Skills Development Optimize Firecrawl Scraping Performance Techniques

Optimize Firecrawl Scraping Performance Techniques

v20260423
firecrawl-performance-tuning
This comprehensive guide details advanced techniques to significantly boost Firecrawl scraping speed and efficiency. Learn how to optimize performance by selecting the most efficient output formats (e.g., Markdown over HTML), implementing URL caching, utilizing batch scraping for multiple URLs, and tuning delay parameters for dynamic Single Page Applications (SPAs). Mastering these methods is crucial for building high-throughput, cost-effective web scraping pipelines.
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Overview

Firecrawl Performance Tuning

Overview

Optimize Firecrawl API performance by choosing efficient scraping modes, caching results, using batch endpoints, and minimizing unnecessary rendering. Key levers: format selection (markdown vs HTML vs screenshot), waitFor tuning, onlyMainContent, and batch vs individual scraping.

Latency Benchmarks

OperationTypicalWith JS WaitWith Screenshot
scrapeUrl (markdown)2-5s5-10s8-15s
scrapeUrl (extract)3-8s8-15sN/A
crawlUrl (10 pages)20-40s40-80sN/A
mapUrl1-3sN/AN/A
batchScrapeUrls (10)10-20s20-40sN/A

Instructions

Step 1: Minimize Formats (Biggest Win)

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

const firecrawl = new FirecrawlApp({
  apiKey: process.env.FIRECRAWL_API_KEY!,
});

// SLOW: requesting everything
const slow = await firecrawl.scrapeUrl(url, {
  formats: ["markdown", "html", "links", "screenshot"],
  // screenshot + full HTML = 3-5x slower
});

// FAST: request only what you need
const fast = await firecrawl.scrapeUrl(url, {
  formats: ["markdown"],   // markdown only = fastest
  onlyMainContent: true,   // skip nav/footer/sidebar
});

Step 2: Tune waitFor for JS-Heavy Pages

// Default: no JS wait (fastest, works for static sites)
const staticResult = await firecrawl.scrapeUrl("https://docs.example.com", {
  formats: ["markdown"],
  // No waitFor needed — content is in initial HTML
});

// SPA/dynamic pages: add minimal wait
const spaResult = await firecrawl.scrapeUrl("https://app.example.com", {
  formats: ["markdown"],
  waitFor: 3000,  // 3s — enough for most SPAs
  onlyMainContent: true,
});

// Heavy interactive page: use actions instead of long wait
const heavyResult = await firecrawl.scrapeUrl("https://dashboard.example.com", {
  formats: ["markdown"],
  actions: [
    { type: "wait", selector: ".data-table" },  // wait for specific element
    { type: "scroll", direction: "down" },        // trigger lazy loading
  ],
});

Step 3: Cache Scraped Content

import { LRUCache } from "lru-cache";
import { createHash } from "crypto";

const scrapeCache = new LRUCache<string, any>({
  max: 500,          // max 500 cached pages
  ttl: 3600000,      // 1 hour TTL
});

async function cachedScrape(url: string) {
  const key = createHash("md5").update(url).digest("hex");
  const cached = scrapeCache.get(key);
  if (cached) {
    console.log(`Cache hit: ${url}`);
    return cached;
  }

  const result = await firecrawl.scrapeUrl(url, {
    formats: ["markdown"],
    onlyMainContent: true,
  });

  if (result.success) {
    scrapeCache.set(key, result);
  }
  return result;
}
// Typical savings: 50-80% credit reduction for repeated scrapes

Step 4: Use Batch Scrape for Multiple URLs

// SLOW: sequential individual scrapes
const urls = ["https://a.com", "https://b.com", "https://c.com"];
for (const url of urls) {
  await firecrawl.scrapeUrl(url, { formats: ["markdown"] }); // 3 API calls
}

// FAST: single batch scrape call
const batchResult = await firecrawl.batchScrapeUrls(urls, {
  formats: ["markdown"],
  onlyMainContent: true,
});
// 1 API call, internally parallelized

Step 5: Map Before Crawl (Save Credits)

// EXPENSIVE: crawl everything, filter later
await firecrawl.crawlUrl("https://docs.example.com", { limit: 1000 });

// CHEAPER: map first (1 credit), then scrape only what you need
const map = await firecrawl.mapUrl("https://docs.example.com");
const apiDocs = (map.links || []).filter(url =>
  url.includes("/api/") || url.includes("/reference/")
);
console.log(`Map: ${map.links?.length} total, ${apiDocs.length} relevant`);

// Batch scrape only relevant URLs
const result = await firecrawl.batchScrapeUrls(apiDocs.slice(0, 50), {
  formats: ["markdown"],
});

Step 6: Measure Scrape Performance

async function timedScrape(url: string) {
  const start = Date.now();
  const result = await firecrawl.scrapeUrl(url, { formats: ["markdown"] });
  const duration = Date.now() - start;

  console.log({
    url,
    durationMs: duration,
    contentLength: result.markdown?.length || 0,
    success: result.success,
    charsPerSecond: Math.round((result.markdown?.length || 0) / (duration / 1000)),
  });

  return result;
}

Error Handling

IssueCauseSolution
Scrape > 10sScreenshot or full HTML requestedUse formats: ["markdown"] only
Empty contentwaitFor too short for SPAIncrease or use actions with selector
High credit burnScraping same URLs repeatedlyImplement URL-based caching
Batch timeoutToo many URLs in one batchSplit into chunks of 50
Cache stale dataTTL too longReduce TTL or add cache invalidation

Examples

Performance Comparison Script

const url = "https://docs.firecrawl.dev";

// Compare different format configurations
for (const formats of [["markdown"], ["markdown", "html"], ["markdown", "html", "screenshot"]]) {
  const start = Date.now();
  await firecrawl.scrapeUrl(url, { formats: formats as any, onlyMainContent: true });
  console.log(`${formats.join(",")}: ${Date.now() - start}ms`);
}

Resources

Next Steps

For cost optimization, see firecrawl-cost-tuning.

Info
Category Development
Name firecrawl-performance-tuning
Version v20260423
Size 6.17KB
Updated At 2026-04-28
Language