Sales Enrichment: Search API vs Apollo
Apollo owns contact data at $49+/user/mo. Search APIs provide fresher company context for $0.015/lead. When to use each or both.
Apollo.io charges $49+/user/month for contact enrichment from its 275M-contact database. A search API approach enriches leads from live web data for $0.01-0.02 per lead -- no per-seat pricing, no stale database, no minimum commitments. The trade-off: Apollo gives you direct emails and phone numbers; search APIs give you company context, tech stack signals, and recent news that Apollo does not.
What Apollo gives you
- Direct email addresses (verified, with bounce risk scores)
- Phone numbers for decision makers
- Job titles and department
- Company size and revenue estimates
- Technology stack detection
What search API enrichment gives you
- Current company description from their own website
- Recent funding, hiring, product launches (fresher than any database)
- LinkedIn profiles and social media presence
- Competitor context (who else they might be evaluating)
- Reddit and forum mentions (real user sentiment)
Search-based enrichment pipeline
import os, requests, json
SCAVIO_KEY = os.environ["SCAVIO_API_KEY"]
HEADERS = {"x-api-key": SCAVIO_KEY}
BASE = "https://api.scavio.dev/api/v1/search"
def enrich_lead(company: str, domain: str = "") -> dict:
"""Enrich a lead with live web data. Cost: 3 credits = $0.015."""
enriched = {"company": company}
# Query 1: Company overview
overview = requests.post(BASE, headers=HEADERS, json={
"query": f"{company} company", "num_results": 5
}).json()
enriched["description"] = overview.get("organic_results", [{}])[0].get("snippet", "")
# Query 2: Recent news and funding
news = requests.post(BASE, headers=HEADERS, json={
"query": f"{company} funding OR launch OR hiring 2026",
"num_results": 5
}).json()
enriched["recent_signals"] = [
r["snippet"] for r in news.get("organic_results", [])[:3]
]
# Query 3: Tech stack and tools
tech = requests.post(BASE, headers=HEADERS, json={
"query": f"{company} technology stack tools OR platform",
"num_results": 5
}).json()
enriched["tech_signals"] = [
r["snippet"] for r in tech.get("organic_results", [])[:3]
]
return enriched
# Enrich a prospect
lead = enrich_lead("Acme Corp", "acme.com")
print(json.dumps(lead, indent=2))Combining Apollo + search for maximum context
def full_enrichment(lead: dict) -> dict:
"""Apollo for contact data + search API for context."""
# Apollo: get email, phone, title (costs Apollo credits)
apollo_data = apollo_enrich(lead["email"]) # your Apollo SDK call
# Search API: get context Apollo doesn't have
search_data = enrich_lead(lead["company"])
return {
# From Apollo
"email": apollo_data.get("email"),
"phone": apollo_data.get("phone"),
"title": apollo_data.get("title"),
"company_size": apollo_data.get("company_size"),
# From search API (fresher, more context)
"company_description": search_data["description"],
"recent_signals": search_data["recent_signals"],
"tech_stack": search_data["tech_signals"],
# Personalization hook for outreach
"personalization": search_data["recent_signals"][0]
if search_data["recent_signals"] else "",
}Cost comparison at scale
For a team enriching 1,000 leads/month:
- Apollo Professional: $99/user/mo (3 seats = $297/mo)
- Search API enrichment only: 3K credits = $15/mo with Scavio
- Apollo + search hybrid: $297 + $15 = $312/mo but far richer context
- Search-only approach misses direct emails but saves $282/mo
When to skip Apollo entirely
If your outreach is LinkedIn-based (no email needed), if you find emails via company contact pages in search results, or if your pipeline is inbound (leads already gave you their email). In these cases, Apollo is paying for a database you do not query. Search API enrichment gives you the context you actually need for personalization.
Building the personalization layer
def generate_personalization(enriched: dict) -> str:
"""Create an outreach hook from enrichment data."""
signals = enriched.get("recent_signals", [])
for signal in signals:
if "raised" in signal.lower() or "funding" in signal.lower():
return f"Congrats on the recent funding. As you scale..."
if "hiring" in signal.lower():
return f"Noticed your team is growing. When scaling..."
if "launch" in signal.lower():
return f"Saw the recent product launch. For teams shipping fast..."
# Fallback: use company description
desc = enriched.get("company_description", "")
if desc:
return f"Your work on {desc[:50]} caught my attention..."
return ""
hook = generate_personalization(lead)
print(f"Outreach hook: {hook}")Key takeaway
Apollo owns the contact data market. Search APIs own the context market. For cold outreach, you need both: Apollo for the email address, search for the personalization hook. For warm or inbound pipelines, search enrichment alone provides the context that converts conversations into deals.