Local business data (2026): how we build SMB lead lists, and the sources compared

Our local list pipeline has four steps: discover places with Serper, rank them on the fields Serper returns, scrape full details from Google Maps through Apify only for the top places we do not already hold, then find the owner and their contact details. Running discovery first cut the paid scrape to the places that score well, and every Apify run carries a hard spend cap.

These pull the same Google Maps listings with less setup than Apify, at the price of less control over the query. Each returns businesses, not people, so plan an enrichment step after.

These vendors compile business records from registries, directories, phone books and calls, and sell them as lists or subscriptions. They cover businesses with no web presence that Maps misses, with SIC codes, employee counts and sales estimates. Freshness varies, so test a sample against Maps before you buy a big file.

These are licensed APIs with clear terms, built to show listings inside an app. Display and storage rules make them a poor fit for exporting a lead list, but they are the clean way to look up or verify one business.

Build a local list as a pipeline. This is the order we run it in, and each step only touches the records that survived the step before.

Size the market first. Count businesses of your type per county or metro with our TAM calculator before you pay for anything.

Small businesses open, close, move and change owners faster than any database refreshes. Google Maps flags permanently and temporarily closed places, so drop those first. A compiled file bought six months ago will hold a share of closed businesses and dead phone numbers. Check that the website still loads and that the place has recent reviews before a record reaches a rep.

This is a summary, not legal advice. Google Maps Platform terms forbid scraping or bulk exporting Google Maps content, and Google's general terms restrict automated access. Third-party scrapers collect publicly visible listings, but the account and legal risk of using that data sits with you. Licensed sources (the Places API, Yelp, Foursquare, Data Axle, Openmart) avoid that question at a higher price.

Calling is the stricter channel. Under the TCPA, autodialed or prerecorded calls and texts to a mobile number need prior express consent, and many small business owners list a personal mobile as the business line. Scrub numbers against the National Do Not Call Registry and state lists before a dialer touches them. Cold email to US businesses falls under CAN-SPAM, which requires a working opt-out and a physical address, and email to EU or UK sole traders falls under GDPR and PECR.

Scrape Maps when the businesses you sell to have a storefront or show up in local search: trades, gyms, clinics, salons, restaurants. You get fresh listings with reviews and websites at a few dollars per 1,000.

Buy a compiled database when you need businesses with no web presence, US SIC codes and sales estimates for mail, or coverage across many countries. Expect contracts and a sample check before you trust the file.

For outbound, most of the value comes after either source: a named owner with a validated email. Budget more for that step than for the list.

Exporting a Maps list takes an hour. Turning it into owners with working emails and phones, without paying to scrape places you will never call, takes a pipeline with caching, ranking and spend caps.

OneGTM builds local business lists end to end: discovery, ranking, scraping, owner research and contact enrichment, with the cost per record measured on a pilot before it runs at scale. You own the code and the data.