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Actor fail manager
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Actor fail manager

Actor fail manager

lukaskrivka/actor-fail-manager
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Automatically triggered on a failed run to analyze if the run should be resurrected and to create an error report for the author.

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
9# Run the Actor and wait for it to finish
10run = client.actor("lukaskrivka/actor-fail-manager").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15    print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Apify
Actor metrics
  • 479 monthly users
  • 0 stars
  • 99.9% runs succeeded
  • 14 days response time
  • Created in May 2023
  • Modified about 21 hours ago
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