---

name: firecrawl-sdk-patterns description: | Apply production-ready FireCrawl SDK patterns for TypeScript and Python. Use when implementing FireCrawl integrations, refactoring SDK usage, or establishing team coding standards for FireCrawl. Trigger with phrases like "firecrawl SDK patterns", "firecrawl best practices", "firecrawl code patterns", "idiomatic firecrawl". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

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

Pattern	Use Case	Benefit
Safe wrapper	All API calls	Prevents uncaught exceptions
Retry logic	Transient failures	Improves reliability
Type guards	Response validation	Catches API changes
Logging	All operations	Debugging 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

• FireCrawl SDK Reference
• FireCrawl API Types
• Zod Documentation

Next Steps

Apply patterns in firecrawl-core-workflow-a for real-world usage.