The Problem
Launched AI job search agents in 2026 hit a common wall: the LLM is fine but the job data is stale, incomplete, or missing the company context that matters for a great match. A multi-platform search API feeds the agent live listings, company news, Glassdoor-style signals from Reddit, and CEO interviews from YouTube.
How Scavio Helps
- Live SERP coverage of LinkedIn, Indeed, Wellfound, AngelList, and company career pages
- Reddit company-culture threads for fit signal
- YouTube CEO and employee interviews for values context
- Freshness policy — re-query every 24h for active job hunts
- Predictable cost per user search session
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching Google for "senior frontend engineer remote europe 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 Career agent founders, indie AI builders, recruiting automation teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai career agent data api 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.