The Problem
People search tools rely on database records and job titles, missing expertise signals visible in search results and community discussions where professionals demonstrate their knowledge.
How Scavio Helps
- Expertise signals from search results and community posts
- Reddit contributions reveal domain knowledge depth
- Google results surface professional profiles and publications
- Combine structured data from both platforms in agent workflows
- Find niche experts that database-only tools miss
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "machine learning engineer kubernetes expertise search 2026":
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 Recruiting teams, expert network platforms, and talent intelligence developers
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your people search 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.