Google Maps is where millions of businesses expose their trading name, location, phone number and website in one place. We build extraction pipelines that collect those fields at scale from the searches and regions you define — normalised, deduplicated and delivered to Excel, a database or an API so your team can act on the data immediately.

This sits under our broader web scraping services: same engineering discipline (scheduling, error handling, change detection), scoped to Maps-shaped sources and your lawful use case.

Why teams extract Google Maps data

Data products and internal tools

Feed directories, comparison apps or territory planners with fresh listings — who operates where, under which category, with which contact details. Scheduled refreshes keep your product from going stale when businesses open, move or rebrand.

Sales and outbound outreach

Export phone numbers and addresses for businesses that match your ideal profile — by suburb, city or niche — so BDRs can call or visit without building lists by hand. Pair with your CRM or dialler when you are ready to scale.

Market and competitor mapping

See how many players sit in a category per area, how ratings cluster, or how coverage compares across regions — useful for expansion, franchising or benchmarking your own footprint.

Enrichment and follow-on scraping

Maps often includes a website URL per listing. That becomes the hook for a second step: crawl contact pages, structured data or forms where email addresses and richer profiles live — when your brief and the site terms allow it.

What we typically extract

Fields depend on what the listing exposes and what you are allowed to use. Common columns include:

  • Business name and categories (primary type, tags)
  • Formatted address — street, suburb, city, postal code, country
  • Phone numbers — click-to-call as shown on the listing
  • Website URL — for your team or for downstream crawling
  • Hours and open/closed where available
  • Rating, review count and sometimes review text snippets (scoped to your compliance needs)
  • Source URL or place identifier so every row traces back to the listing we captured

Email: Maps itself rarely shows email in the card. When you need emails, we usually combine Maps extract with enrichment from the business website or opted-in sources — we scope that explicitly so you are not expecting in-row email from Maps alone.

Delivery formats

Outputs go to Excel or CSV for sales campaigns, Google Sheets for shared territory review, JSON or database for apps, or a private API your product calls. Jobs run once for a snapshot or on a weekly/monthly refresh schedule — built in Python or wired through no-code automation depending on volume.

Compliance and responsible use

Maps data includes personal and business contact information. In South Africa, POPIA applies: lawful basis, purpose limitation, security and a retention policy you can defend. We scope what to collect and how to store it before extraction starts — spam lists and unlicensed resale are not use cases we build for. Google's own Places API is worth comparing on cost and terms for lower-volume or commercial product use; we will tell you if that fits better.

What we need to quote

  • Geography — cities, suburbs or polygon (e.g. Western Cape, specific Johannesburg corridors)
  • Categories or search keywords (e.g. dentists, industrial suppliers, cafés)
  • Approximate volume (hundreds vs tens of thousands of rows) and refresh cadence
  • Fields you need in the first deliverable — and whether website follow-up or email enrichment is in scope
  • End use (internal sales, product, research) so we can align on compliance

Scope a Maps data pipeline

Tell us the region, the business types and what you want to do with the data. We reply with a feasible extract design and delivery plan.

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