Most teams that sell to local businesses end up in the same place: they need a clean list of dentists in Chicago, HVAC contractors in Texas, or restaurants in a specific neighborhood — with phones, emails, and ideally the name of the person who handles marketing or purchasing.
Google Maps is the richest public source for this data. The problem is turning a Maps search into an outreach-ready spreadsheet without locking yourself into a monthly subscription or paying for credits you may not use.
This guide walks through a practical workflow that works for agencies, cold email teams, appointment setters, and founders doing market research.
1. Start with a precise segment (not “restaurants”)
Broad searches create noisy lists. Narrow the brief before you touch any tool:
Business type — e.g. “independent dentists”, “residential HVAC contractors”, “Italian restaurants” Geography — city, metro, state, or a set of ZIP codes Quality signals — minimum rating, review count, has website, has phone Intent signals — no website (easy pitch for web design), weak reviews, missing socials Example briefs that convert well:
“Dentists in Chicago with a website and at least 20 reviews” “Roofing contractors in Illinois — phone-ready for calling” “Restaurants in Austin without a strong online presence” Why this matters: A list of 800 tightly filtered businesses will outperform 5,000 unfiltered ones almost every time. Filtering before export saves money and protects deliverability.
2. Pull the base list from Google Maps data
You need name, address, category, phone, website, rating, review count, and coordinates. These come from Google Maps place data.
Options range from the official Google Places API (expensive at scale and limited results per query) to dedicated scrapers and lead platforms. For one-off or project-based lists, pay-per-list tools are usually cleaner than monthly platforms: you see the expected count and price up front, review sample records, then buy only what you need.
On ScrapePlaces the flow is:
Enter business type + location (free, no card required) See expected record count, coverage stats, and price Review real sample businesses Choose a data pack and export CSV/Excel
3. Choose the right data pack for your channel
Use case What you need Typical pack Cold calling / appointment setting Phones + company context Cold Calling Pack Cold email Emails (validated) + socials + context Cold Email Pack Agencies / multi-channel Full profile + contacts + signals Complete Data Pack Paying only for the fields you will actually use keeps cost per usable lead low.
4. Filter before you export
Once the data is collected, apply filters so the final file matches your brief:
Has phone / has email / has website Rating and review count ranges Presence of social profiles Website technology signals (when available) Exporting 1,200 raw rows and then deleting 40% in Excel is wasteful. Filter first.
5. Go beyond the business: find the right person
A phone number or generic info@ email gets you to the company. For higher reply rates you usually want a named contact — owner, marketing director, partnerships lead, or purchasing decision-maker.
The better tools surface names and titles from the business’s own website and other public pages, and they show a source link so you can verify before you write. Avoid tools that invent email patterns; guessed addresses create bounces and hurt sender reputation.
ScrapePlaces Research does exactly this: for any business on your list (or one you type in), it looks for the people who handle marketing, partnerships, purchasing, operations or sales, returns names + titles + published work contacts when available, and links every finding to its source.
6. Turn the list into outreach
Once you have the spreadsheet:
Load into your CRM or sequencer Personalize using rating, review count, website quality, or the specific person’s title For email: stick to verified addresses and respect CAN-SPAM / CASL rules For calling: use the company context and rating signals to prioritize who to dial first
7. Realistic cost expectations (2026)
Pricing varies widely:
Base Google Maps place data is often a few dollars per thousand records Email enrichment and validation frequently add another several dollars per thousand Credit-based platforms can make total cost hard to predict until the job finishes Pay-per-list tools that show the full estimate before you pay remove that surprise For a typical city-level search of ~1,000–1,500 businesses with enrichment, expect somewhere in the low tens of dollars on a transparent pay-per-list model. That is usually far cheaper than a month of a broad B2B database if you only need one or two targeted lists.
