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Data Infrastructure

Google Maps Business Scraper

A high-throughput Google Maps business data collection pipeline built in Go and containerised for Linux servers.

GoHigh-throughput data pipelinesDockerReproducible scraping infrastructureLinuxServer operations · DeploymentGitVersion controlCursorAI-assisted engineering
The problem

Local market research and competitive analysis need structured business data at a volume manual collection can't reach.

What it does

A high-throughput Google Maps business data collection pipeline.

Designed to collect up to approximately 100,000 business records per day per Linux server or capable PC depending on workload and environment.

Does not require traditional rotating proxy or CAPTCHA-solving infrastructure for the core scraping workflow.

Capabilities
  • Local SEO research
  • Competitive analysis
  • Market research
  • Prospecting
  • Location intelligence
  • Business datasets
Architecture
  1. 01Job queue + concurrency controller (Go)
  2. 02Containerised workers (Docker)
  3. 03Result normalisation & de-duplication
  4. 04Structured export for analysis
Screenshots
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Available for work

Let's build something that matters.

I'm currently open to full-time and contract remote opportunities across Technical SEO, AI Search, marketing automation and growth engineering.

AvailableOpen to Full-Time & Contract OpportunitiesToronto, Canada · Remote