Failed Runs Monitor
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Failed Runs Monitor
jannovotny/failed-runs-monitor
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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 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 = { "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)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDeveloper
Jan NovotnýMaintained by Community
Actor metrics
- 3 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Mar 2019
- Modified almost 2 years ago
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