Sainsbury's Scraper
3 days trial then $30.00/month - No credit card required now
Sainsbury's Scraper
3 days trial then $30.00/month - No credit card required now
Scrape product data from Sainsbury's Groceries webiste, the biggest supermarket chain based in the United Kingdom. Extract price, image, description, nutrition info, promotions and more. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed.
You can access the Sainsbury's Scraper programmatically from your own Python 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 "start_urls": [
10 { "url": "https://www.sainsburys.co.uk/gol-ui/product/ben---jerrys-ice-cream-cookie-dough-500ml" },
11 { "url": "https://www.sainsburys.co.uk/gol-ui/SearchResults/fruit" },
12 ],
13 "max_items": 30,
14 "proxySettings": { "useApifyProxy": True },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("natanielsantos/sainsbury-s-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startSainsbury's Scraper API in Python
The Apify API client for Python is the official library that allows you to use Sainsbury's Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Nataniel SantosActor Metrics
7 monthly users
-
2 stars
>99% runs succeeded
Created in Jun 2023
Modified 3 months ago
