Claude-skill-registry firecrawl-sdk-patterns

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/firecrawl-sdk-patterns" ~/.claude/skills/majiayu000-claude-skill-registry-firecrawl-sdk-patterns && rm -rf "$T"
manifest: skills/data/firecrawl-sdk-patterns/SKILL.md
source content

FireCrawl SDK Patterns

Overview

Production-ready patterns for FireCrawl SDK usage in TypeScript and Python.

Prerequisites

  • Completed
    firecrawl-install-auth
    setup
  • Familiarity with async/await patterns
  • Understanding of error handling best practices

Instructions

Step 1: Implement Singleton Pattern (Recommended)

// src/firecrawl/client.ts
import { FireCrawlClient } from '@firecrawl/sdk';

let instance: FireCrawlClient | null = null;

export function getFireCrawlClient(): FireCrawlClient {
  if (!instance) {
    instance = new FireCrawlClient({
      apiKey: process.env.FIRECRAWL_API_KEY!,
      // Additional options
    });
  }
  return instance;
}

Step 2: Add Error Handling Wrapper

import { FireCrawlError } from '@firecrawl/sdk';

async function safeFireCrawlCall<T>(
  operation: () => Promise<T>
): Promise<{ data: T | null; error: Error | null }> {
  try {
    const data = await operation();
    return { data, error: null };
  } catch (err) {
    if (err instanceof FireCrawlError) {
      console.error({
        code: err.code,
        message: err.message,
      });
    }
    return { data: null, error: err as Error };
  }
}

Step 3: Implement Retry Logic

async function withRetry<T>(
  operation: () => Promise<T>,
  maxRetries = 3,
  backoffMs = 1000
): Promise<T> {
  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      return await operation();
    } catch (err) {
      if (attempt === maxRetries) throw err;
      const delay = backoffMs * Math.pow(2, attempt - 1);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Unreachable');
}

Output

  • Type-safe client singleton
  • Robust error handling with structured logging
  • Automatic retry with exponential backoff
  • Runtime validation for API responses

Error Handling

PatternUse CaseBenefit
Safe wrapperAll API callsPrevents uncaught exceptions
Retry logicTransient failuresImproves reliability
Type guardsResponse validationCatches API changes
LoggingAll operationsDebugging and monitoring

Examples

Factory Pattern (Multi-tenant)

const clients = new Map<string, FireCrawlClient>();

export function getClientForTenant(tenantId: string): FireCrawlClient {
  if (!clients.has(tenantId)) {
    const apiKey = getTenantApiKey(tenantId);
    clients.set(tenantId, new FireCrawlClient({ apiKey }));
  }
  return clients.get(tenantId)!;
}

Python Context Manager

from contextlib import asynccontextmanager
from firecrawl import FireCrawlClient

@asynccontextmanager
async def get_firecrawl_client():
    client = FireCrawlClient()
    try:
        yield client
    finally:
        await client.close()

Zod Validation

import { z } from 'zod';

const firecrawlResponseSchema = z.object({
  id: z.string(),
  status: z.enum(['active', 'inactive']),
  createdAt: z.string().datetime(),
});

Resources

Next Steps

Apply patterns in

firecrawl-core-workflow-a
for real-world usage.