Jobs to Be Done
- Personalize cold emails with company-specific context from news and social
- Find qualified commenters on LinkedIn posts and reply-replies on Twitter
- Research 50+ accounts per day without burning the morning on Google tabs
- Spot trigger events like funding, hires, and product launches worth mentioning
- Track competitor talking points in Reddit and YouTube for objection handling
Common Workflows
Overnight account briefs
A nightly agent reads tomorrow's outbound list and produces a three-bullet brief per account: recent news, LinkedIn activity, and a suggested opener. SDRs skip the research phase entirely.
Example: scavio.google('acme corp news', time='14d') + scavio.reddit('acme corp')
LinkedIn commenter mining
Find LinkedIn posts in the target topic via site:linkedin.com/posts, extract commenters, pipe them through Hunter for emails, and push into Smartlead for sequencing.
Example: scavio.search('site:linkedin.com/posts "cold email"') -> commenters -> hunter -> smartlead
Trigger event monitoring
Daily run over the territory list watching for funding, hiring, and product-launch signals from Google News. Surface accounts worth reprioritizing.
Example: scavio.google('{company} series b')
Pain Points Scavio Solves
- Manual account research eats 40% of prospecting time
- LinkedIn scrapers get accounts banned or break weekly
- Generic openers tank reply rate
- Research quality varies wildly between reps
Tools SDRs Pair With Scavio
Apollo, Smartlead, Instantly, HubSpot, Salesforce, Clay. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "scavio.google('acme corp layoffs', time='7d')"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata