b2bapollolocal-data
B2B Local Business Data Without Apollo
80% of local businesses are not in Apollo. Google Maps search data returns live business info with phone, website, ratings. Covers what Apollo misses for local B2B.
8 min
B2B local business data without Apollo means using Google Maps search data for business discovery and SERP data for enrichment. Apollo's database skews corporate -- local plumbers, restaurants, and salons are poorly represented. Search API returns live Google Maps data with business name, phone, website, ratings, and address at a fraction of Apollo's cost.
Where Apollo falls short for local B2B
- 80% of local businesses are not in Apollo's database
- Contact data decays 30-40% within 6 months for SMBs
- No Google Maps integration for location-based search
- Minimum $49/month for data that barely covers local markets
- Email-centric: local businesses prefer phone contact
Alternative: Search API for local business data
Python
import requests
def local_business_search(category: str, location: str) -> list:
"""Find local businesses using Google Maps via SERP API."""
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "YOUR_KEY"},
json={
"query": f"{category} in {location}",
"num_results": 20
}
)
data = resp.json()
businesses = []
for r in data.get("local_results", []):
businesses.append({
"name": r.get("title", ""),
"phone": r.get("phone", ""),
"website": r.get("website", ""),
"address": r.get("address", ""),
"rating": r.get("rating", ""),
"reviews": r.get("reviews_count", 0)
})
return businesses
# Build a list of auto repair shops
shops = local_business_search("auto repair", "Phoenix AZ")
for s in shops:
print(f"{s['name']} | {s['phone']} | Rating: {s['rating']}")
Enrich with web presence data
Python
def enrich_business(business: dict) -> dict:
"""Add web presence data to a local business record."""
if not business.get("website"):
business["web_quality"] = "no_website"
return business
# Check their Google search presence
domain = business["website"].replace("https://", "").replace("http://", "").split("/")[0]
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "YOUR_KEY"},
json={
"query": f"site:{domain}",
"num_results": 5
}
)
data = resp.json()
indexed_pages = len(data.get("organic_results", []))
business["indexed_pages"] = indexed_pages
business["web_quality"] = (
"strong" if indexed_pages >= 10
else "basic" if indexed_pages >= 3
else "minimal"
)
return business
# Enrich top prospects
enriched = [enrich_business(s) for s in shops[:10]]
for e in enriched:
print(f"{e['name']}: {e['web_quality']} ({e.get('indexed_pages', 0)} pages)")
Complete pipeline in JavaScript
JavaScript
async function localB2bPipeline(categories, locations) {
const prospects = [];
for (const cat of categories) {
for (const loc of locations) {
const resp = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: {
"x-api-key": process.env.SCAVIO_KEY,
"Content-Type": "application/json"
},
body: JSON.stringify({
query: cat + " " + loc,
num_results: 20
})
});
const data = await resp.json();
for (const r of (data.local_results || [])) {
prospects.push({
category: cat,
location: loc,
name: r.title,
phone: r.phone,
website: r.website,
rating: r.rating,
reviews: r.reviews_count
});
}
}
}
// Score prospects
return prospects.map(p => ({
...p,
score: (p.website ? 2 : 0) + (p.reviews < 10 ? 1 : 0) +
(parseFloat(p.rating) < 4.0 ? 1 : 0)
})).sort((a, b) => b.score - a.score);
}
Cost comparison
Text
Data source | Local coverage | Cost/mo | Freshness
Apollo | ~20% | $49+ | Monthly update
Google Maps API | ~95% | $0.005/q | Live
Outscraper | ~90% | $25+ | Weekly update
Scavio SERP | ~95% | $30=7K | Live