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jeremylongshore

firecrawl-sdk-patterns

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


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

// 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.

Score

Total Score

85/100

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