Monitoring Runner

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    "limit": 1000,
12    "checkersInput": {
13        "RESOURCE_STATS_CHECKER": {},
14        "DEDUPLICATION_CHECKER": {
15            "uniqueKey": "email"
16        },
17        "SCHEMA_VALIDATOR_CHECKER": {
18            "options": [
19                {
20                    "resourceList": [
21                        "id",
22                        "id"
23                    ],
24                    "resourceRegex": "",
25                    "minItemCount": 100,
26                    "maxItemCount": 5000,
27                    "validationSchema": "{ address: String, open: Boolean }"
28                }
29            ]
30        }
31    },
32    "reportersInput": {
33        "EMAIL_REPORTER": {
34            "sendMailInput": {
35                "to": "info@apify.com",
36                "subject": "My monitoring task report"
37            }
38        },
39        "SLACK_REPORTER": {
40            "slackInput": {
41                "token": "Your token",
42                "message": "Hey, look what I have done!",
43                "channel": "#monitoring"
44            }
45        },
46        "DASHBOARD_REPORTER": {
47            "notifyOnUpdate": true
48        }
49    }
50};
51
52// Run the Actor and wait for it to finish
53const run = await client.actor("apify/monitoring-runner").call(input);
54
55// Fetch and print Actor results from the run's dataset (if any)
56console.log('Results from dataset');
57console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
58const { items } = await client.dataset(run.defaultDatasetId).listItems();
59items.forEach((item) => {
60    console.dir(item);
61});
62
63// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs