Scavio for AI Job Search Agent (End User)

The Problem

Job boards miss roles posted on Greenhouse, Lever, Ashby subdomains and unannounced openings on Reddit. A daily agent that runs SERP across ATS domains plus Reddit hiring threads finds those roles 3-7 days earlier and scores fit against the user's resume.

How Scavio Helps

• ATS subdomain coverage that boards miss
• Reddit hiring thread surfacing
• Full JD via extract endpoint
• LLM resume scoring
• Sub-$5/mo API cost

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "senior backend engineer python rust remote 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 Active job seekers, recruiters running personalized matches, career coaches building agent-augmented services

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai job search agent (end user) solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.