Actor fail manager
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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.
Do you want to learn more about this Actor?
Get a demoYou can access the Actor fail manager 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
10# Run the Actor and wait for it to finish
11run = client.actor("lukaskrivka/actor-fail-manager").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-startActor fail manager API in Python
The Apify API client for Python is the official library that allows you to use Actor fail manager API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Lukáš Křivka Maintained by Apify
Actor metrics
- 1.4k monthly users
- 15 stars
- 99.9% runs succeeded
- Created in May 2023
- Modified 3 months ago
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