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Failed Runs Monitor

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Developed by

Jan Novotný

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.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

a month ago

Automation

Open source

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

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = { "config": [{
9            "actorId": "apify/web-scraper",
10            "minDatasetItems": 0,
11            "maxRunTimeSecs": 3600,
12        }] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("jannovotny/failed-runs-monitor").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Failed Runs Monitor API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Failed Runs Monitor API in JavaScript

Failed Runs Monitor API through CLI

Failed Runs Monitor OpenAPI definition

Failed Runs Monitor API

Details of runs

useful-tools/details-of-runs

This Actor is capable to list and store your Runs into the Dataset with all the necessary Run related details (like stats, usage, current pricing).

Useful tools

Slack Message Generator

katerinahronik/slack-message

This actor sends messages to Slack automatically. It can be used instead of email notifications and is ideal to combine with other actors monitoring successful runs, errors, etc.

Kateřina Hroníková

114

Validate Dataset(s) with JSON Schema

jaroslavhejlek/validate-dataset-with-json-schema

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.

Jaroslav Hejlek

Rebirth failed requests

lukaskrivka/rebirth-failed-requests

Rebirth failed requests of past runs into a pristine state with no retries so you can rescrape them by resurrecting the run.

Lukáš Křivka

Append to dataset

valek.josef/append-to-dataset

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

Josef Válek

Restore failed requests

onidivo/restore-failed-requests

Restore failed requests of a run from the dataset to the request queue.

Onidivo Technologies

Actor Probe

cyberfly/actor-probe

Reports performance stats of any actor calculated from its runs on a daily and weekly basis. Notification will be skipped if no new runs are found since the last report.

Vasek Codey Vlcek

Facebook Video Search Scraper

apify/facebook-video-search-scraper

Extract Facebook data from videos that match your search query. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

Apify

Log Scanner

lukaskrivka/log-scanner

Log scanner helps you to find particular text in your log files. It can scan [Apify](https://apify.com/) runs, tasks, or actors but also arbitrary text files. If you ever had a problem finding that one error in a thousand runs, this is a tool to use.

Lukáš Křivka