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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 more

Node.js

Python

curl

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5    token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10    "config": [
11        {
12            "actorId": "apify/web-scraper",
13            "minDatasetItems": 0,
14            "maxRunTimeSecs": 3600
15        }
16    ]
17};
18
19(async () => {
20    // Run the Actor and wait for it to finish
21    const run = await client.actor("jannovotny/failed-runs-monitor").call(input);
22
23    // Fetch and print Actor results from the run's dataset (if any)
24    console.log('Results from dataset');
25    console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
26    const { items } = await client.dataset(run.defaultDatasetId).listItems();
27    items.forEach((item) => {
28        console.dir(item);
29    });
30})();
31
32// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Developer
Maintained by Community
Actor metrics
  • 3 monthly users
  • 0 stars
  • 99.9% runs succeeded
  • Created in Mar 2019
  • Modified over 1 year ago
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