Monitoring Runner avatar

Monitoring Runner

Try for free

No credit card required

View all Actors
Monitoring Runner

Monitoring Runner

apify/monitoring-runner
Try for free

No credit card required

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

Do you want to learn more about this Actor?

Get a demo

You can access the Monitoring Runner programmatically from your own Python 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.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "limit": 1000,
10    "checkersInput": {
11        "RESOURCE_STATS_CHECKER": {},
12        "DEDUPLICATION_CHECKER": { "uniqueKey": "email" },
13        "SCHEMA_VALIDATOR_CHECKER": { "options": [{
14                    "resourceList": [
15                        "id",
16                        "id",
17                    ],
18                    "resourceRegex": "",
19                    "minItemCount": 100,
20                    "maxItemCount": 5000,
21                    "validationSchema": "{ address: String, open: Boolean }",
22                }] },
23    },
24    "reportersInput": {
25        "EMAIL_REPORTER": { "sendMailInput": {
26                "to": "info@apify.com",
27                "subject": "My monitoring task report",
28            } },
29        "SLACK_REPORTER": { "slackInput": {
30                "token": "Your token",
31                "message": "Hey, look what I have done!",
32                "channel": "#monitoring",
33            } },
34        "DASHBOARD_REPORTER": { "notifyOnUpdate": True },
35    },
36}
37
38# Run the Actor and wait for it to finish
39run = client.actor("apify/monitoring-runner").call(run_input=run_input)
40
41# Fetch and print Actor results from the run's dataset (if there are any)
42print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
43for item in client.dataset(run["defaultDatasetId"]).iterate_items():
44    print(item)
45
46# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Monitoring Runner API in Python

The Apify API client for Python is the official library that allows you to use Monitoring Runner API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 37 monthly users
  • 14 stars
  • 97.3% runs succeeded
  • Created in Aug 2020
  • Modified 5 months ago
Categories