Monitoring
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Monitoring
apify/monitoring
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This actor monitors your actors' statuses, validates their datasets' data, and displays useful information in an interactive dashboard. And if something happens, you'll get notified via email or Slack.
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
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 "dashboardStatisticsFrequency": "Every day at noon",
11 "validationCheckOptions": `/* global ow */
12 // The `ow` variable represents the ow validation variable. More at https://sindresorhus.com/ow/index.html
13 [
14 {
15 filter: "us", // matches all targets with "us" pattern
16 minItemCount: 5000,
17 schema: {
18 url: ow.string.url,
19 description: ow.string,
20 },
21 },
22 {
23 Ids: ["A1b2C3d4", "B1A2d45"], // matches 2 targets with specific IDs
24 schema: {
25 itemId: ow.number,
26 region: ow.string,
27 },
28 },
29 ]`,
30 "validationCheckFrequency": "Per run",
31 "duplicationCheckFrequency": "Per run"
32};
33
34(async () => {
35 // Run the Actor and wait for it to finish
36 const run = await client.actor("apify/monitoring").call(input);
37
38 // Fetch and print Actor results from the run's dataset (if any)
39 console.log('Results from dataset');
40 const { items } = await client.dataset(run.defaultDatasetId).listItems();
41 items.forEach((item) => {
42 console.dir(item);
43 });
44})();
Developer
Maintained by Apify
Actor metrics
- 6 monthly users
- 64.1% runs succeeded
- Created in Jul 2020
- Modified 8 months ago
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