Argos.co.uk Scraper (Pay Per Result) avatar
Argos.co.uk Scraper (Pay Per Result)

Pricing

$5.00 / 1,000 results

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Argos.co.uk Scraper (Pay Per Result)

Argos.co.uk Scraper (Pay Per Result)

Developed by

Milán Vásárhelyi

Milán Vásárhelyi

Maintained by Community

A scraper for Argos to extract product information, pricing, and availability from both category and item pages. Ideal for analytics, reporting, and integration into e-commerce workflows. Pricing: $0.005/result. 10 results on free trial.

5.0 (1)

Pricing

$5.00 / 1,000 results

1

Total users

2

Monthly users

1

Runs succeeded

>99%

Last modified

9 hours ago

You can access the Argos.co.uk Scraper (Pay Per Result) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "productUrls": ["https://www.argos.co.uk/product/3117433"],
10 "categoryUrls": ["https://www.argos.co.uk/browse/toys/family-games/board-games/c:30423/"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("123webdata/argos-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Argos.co.uk Scraper (Pay Per Result) API in Python

The Apify API client for Python is the official library that allows you to use Argos.co.uk Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: