---

name: firecrawl-observability description: | Set up comprehensive observability for FireCrawl integrations with metrics, traces, and alerts. Use when implementing monitoring for FireCrawl operations, setting up dashboards, or configuring alerting for FireCrawl integration health. Trigger with phrases like "firecrawl monitoring", "firecrawl metrics", "firecrawl observability", "monitor firecrawl", "firecrawl alerts", "firecrawl tracing". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

FireCrawl Observability

Overview

Set up comprehensive observability for FireCrawl integrations.

Prerequisites

• Prometheus or compatible metrics backend
• OpenTelemetry SDK installed
• Grafana or similar dashboarding tool
• AlertManager configured

Metrics Collection

Key Metrics

Prometheus Metrics

Copyimport { Registry, Counter, Histogram, Gauge } from 'prom-client';

const registry = new Registry();

const requestCounter = new Counter({
  name: 'firecrawl_requests_total',
  help: 'Total FireCrawl API requests',
  labelNames: ['method', 'status'],
  registers: [registry],
});

const requestDuration = new Histogram({
  name: 'firecrawl_request_duration_seconds',
  help: 'FireCrawl request duration',
  labelNames: ['method'],
  buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
  registers: [registry],
});

const errorCounter = new Counter({
  name: 'firecrawl_errors_total',
  help: 'FireCrawl errors by type',
  labelNames: ['error_type'],
  registers: [registry],
});

Instrumented Client

Copyasync function instrumentedRequest<T>(
  method: string,
  operation: () => Promise<T>
): Promise<T> {
  const timer = requestDuration.startTimer({ method });

  try {
    const result = await operation();
    requestCounter.inc({ method, status: 'success' });
    return result;
  } catch (error: any) {
    requestCounter.inc({ method, status: 'error' });
    errorCounter.inc({ error_type: error.code || 'unknown' });
    throw error;
  } finally {
    timer();
  }
}

Distributed Tracing

OpenTelemetry Setup

Copyimport { trace, SpanStatusCode } from '@opentelemetry/api';

const tracer = trace.getTracer('firecrawl-client');

async function tracedFireCrawlCall<T>(
  operationName: string,
  operation: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(`firecrawl.${operationName}`, async (span) => {
    try {
      const result = await operation();
      span.setStatus({ code: SpanStatusCode.OK });
      return result;
    } catch (error: any) {
      span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
      span.recordException(error);
      throw error;
    } finally {
      span.end();
    }
  });
}

Logging Strategy

Structured Logging

Copyimport pino from 'pino';

const logger = pino({
  name: 'firecrawl',
  level: process.env.LOG_LEVEL || 'info',
});

function logFireCrawlOperation(
  operation: string,
  data: Record<string, any>,
  duration: number
) {
  logger.info({
    service: 'firecrawl',
    operation,
    duration_ms: duration,
    ...data,
  });
}

Alert Configuration

Prometheus AlertManager Rules

Copy# firecrawl_alerts.yaml
groups:
  - name: firecrawl_alerts
    rules:
      - alert: FireCrawlHighErrorRate
        expr: |
          rate(firecrawl_errors_total[5m]) /
          rate(firecrawl_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "FireCrawl error rate > 5%"

      - alert: FireCrawlHighLatency
        expr: |
          histogram_quantile(0.95,
            rate(firecrawl_request_duration_seconds_bucket[5m])
          ) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "FireCrawl P95 latency > 2s"

      - alert: FireCrawlDown
        expr: up{job="firecrawl"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "FireCrawl integration is down"

Dashboard

Grafana Panel Queries

Copy{
  "panels": [
    {
      "title": "FireCrawl Request Rate",
      "targets": [{
        "expr": "rate(firecrawl_requests_total[5m])"
      }]
    },
    {
      "title": "FireCrawl Latency P50/P95/P99",
      "targets": [{
        "expr": "histogram_quantile(0.5, rate(firecrawl_request_duration_seconds_bucket[5m]))"
      }]
    }
  ]
}

Instructions

Step 1: Set Up Metrics Collection

Implement Prometheus counters, histograms, and gauges for key operations.

Step 2: Add Distributed Tracing

Integrate OpenTelemetry for end-to-end request tracing.

Step 3: Configure Structured Logging

Set up JSON logging with consistent field names.

Step 4: Create Alert Rules

Define Prometheus alerting rules for error rates and latency.

Output

• Metrics collection enabled
• Distributed tracing configured
• Structured logging implemented
• Alert rules deployed

Error Handling

Examples

Quick Metrics Endpoint

Copyapp.get('/metrics', async (req, res) => {
  res.set('Content-Type', registry.contentType);
  res.send(await registry.metrics());
});

Resources

• Prometheus Best Practices
• OpenTelemetry Documentation
• FireCrawl Observability Guide

Next Steps

For incident response, see firecrawl-incident-runbook.