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How to Replace Firecrawl for Large-Crawl Jobs

Move large crawl workloads off Firecrawl to Scavio's batch crawl endpoint. Lower cost, same markdown output, higher concurrency.

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Firecrawl is fine for 10-page crawls but teams running 10K+ page weekly refreshes hit rate limits and pricing walls. This tutorial migrates a large-crawl workload to Scavio's /crawl endpoint with higher concurrency and per-page pricing.

Prerequisites

  • An existing Firecrawl workload to migrate
  • A Scavio API key (paid tier recommended for concurrency)
  • Python 3.10+

Walkthrough

Step 1: Inventory your current crawl

Export your Firecrawl seed URLs and frequency.

Python
# From Firecrawl dashboard, export crawl job config:
SEEDS = ['https://docs.site.com']
DEPTH = 3

Step 2: Queue the crawl in Scavio

Scavio returns a job_id for async polling.

Python
import requests, os
API_KEY = os.environ['SCAVIO_API_KEY']

def start_crawl(seed, depth):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': API_KEY},
        json={'query': seed, 'platform': 'crawl', 'depth': depth, 'format': 'markdown'})
    return r.json()['job_id']

Step 3: Poll for completion

Scavio streams pages as they complete.

Python
def poll(job_id):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': API_KEY},
        json={'query': job_id, 'platform': 'crawl_status'})
    return r.json()

Step 4: Save pages as markdown

Same output format as Firecrawl, so downstream ingestion stays the same.

Python
import os
def save(pages, outdir):
    os.makedirs(outdir, exist_ok=True)
    for i, p in enumerate(pages):
        with open(f'{outdir}/page_{i}.md', 'w') as f:
            f.write(p['markdown'])

Step 5: Schedule weekly refresh

Cron or GitHub Actions kicks off the weekly crawl.

# .github/workflows/crawl.yml
on:
  schedule: [{cron: '0 4 * * 1'}]
jobs:
  crawl:
    runs-on: ubuntu-latest
    steps: [{run: python crawl.py}]

Python Example

Python
import os, requests, time

API_KEY = os.environ['SCAVIO_API_KEY']

def crawl(seed, depth=2):
    start = requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': API_KEY},
        json={'query': seed, 'platform': 'crawl', 'depth': depth, 'format': 'markdown'})
    job = start.json()['job_id']
    while True:
        s = requests.post('https://api.scavio.dev/api/v1/search',
            headers={'x-api-key': API_KEY},
            json={'query': job, 'platform': 'crawl_status'}).json()
        if s['status'] == 'done': return s['pages']
        time.sleep(5)

print(len(crawl('https://docs.example.com', depth=2)))

JavaScript Example

JavaScript
const API_KEY = process.env.SCAVIO_API_KEY;
async function crawl(seed, depth = 2) {
  const start = await (await fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST',
    headers: { 'x-api-key': API_KEY, 'Content-Type': 'application/json' },
    body: JSON.stringify({ query: seed, platform: 'crawl', depth, format: 'markdown' })
  })).json();
  const job = start.job_id;
  while (true) {
    const s = await (await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST',
      headers: { 'x-api-key': API_KEY, 'Content-Type': 'application/json' },
      body: JSON.stringify({ query: job, platform: 'crawl_status' })
    })).json();
    if (s.status === 'done') return s.pages;
    await new Promise(r => setTimeout(r, 5000));
  }
}

Expected Output

JSON
Weekly 10K-page crawl completes in 20-40 minutes. Markdown output identical to Firecrawl. Per-page cost: 1 credit.

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Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

An existing Firecrawl workload to migrate. A Scavio API key (paid tier recommended for concurrency). Python 3.10+. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

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Start Building

Move large crawl workloads off Firecrawl to Scavio's batch crawl endpoint. Lower cost, same markdown output, higher concurrency.

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