The Problem
n8n users building search automation workflows use the generic HTTP Request node to call search APIs. This requires manually configuring URLs, headers, authentication, and response parsing for each search provider. When the search API changes or the team wants to switch providers, every HTTP Request node in every workflow needs updating.
The Scavio Solution
Standardize all n8n search workflows on Scavio's REST API with a reusable HTTP Request node configuration. Set up once: URL (api.scavio.dev/api/v1/search), header (x-api-key), and request body template. Save as a reusable n8n credential. All search workflows share the same configuration, making provider changes a single update.
Before
Before standardizing, the team had 8 n8n workflows with search nodes, each configured differently. 3 used SerpAPI, 2 used DataForSEO, 3 used custom scrapers. Updating pricing comparison data required editing 5 separate workflows.
After
After standardizing on Scavio, all 8 workflows use the same credential and request format. Adding AI Overview extraction required changing one parameter (ai_overview: true) in the shared template. Monthly cost dropped from $85 (mixed providers) to $30 (Scavio 7K plan).
Who It Is For
n8n users building search automation workflows. No-code/low-code teams standardizing on a single search API. Agencies managing multiple n8n workflows that use search data.
Key Benefits
- One credential and request format across all n8n search workflows
- Switching providers requires updating one configuration, not every workflow
- AI Overview and Knowledge Graph data available in every search node
- Multi-platform search from one HTTP Request node configuration
- Free 250 credits/month for testing and low-volume workflows
Python Example
# n8n HTTP Request node equivalent in Python
import requests
API_KEY = "your_scavio_api_key"
def n8n_search_node(query: str, platform: str = "google", ai_overview: bool = True) -> dict:
"""Replicates n8n HTTP Request node for Scavio.
n8n config: Method=POST, URL=https://api.scavio.dev/api/v1/search
Header: x-api-key={{$credentials.scavioKey}}
Body: {platform, query, ai_overview}
"""
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": platform, "query": query, "ai_overview": ai_overview},
timeout=15,
)
res.raise_for_status()
return res.json()
# Same function works for all platforms
google = n8n_search_node("best crm 2026", "google")
amazon = n8n_search_node("wireless mouse", "amazon")
reddit = n8n_search_node("best search api", "reddit")
print(f"Google: {len(google.get('organic', []))} results")
print(f"Amazon: {len(amazon.get('organic', []))} results")
print(f"Reddit: {len(reddit.get('organic', []))} results")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function n8nSearchNode(query, platform = "google", aiOverview = true) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform, query, ai_overview: aiOverview }),
});
return res.json();
}
const google = await n8nSearchNode("best crm 2026");
const amazon = await n8nSearchNode("wireless mouse", "amazon");
console.log(`Google: ${(google.organic ?? []).length}, Amazon: ${(amazon.organic ?? []).length}`);Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit