Automatisation de la recherche MCP n8n

import requests, os, json

# This Python script replicates what the n8n workflow does,
# useful for testing the API call before configuring n8n nodes.

API_KEY = os.environ["SCAVIO_API_KEY"]

# Option 1: Direct search API (simpler)
def search_direct(query: str, platform: str = "google") -> dict:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY, "Content-Type": "application/json"},
        json={"query": query, "platform": platform},
        timeout=15,
    )
    resp.raise_for_status()
    return resp.json()

# Option 2: MCP endpoint (for MCP-compatible tools)
def search_mcp(query: str) -> dict:
    resp = requests.post(
        "https://mcp.scavio.dev/mcp",
        headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
        json={
            "jsonrpc": "2.0", "id": 1,
            "method": "tools/call",
            "params": {"name": "search", "arguments": {"query": query, "country_code": "us"}},
        },
        timeout=15,
    )
    return resp.json().get("result", {})

# n8n HTTP Request node configuration (for reference):
# Method: POST
# URL: https://api.scavio.dev/api/v1/search
# Headers: x-api-key = {{$env.SCAVIO_API_KEY}}
# Body (JSON): {"query": "{{$json.search_term}}", "platform": "google"}

queries = ["best project management tools 2026", "remote work software trends"]
for q in queries:
    data = search_direct(q)
    results = data.get("organic", [])[:5]
    print(f"Query: {q}")
    for r in results:
        print(f"  {r.get('title', '')} - {r.get('url', '')}")

const API_KEY = process.env.SCAVIO_API_KEY;

// Option 1: Direct search API
async function searchDirect(query, platform='google') {
  const r = 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, platform}),
  });
  return r.json();
}

// Option 2: MCP endpoint
async function searchMcp(query) {
  const r = await fetch('https://mcp.scavio.dev/mcp', {
    method:'POST',
    headers:{'Authorization':'Bearer '+API_KEY, 'Content-Type':'application/json'},
    body:JSON.stringify({jsonrpc:'2.0', id:1, method:'tools/call', params:{name:'search', arguments:{query, country_code:'us'}}}),
  });
  return (await r.json()).result || {};
}

// n8n Function node example: transform Scavio results for Google Sheets
function transformForSheets(results) {
  return results.map((r,i) => ({position:i+1, title:r.title||'', url:r.url||'', snippet:r.snippet||''}));
}

const queries = ['best project management tools 2026', 'remote work software trends'];
for (const q of queries) {
  const data = await searchDirect(q);
  const rows = transformForSheets((data.organic || []).slice(0,5));
  console.log('Query: '+q);
  rows.forEach(r => console.log('  '+r.position+'. '+r.title+' - '+r.url));
}