The Smart Way to Find Local Businesses That Actually Matter

Stop wasting time on giant contact lists. Build smaller, sharper ones that match your real customers.

Most people who sell to local businesses make the same mistake. They try to collect as many contacts as possible, thinking more data means more sales. What they end up with is a massive spreadsheet full of noise - thousands of names they’ll never contact and have no real use for.

Finding leads is not about volume. It’s about precision. The goal isn’t to know every business in Miami. It’s to know the 50 that would actually pick up the phone when you call.

Here’s a simple, practical process that helps you find high-quality local businesses at scale, using real data instead of guesswork.

Step 1. Build the Initial List

Start broad. You first need to collect a wide set of potential businesses before you can filter out the noise.

Let’s say you sell a product for bakeries in the Miami metro area. Create a list of search phrases people would actually use:

• bakery shop miami

• bakery miami beach

• bakery 33139 florida

• pastry shop miami

• bakery coral gables

• bakery aventura

• bakery hollywood fl

• panadería miami

These variations capture different results that one keyword would miss.

If you don’t want to brainstorm manually, use ChatGPT or any AI tool to generate the keyword list. Play with a few prompts until you get the most natural variations people search for.

Example prompt:

“Generate 25 keyword variations people might use on Google Maps to find local bakeries in the Miami metro area, including nearby cities and Spanish terms.”

Now go to Hexomatic and create a workflow.

• Add your keyword list as the data input.

• Use the Google Maps Scraper automation.

• For each keyword, it will scrape visible business listings, including:

  • Business name

  • Website

  • Full address

  • Category

  • Phone number

  • Number of reviews

  • Average rating

This gives you a raw dataset - your first layer of information. It will include duplicates and irrelevant entries, but that’s fine. You’ll clean it next.

Step 2. Filter for Quality

Download the data or open it directly in Google Sheets. This is where quality comes in.

Filter out irrelevant or low-quality entries by:

• City or ZIP code if you want to stay local

• Category to remove unrelated businesses

• Review count or rating if you prefer active, established companies

• Website availability if you plan to do email outreach or analyze their site later

Each business type has different filters that define a good lead. A bakery with 100+ reviews and a website might be more serious about operations than one with zero reviews and no web presence.

After a quick cleanup, you’ll have a smaller but sharper list.

Step 3. Enrich and Validate

Now that you have your filtered list, it’s time to enrich it.

Go back to Hexomatic.

• Use the Email Scraper automation to collect verified contact emails.

• Add the Website Scraper to extract more details like product types, menu, or services.

• You can even use AI automations to analyze the scraped content and identify whether they fit your ideal customer profile.

Once done, you’ll have a refined and verified list of businesses worth reaching out to.

The Point

Don’t chase volume. Focus on relevance. Every irrelevant contact costs time and weakens your focus. A small list of the right people beats a big list of random ones every single time.

If you want us to create this workflow or a ready-to-use scraping template for your niche, we can do it for you through our Concierge Service.

Book a free call and we’ll show you how to get high-quality local leads at scale - no spam, no noise.