Universal Google Analytics (GA4, UA) dataLayer product scraper avatar
Universal Google Analytics (GA4, UA) dataLayer product scraper
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5 days trial then $3.00/month - No credit card required now

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Universal Google Analytics (GA4, UA) dataLayer product scraper

Universal Google Analytics (GA4, UA) dataLayer product scraper

eloquent_mountain/universal-google-analytics-ga4-ua-datalayer-product-scraper
Try for free

5 days trial then $3.00/month - No credit card required now

Scrapes Google Analytics (GA4, UA) e-commerce product data from the dataLayer of any website and returns all product data in multiple data formats. Also available as an API to integrate with your own or other products.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "start_urls": [
9        { "url": "https://www.bol.com/nl/nl/l/boeken/8299/" },
10        { "url": "https://www.bol.com/nl/nl/ra/kleine-cadeautjes-tot-15-euro/134688/?12194=1-15&rating=all&PROMO=Kidscadeaus_occasions_2021_2912_banner_1_LTI" },
11    ],
12    "cookie_accept": "#js-first-screen-accept-all-button",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("eloquent_mountain/universal-google-analytics-ga4-ua-datalayer-product-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 4 monthly users
  • 1 star
  • 100.0% runs succeeded
  • Created in Jun 2023
  • Modified 2 months ago