Fast Scrape Without Headless Browsers

The Problem

Puppeteer and Playwright at scale cost 10-30x more than HTTP scraping. Teams end up provisioning Kubernetes clusters full of Chrome instances just to scrape a product listing page. The headless-browser tax eats margin on every scraping-dependent product.

The Scavio Solution

Scavio handles Google, Amazon, Walmart, YouTube, and Reddit via pure HTTP on our side. You call our REST endpoint; we return structured JSON. No browser spin-up, no 500ms-per-page JS render, no 2 GB RAM per worker. 30 credits per query vs $0.30+ per headless page render.

Who It Is For

Teams running headless-browser fleets who want to cut infrastructure 10x.

Key Benefits

• 10-30x cheaper than headless-browser pipelines
• No Kubernetes, Chrome, or browser memory tuning
• Sub-two-second median latency per query
• Predictable credit-based cost per result
• Works on low-memory serverless functions

Python Example

import os, requests
SCAVIO = os.environ['SCAVIO_API_KEY']

def search(q, platform='google'):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers={'x-api-key': SCAVIO},
        json={'platform': platform, 'query': q}, timeout=15)
    return r.json()

print(search('wireless headphones', 'amazon'))

JavaScript Example

async function search(q, platform = 'google') {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST',
    headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' },
    body: JSON.stringify({ platform, query: q })
  });
  return r.json();
}

console.log(await search('wireless headphones', 'amazon'));

Platforms Used