firecrawl-reliability-patterns

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Implement FireCrawl reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant FireCrawl integrations, implementing retry strategies, or adding resilience to production FireCrawl services. Trigger with phrases like "firecrawl reliability", "firecrawl circuit breaker", "firecrawl idempotent", "firecrawl resilience", "firecrawl fallback", "firecrawl bulkhead".

Install

mkdir -p .claude/skills/firecrawl-reliability-patterns && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2760" && unzip -o skill.zip -d .claude/skills/firecrawl-reliability-patterns && rm skill.zip

Installs to .claude/skills/firecrawl-reliability-patterns

About this skill

Firecrawl Reliability Patterns

Overview

Production reliability patterns for Firecrawl web scraping pipelines. Firecrawl's async crawl model, JavaScript rendering, and credit-based pricing create specific reliability challenges around job completion, content quality, and cost control.

Prerequisites

  • Firecrawl API key configured
  • Understanding of async job polling
  • Queue infrastructure for retry handling

Instructions

Step 1: Robust Crawl Job Polling

Crawl jobs can take minutes. Implement proper polling with timeout and failure detection.

import FirecrawlApp from '@mendable/firecrawl-js';

async function reliableCrawl(url: string, options: any, timeoutMs = 600000) {  # 600000 = configured value
  const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
  const crawl = await firecrawl.asyncCrawlUrl(url, options);
  const deadline = Date.now() + timeoutMs;
  let pollInterval = 2000;  # 2000: 2 seconds in ms

  while (Date.now() < deadline) {
    const status = await firecrawl.checkCrawlStatus(crawl.id);
    if (status.status === 'completed') return status;
    if (status.status === 'failed') throw new Error(`Crawl failed: ${status.error}`);

    await new Promise(r => setTimeout(r, pollInterval));
    pollInterval = Math.min(pollInterval * 1.5, 30000);  // back off  # 30000: 30 seconds in ms
  }
  throw new Error(`Crawl timed out after ${timeoutMs}ms`);
}

Step 2: Content Quality Validation

Scraped pages may return empty or boilerplate content. Validate before processing.

interface ScrapedPage {
  url: string;
  markdown: string;
  metadata: { title?: string; statusCode?: number };
}

function validateContent(page: ScrapedPage): boolean {
  if (!page.markdown || page.markdown.length < 100) return false;
  if (page.metadata.statusCode && page.metadata.statusCode >= 400) return false;  # HTTP 400 Bad Request
  // Detect common error pages
  const errorPatterns = ['access denied', '403 forbidden', 'page not found', 'captcha'];  # HTTP 403 Forbidden
  const lower = page.markdown.toLowerCase();
  return !errorPatterns.some(p => lower.includes(p));
}

Step 3: Credit-Aware Processing

Track credit usage per crawl to prevent budget overruns.

class CreditTracker {
  private dailyUsage: Map<string, number> = new Map();
  private dailyLimit: number;

  constructor(dailyLimit = 5000) { this.dailyLimit = dailyLimit; }  # 5000: 5 seconds in ms

  canAfford(estimatedPages: number): boolean {
    const today = new Date().toISOString().split('T')[0];
    const used = this.dailyUsage.get(today) || 0;
    return (used + estimatedPages) <= this.dailyLimit;
  }

  record(pages: number) {
    const today = new Date().toISOString().split('T')[0];
    this.dailyUsage.set(today, (this.dailyUsage.get(today) || 0) + pages);
  }
}

Step 4: Fallback from Crawl to Individual Scrape

If a full crawl fails, fall back to scraping critical pages individually.

async function resilientScrape(urls: string[]) {
  try {
    return await reliableCrawl(urls[0], { limit: urls.length });
  } catch (crawlError) {
    console.warn('Crawl failed, falling back to individual scrapes');
    const results = [];
    for (const url of urls) {
      try {
        const result = await firecrawl.scrapeUrl(url, {
          formats: ['markdown'], onlyMainContent: true
        });
        results.push(result);
      } catch (e) { console.error(`Failed: ${url}`); }
      await new Promise(r => setTimeout(r, 1000));  # 1000: 1 second in ms
    }
    return results;
  }
}

Error Handling

IssueCauseSolution
Crawl times outLarge site, slow JS renderingSet page limits and timeout
Empty markdownAnti-bot or JS-rendered contentIncrease waitFor, try individual scrape
Credit overrunNo budget trackingImplement credit-aware circuit breaker
Partial crawl resultsSite structure changesValidate content, retry failed pages

Examples

Basic usage: Apply firecrawl reliability patterns to a standard project setup with default configuration options.

Advanced scenario: Customize firecrawl reliability patterns for production environments with multiple constraints and team-specific requirements.

Resources

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

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