100 Local Leads Daily: A Realistic Approach
100 local leads/day is achievable in dense metros with 5-10 Google Maps API queries. Cost: $1-2/month with deduplication.
Yes, 100 local business leads per day is achievable with a search API, but the quality depends on your niche density and location targeting. Here is a realistic framework with actual numbers on coverage, cost, and deduplication.
The math on 100 leads/day
A Google Maps search query returns up to 20 results. To get 100 unique leads per day, you need 5-10 queries (accounting for duplicates across overlapping searches). At $0.005/query, that is $0.025-0.05/day or roughly $1-1.50/month.
import requests, os
def daily_lead_gen(niches, locations, target=100):
all_leads = {} # Use dict for dedup by phone/name
for niche in niches:
for location in locations:
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": os.environ["SCAVIO_API_KEY"]},
json={
"query": f"{niche} in {location}",
"search_engine": "google_maps",
"num_results": 20,
},
)
results = resp.json().get("local_results", [])
for r in results:
key = r.get("phone", r.get("title", ""))
if key and key not in all_leads:
all_leads[key] = r
if len(all_leads) >= target:
break
if len(all_leads) >= target:
break
return list(all_leads.values())[:target]
# Example: 5 niches across 4 neighborhoods = 20 queries max
leads = daily_lead_gen(
niches=["dentist", "plumber", "electrician", "accountant", "chiropractor"],
locations=["North Austin TX", "South Austin TX", "East Austin TX", "West Austin TX"],
)
print(f"Unique leads found: {len(leads)}")When 100/day is realistic
- Dense metro areas (population 500K+): easy to hit 100 unique leads/day per niche
- Common service niches (plumber, dentist, restaurant): high Google Maps density
- Multiple sub-locations (neighborhoods, zip codes): reduces overlap
When 100/day is not realistic
- Rural areas: niche density too low, you exhaust the market in days
- Hyper-specific niches ("industrial water treatment"): limited businesses per city
- Small towns (under 50K population): 20-50 leads per niche total, not per day
The deduplication challenge
Running daily lead gen without dedup means re-pulling the same businesses. You need persistent storage to track which leads you have already collected.
import sqlite3
def init_db():
conn = sqlite3.connect("leads.db")
conn.execute("""
CREATE TABLE IF NOT EXISTS leads (
id INTEGER PRIMARY KEY,
name TEXT,
phone TEXT UNIQUE,
website TEXT,
niche TEXT,
location TEXT,
collected_date TEXT,
contacted BOOLEAN DEFAULT 0
)
""")
return conn
def store_new_leads(conn, leads, niche, location):
new_count = 0
for lead in leads:
phone = lead.get("phone", "")
if not phone:
continue
try:
conn.execute(
"INSERT INTO leads (name, phone, website, niche, location, collected_date) VALUES (?, ?, ?, ?, ?, date('now'))",
(lead.get("title"), phone, lead.get("website", ""), niche, location),
)
new_count += 1
except sqlite3.IntegrityError:
pass # Already exists
conn.commit()
return new_countSustainable daily lead gen strategy
- Start with 5-10 high-density niches in your target metro
- Rotate through neighborhoods/zip codes daily
- Track collected leads in SQLite to avoid duplicates
- Monitor new-lead rate -- when it drops below 50/day, expand to adjacent metros
- Qualify leads before outreach: filter by rating, website presence, review count
Cost at 100 leads/day for 30 days
daily_queries = 10 # 5-10 queries for 100 leads
monthly_queries = daily_queries * 30
monthly_cost = monthly_queries * 0.005
print(f"Monthly queries: {monthly_queries}")
print(f"Monthly cost: ${monthly_cost:.2f}")
print(f"Total leads: ~3,000/month")
print(f"Cost per lead: ${monthly_cost / 3000:.4f}")
# Monthly cost: $1.50
# Cost per lead: $0.0005Bottom line
100 local leads per day is realistic in dense metro areas with common service niches. The API cost is negligible ($1-2/month). The real work is deduplication, qualification, and building the outreach pipeline on top of the raw data. Do not skip deduplication -- without it, you waste time contacting the same businesses repeatedly.