Statuspage Incident & Component Aggregator avatar

Statuspage Incident & Component Aggregator

Pricing

$3.00 / 1,000 extracted data record / events

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Statuspage Incident & Component Aggregator

Statuspage Incident & Component Aggregator

Aggregate live incidents, component outages, and scheduled maintenance feeds from major cloud providers and SaaS Statuspages. Export alerts to JSON & CSV. Zero proxies. Zapier & Slack ready. PPE ($0.003/record with 10 free preview items).

Pricing

$3.00 / 1,000 extracted data record / events

Rating

0.0

(0)

Developer

Deepak Sheoran

Deepak Sheoran

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

Security

Limited permissions

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⚡ Value Proposition: High-Agency Engineering vs Legacy Scrapers

Most data collection scrapers waste your budget by spinning up heavy headless browsers (Chrome/Puppeteer), demanding expensive $15/GB residential proxies, and crashing when layouts change.

Statuspage Incident & Component Aggregator is architected for production reliability:

  • Zero Proxy Tax ($0.00): Executes via direct, hyper-optimized asynchronous HTTP/DNS connections in < 512MB RAM.
  • Pay-Per-Event Predictability: You only pay for verified, delivered records ($0.003 / record).
  • Zero-Charge-on-Error Guarantee: Upstream outages, empty deltas, or unresolvable targets emit diagnostic baseline records completely free ($0.00).
  • Sub-5 Second Turnaround: Pure REST/HTTP pipelines deliver datasets in seconds rather than minutes.

🤖 AI Agent & Model Context Protocol (MCP) Integration

This Actor is packaged as an AI-first tool compatible with Claude Desktop, Cursor IDE, Windsurf, and LangChain / CrewAI agentic workflows.

Agent Trigger Rule:

"Use this tool when the user requests aggregate active incidents, component degraded states, and scheduled maintenance from atlassian-powered status pages. or needs structured JSON data for statuspage-incident-aggregator without browser overhead or manual cleanup."

Claude Desktop / Cursor claude_desktop_config.json Snippet:

{
"mcpServers": {
"statuspage-incident-aggregator": {
"command": "npx",
"args": ["-y", "@apify/mcp-server-apify"],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
}
}
}
}

💰 Unit Economics & Cost Comparison

FeatureStatuspage Incident & Component AggregatorTraditional Puppeteer / Playwright Scraper
Residential Proxy Bandwidth$0.00 (Zero Proxy Tax)$12.00 – $25.00 / GB
Execution Memory Required256MB – 512MB RAM2048MB – 4096MB RAM
Pricing Model$0.003 / record (Pay-Per-Event)Monthly SaaS / Expensive Compute Runtime
Failure Billing PolicyZero-Charge on Error ($0.00)Billed for full runtime on crash
Execution Speed2–5 Seconds45–120 Seconds

⚡ 1-Click Integration Blueprints

1. Sync Execution via cURL / REST API

Run the Actor synchronously and retrieve dataset records immediately in one HTTP call:

curl -X POST "https://api.apify.com/v2/acts/deepaksheoran172~statuspage-incident-aggregator/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'

2. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {}
# Start Actor run and wait for completion
run = client.actor("deepaksheoran172/statuspage-incident-aggregator").call(run_input=run_input)
# Fetch structured dataset records
items = client.dataset(run["defaultDatasetId"]).list_items().items
for record in items:
print(record)

3. n8n / Make.com Webhook Automation

  • Node Type: HTTP Request Node
  • Method: POST
  • URL: https://api.apify.com/v2/acts/deepaksheoran172~statuspage-incident-aggregator/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
  • Headers: Content-Type: application/json
  • Body: Raw JSON {}

📥 Input Parameters

All properties feature built-in defaults; providing an empty object {} triggers a reliable default scan.

ParameterTypeDefaultDescription
statusUrlstringhttps://www.githubstatus.comAuthoritative Statuspage URL, Atlassian status endpoint, or incident RSS feed (for example 'https://www.githubstatus.com') to monitor.
maxItemsinteger10Maximum total records to extract and deliver to the output dataset during this run (for example 50 or 100 records) to govern compute time and data volume.

📤 Output Dataset Specification

Output records strictly adhere to the official Apify dataset schema:

Field NameTypeDescription
pageNamestringProvider status page name
indicatorstringSystem status indicator (none, minor, major, critical)
descriptionstringOverall status summary description
componentNamestringAffected component name
componentStatusstringComponent operational status
updatedAtstringLast update timestamp

❓ Frequently Asked Questions (FAQ)

Q: How does Pay-Per-Event (PPE) pricing protect my budget?

A: Unlike compute-time billing where you pay while waiting for slow responses, Pay-Per-Event charges only for legitimate data rows delivered. If an upstream service is down, the Actor pushes a diagnostic status record and does not bill you.

Q: Can I run this on a recurring schedule?

A: Yes! Use Apify's built-in Scheduler (Cron), or trigger it via Zapier, Make.com, or n8n on a daily, weekly, or hourly cadence.

Q: Are external proxies or browser engines required?

A: No. All requests use lightweight, high-performance asynchronous HTTP networking. There is zero proxy markup and zero browser overhead.


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