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
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata
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 (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.