The Problem
n8n workflows that need web data use HTTP Request nodes with fragile scraping logic. MCP search provides structured data but lacks the visual workflow orchestration that makes n8n powerful. Combining both gives structured data inside visual workflows.
How Scavio Helps
- n8n handles workflow orchestration: triggers, conditionals, loops, error handling
- MCP or HTTP Request node calls Scavio API for structured search data
- Visual workflow builder makes search-enriched pipelines accessible to non-developers
- Combine Google and Maps data in a single n8n workflow for lead enrichment
- Cost: $0.005/search query, billed only for actual API calls within workflows
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Google Maps
Local business search with ratings and contact info
Quick Start: Python Example
Here is a quick example searching Google for "n8n search api integration workflow automation":
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 n8n power users, automation engineers, and no-code teams building data-enriched workflows
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your n8n mcp hybrid automation 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.