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Monitoring Runner
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Monitoring Runner

Monitoring Runner

apify/monitoring-runner
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The monitoring runner is a part of the Apify Monitoring Suite (apify/monitoring). See its readme for more information and how to use this.

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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 = {
8    "limit": 1000,
9    "checkersInput": {
10        "RESOURCE_STATS_CHECKER": {},
11        "DEDUPLICATION_CHECKER": { "uniqueKey": "email" },
12        "SCHEMA_VALIDATOR_CHECKER": { "options": [{
13                    "resourceList": [
14                        "id",
15                        "id",
16                    ],
17                    "resourceRegex": "",
18                    "minItemCount": 100,
19                    "maxItemCount": 5000,
20                    "validationSchema": "{ address: String, open: Boolean }",
21                }] },
22    },
23    "reportersInput": {
24        "EMAIL_REPORTER": { "sendMailInput": {
25                "to": "info@apify.com",
26                "subject": "My monitoring task report",
27            } },
28        "SLACK_REPORTER": { "slackInput": {
29                "token": "Your token",
30                "message": "Hey, look what I have done!",
31                "channel": "#monitoring",
32            } },
33        "DASHBOARD_REPORTER": { "notifyOnUpdate": True },
34    },
35}
36
37# Run the Actor and wait for it to finish
38run = client.actor("apify/monitoring-runner").call(run_input=run_input)
39
40# Fetch and print Actor results from the run's dataset (if there are any)
41print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
42for item in client.dataset(run["defaultDatasetId"]).iterate_items():
43    print(item)
44
45# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Apify
Actor metrics
  • 39 monthly users
  • 14 stars
  • 97.2% runs succeeded
  • Created in Aug 2020
  • Modified 3 months ago
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