Google Maps scraper for manufacturers

Manufacturers finding dealers, installers and service partners by city.

Last reviewed

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.

What the export gives you to work with

Every row carries business name, phone, website, full address, coordinates, star rating, review count, category, opening hours where published, and social links where listed. The two fields that do the most work for manufacturers are the review count, which is the best free qualification signal local data has, and the website URL, which splits every list into rows that can take email outreach and rows that need the phone. Email itself is discovered from the linked website, not the listing, with realistic coverage of 20-40% of rows; the email extraction guide explains why.

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Frequently asked

Why do manufacturers use a desktop scraper instead of a cloud API?
Mostly pricing shape and control. A desktop licence is a flat $20 per year with unlimited rows, so cost does not scale with thoroughness, and extraction runs from your own connection rather than a shared proxy pool. The tradeoff is real: a desktop app cannot run unattended on a server or be triggered by another system, so workflows needing scheduled or programmatic extraction still belong on a cloud API.
What volume should manufacturers plan around?
Channel mapping is a periodic exercise across many regions, which suits unlimited re-runs on a flat licence better than per-row billing.
Does it get past the 120-result limit?
Yes, by grid extraction: the target area is divided into smaller cells, each cell is searched separately, and results are merged and de-duplicated on place ID. The 120-result ceiling applies to a single query, so coverage scales with the number of cells rather than being capped.