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Pcexpress Product Scraper

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Pcexpress Product Scraper

Pcexpress Product Scraper

aitorsm/pcexpress-product-scraper
Try for free

1 day trial then $15.00/month - No credit card required now

Efficiently scrape detailed product data from PC Express supermarkets like Loblaws, No Frills, and Maxi. Ideal for pricing, availability, and product listings across multiple categories.

You can access the Pcexpress Product 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    "bannerId": "loblaw",
10    "startUrls": [{ "url": "https://www.loblaws.ca/home-and-living/household-cleaning-products/food-wrap-bags/c/28180?navid=flyout-L2-Food-Wrap-and-Bags" }],
11    "address": "Loblaws 7700 Markham Rd Markham L3S 3K5",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("aitorsm/pcexpress-product-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Pcexpress Product Scraper API in Python

The Apify API client for Python is the official library that allows you to use Pcexpress Product Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Oct 2024

  • Modified a month ago

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