Google Maps scraper for manufacturers

Where the model fits manufacturers

• Partner discovery by category across every target metro at once.
• Phone and website contact paths for channel outreach.
• Density data shows where the channel is thin before committing regional spend.

The general tradeoffs between desktop, cloud and extension extraction are covered in the comparison; this page is about how the desktop model is actually worked by manufacturers.

A working playbook

1. Sweep installer and dealer categories across target regions in one campaign per country.
2. Score prospects by review count within region; established operators make more effective channel partners than the cheapest sign-up.
3. Map current partner coverage against extracted density to see true white space rather than guessed white space.
4. Route introductions by phone in trade categories; channel recruitment emails to unknown addresses mostly go unread.

Volume, honestly

Channel mapping is a periodic exercise across many regions, which suits unlimited re-runs on a flat licence better than per-row billing.

Finding the holes in a distribution network

Channel gaps are invisible from inside a manufacturer, because the reporting shows the dealers you have and says nothing about the regions where you have none. Plotting every business of the relevant trade across a country and overlaying your own dealer list turns that blind spot into a map, and the empty areas are the whole point of the exercise.

Competitor brand names in the export are the cheapest competitive intelligence available in channel work. Installers routinely put the brand they carry in their business name or trading name, so counting those names by region shows where a rival has locked up distribution and where the field is open, at no cost beyond the sweep.

The same file supports the support side, not just recruitment. Knowing every qualified installer in a region matters when an end customer needs service and your nearest authorised partner is three hours away, which is a warranty problem before it is a sales one.

The mistake to avoid

Recruiting dealers in the regions with the most listings. High density usually means the territory is already served and a new partner will simply cannibalise an existing one. The valuable rows are in the thin regions, which is the opposite of what a sorted list surfaces first.

What the export gives you to work with

A manufacturer is looking for coverage gaps, so the columns that matter are the ones that plot: coordinates and category, read as a map of where installers and dealers already are and, more usefully, where they are not. Business name carries the second signal, because a competitor's brand appearing in a dealer's name tells you that territory is already committed to somebody else without a single call.