The Problem
SDRs waste hours manually copying commenter names from LinkedIn posts into Sales Navigator. Direct scrapers get LinkedIn accounts banned. Managed LinkedIn scrapers break every few weeks.
How Scavio Helps
- Google-as-crawler avoids LinkedIn account risk
- 500+ qualified leads per hour of pipeline run time
- Plugs into Hunter, Apollo, Clay for email enrichment
- Works identically for Twitter replies and YouTube comments
- Cheaper than dedicated LinkedIn scraping tools
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "site:linkedin.com/posts "agentic seo"":
Python
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 SDR teams, GTM engineers, cold email operators, B2B agencies
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your linkedin comment enrichment for sdrs 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.