The Problem
Digital marketing agencies spend hours manually researching potential clients: checking if they have a website, evaluating its quality, looking at their Google Business profile, and assessing whether they need services. This manual prospecting limits how many leads an agency can evaluate per day and introduces inconsistency in qualification criteria.
The Scavio Solution
Automate the research phase with a search-and-qualify pipeline. Use Scavio's Google endpoint to find businesses matching your target criteria (e.g., 'plumber [city] no website' or 'restaurant [city] poor reviews'). For each result, run a follow-up search to evaluate their online presence: do they have a website, is it mobile-friendly, do they have reviews, are they running ads. Score each lead based on the gap between their current presence and what your agency offers. Deliver the top-scored leads to your outreach tool with the research already done.
Before
Before automated qualification, an agency owner spent 6 hours every Saturday on Google Maps manually evaluating businesses. They reviewed about 40 businesses per session and contacted 8-10 that seemed like good fits. The conversion rate was 15% because the manual process could not evaluate enough leads to be selective.
After
After implementing automated qualification, the pipeline evaluates 500 businesses per day across 10 cities. It delivers the top 20 leads with qualification scores and research summaries. The agency owner spends 30 minutes reviewing pre-qualified leads instead of 6 hours hunting. Conversion rate improved to 28% because every contact was pre-vetted.
Who It Is For
Digital marketing agencies and freelancers who need to qualify local business leads at scale without spending hours on manual Google research.
Key Benefits
- Evaluate hundreds of leads per day instead of dozens
- Consistent qualification criteria across all leads
- Pre-built research summaries for each qualified lead
- Credit-based pricing scales with actual lead volume
- Works with any outreach tool (Instantly, Smartlead, email)
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def find_leads(niche: str, city: str) -> list:
resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{niche} {city}'}, timeout=10)
leads = []
for r in resp.json().get('organic', [])[:10]:
leads.append({
'name': r['title'],
'url': r.get('link', ''),
'snippet': r.get('snippet', ''),
'has_website': not r.get('link', '').startswith('https://www.yelp'),
})
return leads
def qualify_lead(lead: dict) -> dict:
resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'"{lead["name"]}" reviews'}, timeout=10)
review_results = len(resp.json().get('organic', []))
lead['review_presence'] = review_results
lead['score'] = 10 - min(review_results, 10) # fewer results = more opportunity
return leadJavaScript Example
async function findLeads(niche, city) {
const resp = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ platform: 'google', query: `${niche} ${city}` })
});
const data = await resp.json();
return (data.organic || []).slice(0, 10).map(r => ({
name: r.title, url: r.link, snippet: r.snippet,
hasWebsite: !r.link?.includes('yelp.com')
}));
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews