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Canadiantire.ca Scraper

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Canadiantire.ca Scraper

Canadiantire.ca Scraper

azzouzana/canadiantire-ca-scraper
Try for free

3 days trial then $35.00/month - No credit card required now

👉 This actor scrapes canadiantire search results, categories and direct products pages. Get Images, ratings, prices, variants & a lot more information 🔥 👉 Fast, cheap & resilient 👌 Bring your URLs & you're good to go 🚀 👉 Export your results to json, excel, csv & many others formats.

You can access the Canadiantire.ca 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 = { "startUrls": [{ "url": "https://www.canadiantire.ca/en/pdp/mastercraft-8-gallon-oil-free-portable-air-compressor-150-psi-1-5hp-0589316p.html?loc=plph;store=650" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("azzouzana/canadiantire-ca-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Canadiantire.ca Scraper API in Python

The Apify API client for Python is the official library that allows you to use Canadiantire.ca 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
  • 2 stars
  • 100.0% runs succeeded
  • Created in Feb 2023
  • Modified 22 days ago