Openai Status Monitor

Monitor the OpenAI API status page to track uptime, incidents, degraded performance, and model availability. This actor collects current component statuses and historical incident data from the official OpenAI status page.

What does OpenAI Status Monitor do?

This actor queries the OpenAI status API (powered by Statuspage.io) to retrieve the current operational status of all OpenAI services and any active or historical incidents. It collects component statuses, incident details, and scheduled maintenance windows, outputting everything as structured data.

Why monitor OpenAI status?

If your application depends on the OpenAI API, you need to know when services are degraded or experiencing outages. This actor helps DevOps teams, SREs, and developers track the reliability of OpenAI services over time. Use the historical data to measure SLA compliance, identify patterns in outages, and build dashboards for your team.

Input Configuration

• Include History: Toggle to include past incidents and historical data (default: true)
• Day Range: Number of days of incident history to collect (default: 30, max: 365)

Output Data

Each record includes:

• component: Name of the OpenAI service component (API, ChatGPT, GPT-4, etc.)
• status: Current status (operational, degraded_performance, partial_outage, major_outage)
• description: Details about the status or incident
• createdAt: When the component or incident was created
• updatedAt: Most recent update timestamp
• type: Record type (component, active_incident, historical_incident, scheduled_maintenance)
• url: Link to the status page or incident
• scrapedAt: When this data was collected

Use Cases

• DevOps monitoring and alerting for OpenAI API dependencies
• SLA compliance tracking for AI-powered applications
• Historical outage pattern analysis
• Building internal status dashboards
• Automated incident response workflows

Integrations

Connect with Slack, PagerDuty, or email via webhooks for real-time alerts. Export to Google Sheets for tracking over time. Schedule runs every 5 minutes for near real-time monitoring.

Tips for Best Results

Enable history to get a comprehensive view of past incidents. Set the day range based on your reporting needs. For real-time monitoring, schedule the actor to run frequently and connect it to your alerting system via webhooks.

Built with Crawlee and the Apify SDK. See more scrapers by consummate_mandala on Apify Store.