Scavio for B2B Target Company Search Layer

The Problem

Sales teams manually search for target companies on Google and LinkedIn, spending 2-3 hours per day on discovery. The hit rate is low because positive keyword matching alone misses context about company fit.

How Scavio Helps

• Automated daily company discovery from SERP
• Reddit sentiment adds context beyond company websites
• Negative filtering improves hit rate from 30% to 60%+
• Structured JSON feeds directly into CRM
• Scales from 10 to 1000 daily discoveries without proportional time

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "GTM engineer queries Google for 'series A fintech company hiring data engineer' daily. API returns structured results with company names, URLs, and snippets. Reddit search for each company surfaces complaints, praise, and hiring signals. Negative filter removes consulting firms and agencies. 15 qualified leads per day, 3 minutes of review.":

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 SDRs, GTM engineers, B2B sales ops building automated prospecting pipelines

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your b2b target company search layer 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.