The Problem
Sales teams using Apollo and similar contact databases hit the same prospects as every competitor because the lists are pre-compiled and widely shared, leading to inbox fatigue and low response rates.
How Scavio Helps
- Intent-based targeting from live search signals vs stale lists
- Reddit discussions reveal active purchase consideration
- No shared database means less prospect fatigue
- Build custom prospect lists for niche markets
- Combine Google and Reddit signals for higher-quality targeting
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 "looking for CRM recommendation small business reddit 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 Sales development teams and outbound marketing managers frustrated with database-sourced leads
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your apollo alternative outreach solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.