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AtlasRepo

How to Scrape and Verify Local Business Leads with Python (Without Paying $100/mo for SaaS)

Description and use

Step‑by‑step recipe for building a free lead pipeline: pull data from OpenStreetMap, crawl websites for emails, and verify the list.

Problem

Lead platforms charge $50–$100+ per month for basic public contact info, making B2B marketing costly.

Outcome

A cost‑effective pipeline that generates verified local business leads without SaaS fees.

Workflow

  • Pull businesses by category and city using Overpass API
  • Filter results to those with website tags
  • Crawl each website’s homepage and common contact pages
  • Extract mailto links and visible email text with regex
  • Deduplicate and clean email list
  • Filter out image URLs and non-email strings
  • Prepare verified leads for outreach

Evidence

lead platforms charge $50 to $100+ per month just to export basic public contact info.

Source

OpenStreetMap (OSM) ... pull businesses by category and city.

Source

Overpass is OSM's public query language. It's free, and you can query any city or bounding box without paying Google Places API fees.

Source

  • Record date: 2026-10-12T14:40:56.200Z