If you sell to restaurants — delivery tech, marketing services, POS systems, loyalty apps — you already know the annoying first step: finding the restaurants. Not just any restaurants, but ones that actually match your ICP: a specific cuisine, in specific cities, on UberEats.
The usual workflow looks like this: open UberEats, search "pizza" in a city, scroll, copy names and URLs into a spreadsheet, switch city, repeat. For a 20-city territory, that's an afternoon gone before you've sent a single email.
I got tired of doing this by hand, so I automated it with the UberEats Stores Search by Location and Keyword actor on Apify — and turned it into a real lead-list pipeline in about 10 minutes.
The idea
The actor takes two simple inputs — a list of delivery addresses and a search keyword — and returns structured data for every matching store: name, UberEats URL, rating, rating count, estimated delivery time, city, and images. No browser, no manual scrolling, no HTML to parse.
