From firecrawl-pack
Provides Firecrawl SDK patterns for TypeScript and Python: singleton clients, typed scrape wrappers, retry backoff, response validation, reusable scraping services.
How this skill is triggered — by the user, by Claude, or both
Slash command
/firecrawl-pack:firecrawl-sdk-patternsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Production-ready patterns for Firecrawl SDK (`@mendable/firecrawl-js` / `firecrawl-py`). Covers singleton client, typed wrappers, retry with backoff, response validation, and reusable scraping service patterns.
Production-ready patterns for Firecrawl SDK (@mendable/firecrawl-js / firecrawl-py). Covers singleton client, typed wrappers, retry with backoff, response validation, and reusable scraping service patterns.
@mendable/firecrawl-js installed// src/firecrawl/client.ts
import FirecrawlApp from "@mendable/firecrawl-js";
let instance: FirecrawlApp | null = null;
export function getFirecrawl(): FirecrawlApp {
if (!instance) {
if (!process.env.FIRECRAWL_API_KEY) {
throw new Error("FIRECRAWL_API_KEY environment variable is required");
}
instance = new FirecrawlApp({
apiKey: process.env.FIRECRAWL_API_KEY,
...(process.env.FIRECRAWL_API_URL
? { apiUrl: process.env.FIRECRAWL_API_URL }
: {}),
});
}
return instance;
}
// src/firecrawl/scrape.ts
import { getFirecrawl } from "./client";
interface ScrapeResult {
url: string;
title: string;
markdown: string;
links: string[];
scrapedAt: string;
}
export async function scrapePage(
url: string,
options?: { waitFor?: number; includeLinks?: boolean }
): Promise<ScrapeResult> {
const firecrawl = getFirecrawl();
const formats: string[] = ["markdown"];
if (options?.includeLinks) formats.push("links");
const result = await firecrawl.scrapeUrl(url, {
formats,
onlyMainContent: true,
...(options?.waitFor ? { waitFor: options.waitFor } : {}),
});
if (!result.success) {
throw new Error(`Scrape failed for ${url}: ${result.error}`);
}
return {
url: result.metadata?.sourceURL || url,
title: result.metadata?.title || "",
markdown: result.markdown || "",
links: result.links || [],
scrapedAt: new Date().toISOString(),
};
}
// src/firecrawl/retry.ts
export async function withRetry<T>(
operation: () => Promise<T>,
config = { maxRetries: 3, baseDelayMs: 1000, maxDelayMs: 30000 }
): Promise<T> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
return await operation();
} catch (error: any) {
if (attempt === config.maxRetries) throw error;
const status = error.statusCode || error.status;
// Only retry on rate limits (429) and server errors (5xx)
if (status && status !== 429 && status < 500) throw error;
const delay = Math.min(
config.baseDelayMs * Math.pow(2, attempt) + Math.random() * 500,
config.maxDelayMs
);
console.warn(`Firecrawl retry ${attempt + 1}/${config.maxRetries} in ${delay.toFixed(0)}ms`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error("Unreachable");
}
// Usage: await withRetry(() => scrapePage("https://example.com"))
// src/firecrawl/service.ts
import PQueue from "p-queue";
import { scrapePage, type ScrapeResult } from "./scrape";
import { withRetry } from "./retry";
export class FirecrawlService {
private queue: PQueue;
constructor(concurrency = 3) {
this.queue = new PQueue({
concurrency,
interval: 1000,
intervalCap: 5, // max 5 requests per second
});
}
async scrape(url: string): Promise<ScrapeResult> {
return this.queue.add(() => withRetry(() => scrapePage(url)));
}
async scrapeMany(urls: string[]): Promise<ScrapeResult[]> {
return Promise.all(urls.map(url => this.scrape(url)));
}
get pending(): number {
return this.queue.pending;
}
}
import { z } from "zod";
const FirecrawlScrapeResponse = z.object({
success: z.literal(true),
markdown: z.string().min(1),
metadata: z.object({
title: z.string().optional(),
sourceURL: z.string().url(),
statusCode: z.number().optional(),
}),
});
export function validateScrapeResponse(result: unknown) {
const parsed = FirecrawlScrapeResponse.safeParse(result);
if (!parsed.success) {
console.error("Invalid Firecrawl response:", parsed.error.issues);
return null;
}
return parsed.data;
}
# firecrawl_service.py
import os
from firecrawl import FirecrawlApp
from functools import lru_cache
import time
@lru_cache(maxsize=1)
def get_firecrawl() -> FirecrawlApp:
"""Singleton Firecrawl client."""
return FirecrawlApp(api_key=os.environ["FIRECRAWL_API_KEY"])
def scrape_with_retry(url: str, max_retries: int = 3) -> dict:
"""Scrape with exponential backoff."""
for attempt in range(max_retries):
try:
return get_firecrawl().scrape_url(url, params={
"formats": ["markdown"],
"onlyMainContent": True,
})
except Exception as e:
if attempt == max_retries - 1:
raise
delay = (2 ** attempt) + (time.time() % 1)
print(f"Retry {attempt + 1}/{max_retries} in {delay:.1f}s: {e}")
time.sleep(delay)
| Pattern | Use Case | Benefit |
|---|---|---|
| Singleton client | All SDK usage | One instance, consistent config |
| Typed wrapper | Business logic | Compile-time safety |
| Retry + backoff | 429 / 5xx errors | Automatic recovery |
| Queue | Multiple URLs | Respect rate limits |
| Zod validation | Any API response | Catch API changes early |
const clients = new Map<string, FirecrawlApp>();
export function getClientForTenant(tenantId: string): FirecrawlApp {
if (!clients.has(tenantId)) {
const apiKey = getTenantApiKey(tenantId);
clients.set(tenantId, new FirecrawlApp({ apiKey }));
}
return clients.get(tenantId)!;
}
Apply patterns in firecrawl-core-workflow-a for real-world usage.
npx claudepluginhub ia23a-lachnita/claude-code-plugins-plus-fix-skills --plugin firecrawl-pack5plugins reuse this skill
First indexed Jul 10, 2026
Apply production-ready Firecrawl SDK patterns for TypeScript and Python. Use when implementing Firecrawl integrations, building reusable scraping services, or establishing team coding standards for Firecrawl. Trigger with phrases like "firecrawl SDK patterns", "firecrawl best practices", "firecrawl code patterns", "idiomatic firecrawl", "firecrawl wrapper".
Provides production-ready patterns for Apify SDK and apify-client, covering Crawlee crawler selection, data storage, and typed client wrappers with retry and validation.
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.