Google Maps scraper for wholesalers and distributors

B2B suppliers building retailer and venue prospect lists by region.

Last reviewed

Where the model fits wholesalers and distributors

  • Category plus geography is exactly how distribution rounds are planned.
  • Address-level export supports route planning directly.
  • Monthly refresh catches new openings before competitors call them.

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 wholesalers and distributors.

A working playbook

  1. Extract every retail and venue category you supply, per delivery region, and de-duplicate across categories since venues appear in several.
  2. Sort new-openings first: a business in its first months is choosing suppliers; an established one is switching costs.
  3. Plan routes from coordinates so a rep day covers a coherent cluster rather than a postcode lottery.
  4. Flag closures from re-sweeps to keep delivery rounds and credit exposure current.

Volume, honestly

Wholesale prospecting is geographically bounded by your delivery area, which keeps volumes modest; the win is freshness, not scale.

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 wholesalers and distributors 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 wholesalers and distributors 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 wholesalers and distributors plan around?
Wholesale prospecting is geographically bounded by your delivery area, which keeps volumes modest; the win is freshness, not scale.
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.