n8n Search Nodes vs HTTP Request in 2026

Approach           | Cost        | Flexibility | Maintenance
SerpAPI node       | $25/mo=1K   | Low         | Node updates lag API
Google Search node | $5/1K       | Low         | Limited params
HTTP Request node  | API cost    | High        | You control everything
MCP integration    | API cost    | Medium      | Still experimental in n8n

{
  "nodes": [
    {
      "name": "Search API",
      "type": "n8n-nodes-base.httpRequest",
      "parameters": {
        "method": "POST",
        "url": "https://api.scavio.dev/api/v1/search",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            { "name": "x-api-key", "value": "={{ $env.SCAVIO_KEY }}" },
            { "name": "Content-Type", "value": "application/json" }
          ]
        },
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            { "name": "query", "value": "={{ $json.keyword }}" },
            { "name": "num_results", "value": "10" },
            { "name": "include_ai_overview", "value": "true" }
          ]
        }
      }
    }
  ]
}

# Python equivalent of the n8n workflow for testing
import requests

def n8n_search_workflow(keywords: list) -> list:
    """Simulate n8n keyword research workflow."""
    results = []

    for kw in keywords:
        # Step 1: Google search (HTTP Request node equivalent)
        resp = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "YOUR_KEY"},
            json={
                "query": kw,
                "num_results": 10,
                "include_ai_overview": True
            }
        )
        data = resp.json()

        # Step 2: Extract insights (Code node equivalent)
        organic_count = len(data.get("organic_results", []))
        has_ai_overview = bool(data.get("ai_overview"))
        paa_questions = [
            q["question"] for q in data.get("people_also_ask", [])
        ]

        results.append({
            "keyword": kw,
            "organic_results": organic_count,
            "has_ai_overview": has_ai_overview,
            "related_questions": paa_questions[:3],
            "top_result": data.get("organic_results", [{}])[0].get("title", "")
        })

    return results

report = n8n_search_workflow(["best crm 2026", "project management tools"])
for r in report:
    print(f"{r['keyword']}: {r['organic_results']} results, AI Overview: {r['has_ai_overview']}")

// n8n Code node: search multiple platforms from one workflow
const platforms = ["google", "youtube", "amazon"];
const query = $input.first().json.query;

const results = {};
for (const platform of platforms) {
  const resp = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: {
      "x-api-key": $env.SCAVIO_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({ query, platform, num_results: 5 })
  });
  results[platform] = await resp.json();
}

return [{ json: results }];

Approach        | 1K queries/mo | 10K queries/mo
SerpAPI node    | $25           | $150
Scavio HTTP     | $5            | $50
Google CSE      | Free (100/day)| $5
Brave Search    | $5            | $50