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Healthcare · lead generation

Pharmacy lead finder

Delivered

One sentence in his own Claude returns a sheet of compounding pharmacies, each with its published email.

Diagram: he asks his Claude for compounding pharmacy leads; a registry list, a Google Maps lookup and a match rule in code produce a sheet with one email per pharmacy
One sentence in, a sheet of pharmacies out.

What I built

Lists from the registry

A starting list for each state from the national provider registry: every active compounding pharmacy, with chains, grocery stores, hospitals and clinics removed, and the owner or pharmacist in charge as the contact.

A lookup in his account

One Google Maps search per pharmacy in his own Apify account, reading the contact details each pharmacy's website publishes.

A finished sheet

Junk and head-office addresses dropped, one email per pharmacy, his existing list removed, and stores with no website kept as a call list with phone numbers.

In their words

“This is great. Thanks for the explainer video, well done! I have installed the plug-in and it's working.”

Curtis Cole, CEO, Medari Advisors

Engineering

Code accepts an email only on a registry phone or name-and-town match, never a guess.

How it fits together
A Claude plugin; Python scripts decide, the model drives the run.
Tested
Script tests built from a real run.

My role. I built it, from the spec call to the plugin and walkthrough video.