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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.

You can access the Failed Runs Monitor programmatically from your own JavaScript 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.

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

Failed Runs Monitor API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Failed Runs Monitor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 3 monthly users
  • 3 stars
  • 100.0% runs succeeded
  • Created in Mar 2019
  • Modified about 2 years ago
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