Scavio for Claude Code + Playwright Research Agent

The Problem

An r/ClaudeAI post shared a Claude Code + Playwright repo for browsing websites. Adding Scavio MCP for the indexed-target retrieval cuts agent runtime substantially because most steps don't need a real browser.

How Scavio Helps

• 60-80% runtime reduction
• Per-task cost cut roughly 5x
• Same skill file routes per query
• Hosted MCP for Scavio side
• Playwright reserved for genuinely browser-required tasks

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "research competitor X across SERP, Reddit, and their pricing page":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Claude Code skill authors, agent builders running research crews, indie founders building B2B prospecting agents

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude code + playwright research agent solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.