Website Checker Workload
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Website Checker Workload
No credit card required
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.
You can access the Website Checker Workload 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 "website": "https://apify.com",
10 "proxyGroups": [
11 "auto",
12 "BUYPROXIES84958",
13 ],
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("lukaskrivka/website-checker-workload").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startWebsite Checker Workload API in Python
The Apify API client for Python is the official library that allows you to use Website Checker Workload API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Lukáš Křivka- 2 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Nov 2020
- Modified 11 months ago
