Leads pipeline from Google Maps & Yelp with clean exports
Automated scrapers that collect business leads from Google Maps and Yelp filters, then output clean CSV datasets for outreach.
Problem
Lead lists were assembled manually and inconsistently. The business needed repeatable extraction with structured fields and clean exports.
Stack
- - Python
- - Scraping
- - Data cleaning
- - CSV exports
Architecture
Data flow
A simplified view of how the system is wired. (Details and metrics are intentionally omitted until confirmed.)
- →
Step 01
Query + geo filters
Search inputs
- →
Step 02
Extract listings
Fields + pagination
- →
Step 03
Clean + dedupe
Normalize & remove duplicates
- →
Step 04
Export
CSV datasets ready for outreach
- - TODO: Add real lead volume per run + dedupe rate once measured.
Outcome
What changed
- Consistent structured lead exports
- Cleaner datasets via normalization and dedupe steps
- Repeatable runs based on search + location filters
Metrics
Metrics are shown only when verified. Placeholders live in `lib/data.ts`.
Media
Demo / screenshots
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