Wholesalers, find your next retailers Turn Google Maps into a stockist pipeline

You know your product sells. You just need more doors

If you distribute food, cosmetics, homeware, pet supplies, or any physical goods, growth is a numbers game measured in one unit: doors. Every independent shop, boutique, garden center, or specialty store that puts your product on a shelf is another recurring account. The bottleneck is rarely the pitch. It is finding the doors in the first place.

Buying a generic B2B list is a poor fit here. Those lists skew toward head offices and large chains, they go stale fast, and they miss the independents that are the easiest yes for a small wholesaler. What you actually want is the raw truth of the high street: which shops of a given type exist, right now, in the towns you can service.

That truth lives on Google Maps. It is the most current directory of local retail on earth, updated constantly by owners and customers. The question is how to get it out of the map and into a working pipeline without spending your week copying phone numbers by hand.

From a Maps search to a list of retailers

The mechanics are simple. Open Google Maps and search the retail category you sell into, scoped to a place: "gift shops in Portland", "health food stores in Leeds", "pet stores in Austin". Google returns a scrollable list of matching businesses. With the Vonsel Chrome extension running, a capture button sits right on that results panel.

Click it, and the extension reads every listing on screen: business name, full address, phone, website, category, rating, and review count. It scrolls the results for you and keeps collecting. When you are done, you export a clean spreadsheet or push the batch to your dashboard. There is no API to configure and no script to run. It works inside the browser you already use.

The one boundary to know: Google shows roughly 120 results per individual search. For a wholesaler that is a feature, not a limit. You are not trying to scrape a whole country in one query. You are working town by town, category by category, which keeps your list clean and your territory logic honest. Run "hardware stores in Denver", then "hardware stores in Boulder", and you have two neighboring markets you can service on one trip.

A raw list is not a sales pipeline

Here is the honest part. A CSV of 300 shops is a starting point, not a result. Anyone with the extension can build that list. What separates a wholesaler who signs new stockists from one who lets the file rot in a downloads folder is what happens after the export.

That is the job of the Vonsel dashboard. When you push a capture into it, each retailer lands as a pin on a map inside a CRM, not a row in a sheet. You can see your whole target territory at a glance, cluster shops by neighborhood, and build a route of a dozen stores to walk in one afternoon. For a rep carrying samples, that map is the difference between eight visits a day and three.

On top of the map sits the intelligence layer that a raw scraper cannot give you. Review Intelligence reads each shop's Google reviews and surfaces what its customers actually care about, which tells you whether your product line fits before you walk in. Email Intelligence drafts a tailored intro email per business, referencing the specific store rather than a mail-merge blank. That is the contextualized, value-added database the brief is built around: data plus the reason to act on it.

The spreadsheet way vs the mapped-CRM way

Both columns start with the same free capture. The difference is purely in what you can do once the retailers are in front of you. If you would rather not rebuild that workflow across three disconnected apps, the mapped CRM is the reason the extension exists in the first place. See how it maps to your process on the plans page.

What this looks like for a small distributor

Say you distribute a line of artisan sauces and you can service three metro areas. Week one, you run category searches for delis, farm shops, gourmet grocers, and specialty food stores across each city. A morning of captures gives you a few hundred candidate stockists, deduplicated and mapped.

Week two, you filter. Not every shop is a fit, and the dashboard helps you prioritize: stores with strong review counts and food-focused customer language rise to the top, and you can work adjacent food-service accounts from the same base. You build routes so each day of driving hits the densest cluster of qualified shops.

Week three and four, you execute. In-person drop-ins for the shops on your route, a tailored intro email for the ones further out, and a CRM status on every single account so nothing slips. When you land a new city later, you reopen the same capture and extend it rather than starting over. That is a repeatable engine, not a one-off scrape.

For context on how much of the market this reaches, the US Census Bureau's business statistics count hundreds of thousands of small retail establishments, and the vast majority maintain a Google Maps presence. The monthly retail trade figures show just how fragmented and independent that base is, which is exactly the segment a nimble wholesaler can win.

Keep the whole thing legitimate

You are collecting business contact details for shops that publish them precisely so suppliers and customers can reach out. That is ordinary B2B prospecting, but it still pays to know the ground rules. Our guide on whether it is legal to scrape Google Maps covers the practical points, and it is worth reading before you run your first campaign.

Two habits keep you safe. First, treat the data as business information, not personal profiles: you are logging a shop's public phone and address, not a private individual. Second, when you email, be relevant and easy to unsubscribe from. A pitch that references the specific store and offers a clear product fit is both more effective and more defensible than a spray-and-pray blast. If you want to understand how Google structures this data underneath, its own Places API documentation is the canonical reference.

Once your list is captured, moving it into a working system is the last step. See how Google Maps leads flow into a CRM so every retailer you find becomes an account you can track rather than a line you forget.

Installing the extension

Getting started takes three steps. Download the extension, load it into Chrome using developer mode, then open Google Maps and click the Vonsel pop-up to start capturing. Chrome's own extensions getting-started documentation walks through the developer-mode load if you have never done it before. From there you are searching and capturing retailers in minutes.