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Failed Runs Monitor
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Failed Runs Monitor

Failed Runs Monitor

jannovotny/failed-runs-monitor
Try for free

No credit card required

This actor will let you know about failed or time outed runs of your actors and tasks via Slack or email. It can also notice you about successful runs with empty dataset, check JSON schema of dataset items, or about runs that are running for too long.

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 mode

Node.js

Python

curl

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 = { "config": [{
8            "actorId": "apify/web-scraper",
9            "minDatasetItems": 0,
10            "maxRunTimeSecs": 3600,
11        }] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("jannovotny/failed-runs-monitor").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17for item in client.dataset(run["defaultDatasetId"]).iterate_items():
18    print(item)
Developer
Maintained by Community
Actor metrics
  • 3 monthly users
  • 99.7% runs succeeded
  • 0.0 days response time
  • Created in Mar 2019
  • Modified over 1 year ago
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