![Website Checker Workload avatar](https://images.apifyusercontent.com/kgp06WMxaJRaICLuzj_dc5_MHvimHBKTPH-ODCzyDfQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9rT2xKaTZmbjVMNUdGS2g1UC94c2FyQkhuWWFZbkd2Tks1ci1kZXRlY3RpdmVzLXZlY3Rvci0yODU0MDAwLmpwZw.webp)
Website Checker Workload
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View all Actors![Website Checker Workload](https://images.apifyusercontent.com/kgp06WMxaJRaICLuzj_dc5_MHvimHBKTPH-ODCzyDfQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9rT2xKaTZmbjVMNUdGS2g1UC94c2FyQkhuWWFZbkd2Tks1ci1kZXRlY3RpdmVzLXZlY3Rvci0yODU0MDAwLmpwZw.webp)
![Website Checker Workload](https://images.apifyusercontent.com/kgp06WMxaJRaICLuzj_dc5_MHvimHBKTPH-ODCzyDfQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9rT2xKaTZmbjVMNUdGS2g1UC94c2FyQkhuWWFZbkd2Tks1ci1kZXRlY3RpdmVzLXZlY3Rvci0yODU0MDAwLmpwZw.webp)
Website Checker Workload
lukaskrivka/website-checker-workload
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Creates reasonable workloads for analyzing any website with the Website Checker actor and combines the resulting data. This is the easiest way to analyze any website for compute unit usage and anti-scraping blocking.
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 "website": "https://apify.com",
9 "proxyGroups": [
10 "auto",
11 "BUYPROXIES84958",
12 ],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("lukaskrivka/website-checker-workload").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
- 2 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Nov 2020
- Modified 10 months ago
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