uptimerobot_exporter is a Prometheus exporter for Uptimerobot.

The easier way to setup this exporter is to use the Docker image on Docker Hub. Using a docker-compose.yaml:

version: "3"

services:
uptimerobot_exporter:
    image: paolobasso/uptimerobot_exporter
    container_name: uptimerobot_exporter
    environment:
    - UPTIMEROBOT_READ_API_KEY=your-api-key
    - INTERVAL_SECONDS=300
    - LOG_LEVEL=INFO
    - PORT=8000
    ports:
    - 8000:8000
    restart: unless-stopped

If Prometheus is in the same server an internal Docker network without exposing the metrics to the internet would be preferred.

Add a job to your Prometheus configs:

- job_name: 'uptimerobot'
   scrape_interval: 5m
   scrape_timeout: 300s # Same as INTERVAL_SECONDS env vars
   static_configs:
     - targets: 
        - 'localhost:8000' # Use the PORT env var (Default is 8000)

You can find the Grafana dashboard to visualize the metrics exposed by this exporter here and it looks like this:

I needed a Prometheus exporter for Uptimerobot and the existing ones that I found are either old, not updated, poorly documented or they expose not enough metrics. It was also an opportunity to learn more about Prometheus and Python.

1. Prometheus
2. Uptimerobot
3. Grafana
4. Python
5. Docker
6. GitHub Actions

1. Using Uptimerobot to monitor websites uptime
2. Creating a basic Prometheus Exporter with Python
3. Creating a Grafana Dashboard from scratch
4. Dockerizing a simple Python application
5. Auto publishing Docker images to Docker Hub with GitHub actions
6. Tesing a simple python application
7. Self Hosting Prometheus
8. Self Hosting Grafana
9. Python Docstrings

GNU AFFERO GENERAL PUBLIC LICENSE Version 3