Local lead generation by industry
TL;DR
Most local outreach fails because the list is wrong, not because the pitch is weak. The fastest way to build a relevant lead list is to start from the category and geography a vertical actually lives in — restaurants by cuisine and city, contractors by trade and service area, clinics by specialty — then export structured records you can act on. gtme.business turns Google Maps into that list: pick categories from 3,900+ options across 200+ countries, search to the city, and export as CSV or sync to your own database.
What is lead generation by industry?
Lead generation by industry is the practice of building prospect lists scoped to a specific vertical — its business categories, its geography, and the signals that matter to it — rather than scraping a generic “all businesses near me” list. The output is a clean set of records (name, address, phone, website, rating, category, and more) that maps to how that industry is actually organized.
The reason this matters is that “local business” is not one market. A roofing list and a dental list share almost no qualifying criteria. Roofers are filtered by trade and service radius; dental practices are filtered by specialty and patient-facing reputation. Treating them the same produces a list that’s technically large and practically useless. Building by industry means choosing the right categories and the right fields up front, so the list is ready to work the moment it’s exported.
How do you build a restaurant and food lead list?
Food is the easiest vertical to over-collect and under-qualify, because Google Maps has so many overlapping categories. Start narrow. Instead of “restaurants,” search the specific categories that match your offer — pizza, sushi, cafes, bakeries, bars, food trucks, ghost kitchens — across the cities you serve. The category field on each record lets you confirm you pulled what you intended.
The fields that carry the most weight here are website, rating, and review count. A restaurant with a strong rating and hundreds of reviews but no website is a different prospect than a polished chain location, and you can sort by those fields after export. Business hours and price level help you segment further: lunch-only spots, late-night venues, and high-ticket establishments are distinct campaigns. For multi-city food brands, the GPS coordinates and Google Maps link make it easy to confirm you’re reaching the right location rather than a duplicate listing.
How do you build a home services lead list?
Home services — contractors, plumbers, HVAC, roofers, electricians, landscapers — are the cleanest fit for category-plus-geography targeting, because the trade is the qualifier. Search each trade as its own category, scoped to the metro or set of cities you cover. Because these businesses live and die by their service radius, the address and GPS coordinates are the fields that tell you whether a lead is actually reachable for your offer.
Phone and website matter differently here than in food. Many home-services operators run lean, so a missing website is a signal, not a disqualifier — it can mark a business that’s a fit for web, booking, or marketing services. Rating and review count help you separate established operators from new entrants. If you sell to contractors at scale, build one list per trade rather than a combined one; the qualifying criteria, the pitch, and the channel all differ between a plumber and a roofer, and keeping them separate keeps your sequences honest.
A practical pattern: run the same trade across a list of cities in one pass. With the pricing model — locations × search terms, up to ~500 results per search — covering a whole region for a single trade is straightforward, and you can sync the results to your own Supabase so repeat pulls deduplicate against what you already have.
How do you build medical, dental, and automotive lists?
Medical and dental lead lists hinge on specialty. “Dentist,” “orthodontist,” “dermatologist,” “physical therapy,” and “veterinary” are separate categories with separate buyers, so search them individually rather than collapsing them into “healthcare.” Website and rating are strong proxies for how patient-facing and marketing-aware a practice is, which is exactly what most vendors selling into healthcare want to know before they reach out. These records can also carry sensitive context, so handle them accordingly — see the FAQ on compliance below.
Automotive splits along a similar axis: dealerships, independent repair shops, body shops, tire and oil-change centers, detailers, and car washes are distinct categories with distinct economics. Service-side automotive businesses (repair, body, tire) behave much like home services — address and hours drive reachability — while dealerships behave more like high-consideration retail, where rating and review count carry weight. Pick the category that matches who you actually sell to, and the rest of the list follows.
How do you build professional services lists?
Professional services — law firms, accountants, real estate brokerages, insurance agencies, financial advisors — are category-rich and geography-sensitive. Search by the specific profession and the city, then lean on website and phone as your primary outreach fields, since these firms are almost always contactable through a clear front door. Rating and review count still help with prioritization, but professional firms are often won on relevance and timing more than on reputation signals.
The advantage of building these lists by category is precision: “personal injury lawyer,” “tax accountant,” and “commercial real estate” are different audiences even within the same city, and pulling them separately keeps your messaging specific. Because each record includes a Google Maps link and full address, your team can verify a firm and route it to the right rep without leaving the spreadsheet. For agencies serving multiple verticals, the consistent 11-field schema means every list — legal, accounting, insurance — loads into the same CRM or workflow without remapping columns each time.
Frequently asked questions
Which fields matter most for each industry?
It varies by vertical. Food leans on rating, review count, hours, and price level; home services and service-side automotive lean on address, GPS, and phone; professional services lean on website and phone. Every record carries up to 11 fields — name, full address, phone, website, Google rating, review count, category, GPS coordinates, business hours, price level, and a Google Maps link — so you can sort and segment after export rather than deciding everything up front.
How many results can I expect per search?
The pricing model is locations × search terms, with up to roughly 500 business results per search. So a single trade across one city is one search; the same trade across ten cities is ten. New accounts start free and no card, which is enough to build and test lists across several verticals before committing to a plan. See pricing for plan details.
Should I build one big list or several smaller ones?
Several smaller ones, organized by category. A combined “all local businesses” list forces you to re-segment later and mixes audiences with incompatible qualifying criteria. Building one list per category and geography — per trade, per specialty, per profession — keeps your outreach specific and your data clean. See how it works for the full workflow.
Can I keep my lists updated over time?
Yes. On Pro and Business plans you can sync leads directly into your own Supabase database, where results are deduplicated and upserted on each run. That means re-pulling a category for a region adds only what’s new and updates what’s changed, rather than creating duplicates you have to clean by hand.
Does this work outside the US?
Yes. Coverage spans 200+ countries and you can search down to the city, so the by-industry approach works the same whether you’re building a list of cafes in one metro or HVAC contractors across a region. See use cases for examples by team type.
Is it legal to collect this data?
Obligations vary by jurisdiction — including GDPR and similar regimes — and by the terms of the platforms involved, and they can differ depending on how you use the data. We don’t offer a verdict here. Review the laws that apply to you and the relevant platform terms, and consult counsel if you’re unsure how they apply to your use case.