Google Maps scraper for wholesalers and distributors

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.

Prospecting inside a delivery footprint

Wholesale is the rare case where a bigger list is actively worse. An account outside your route costs more to serve than it returns, so the useful sweep is bounded by drop density rather than by category size, and the right instinct is to sweep narrow and deep rather than wide.

New openings are the highest-value rows in any wholesale export, because a venue that has just opened has not yet signed a supplier and a venue trading for five years has, and displacing an incumbent is a far longer sale. Openings are only visible as a difference between two sweeps, which makes the refresh cadence the thing that actually drives new accounts.

Route economics improve fastest through density, not reach. Three more accounts on an existing run are worth more than ten scattered across a new region, because the van is already going. Sorting prospects by proximity to current drops rather than by size is what turns a prospect list into a margin improvement.

The mistake to avoid

Sweeping the whole metro because the licence allows it. Every row outside the delivery footprint is a prospect a rep will eventually call and a route planner will eventually reject. Bound the sweep to the area you can actually serve.

What the export gives you to work with

Address is the operative column, not the phone, because a wholesale prospect only counts if it sits inside a route you already serve. Coordinates let you test that directly against existing drop points rather than guessing from a postcode. Opening hours matter here in a way they do not for most uses: a delivery window that clashes with a venue's trading hours makes an otherwise good account unservable.