Stock status (e.g. "In stock")
rating	number	Average star rating
reviewCount	number	Number of customer reviews
productUrl	string	Full product page URL
imageUrl	string	Product image URL
category	string	Search keyword or category used
description	string	Product description
specifications	array	Product specs as key-value pairs
deliveryInfo	string	Delivery options summary
collectionInfo	string	Click & Collect availability
breadcrumbs	array	Category breadcrumb trail
scrapedAt	string	ISO 8601 date-time of extraction

Example output

{
  "name": "X Rocker Evo Pro 4.1 Gaming Chair",
  "brand": "X Rocker",
  "price": "£199.99",
  "wasPrice": "£249.99",
  "availability": "In stock",
  "rating": 4.3,
  "reviewCount": 812,
  "productUrl": "https://www.argos.co.uk/product/1234567",
  "imageUrl": "https://media.argos.co.uk/image/example.jpg",
  "category": "gaming chair",
  "description": "Multi-platform gaming chair with 4.1 surround sound...",
  "deliveryInfo": "Free delivery",
  "collectionInfo": "Available for Click & Collect",
  "breadcrumbs": ["Home", "Technology", "Gaming", "Gaming Chairs"],
  "scrapedAt": "2026-03-06T14:30:00.000Z"
}

How to run

On Apify Platform

1. Go to the Actor's page on Apify Console
2. Configure keywords or category paths in the UI
3. Click Start and wait for the run to finish
4. Download results from the Dataset tab in JSON, CSV, or Excel format

Locally

$apify run

Deploy to Apify

apify login
apify push

Built with

• Apify SDK — actor framework and dataset management
• Playwright — browser automation with anti-detection capabilities