Piotr VassevPiotr Vassev

How to Find Local Business Leads on Google Maps (Step-by-Step Guide)

How to Find Local Business Leads on Google Maps

If you sell to small and medium-sized businesses — local SEO services, web design, reputation management, ad agencies, B2B SaaS for SMBs — Google Maps is the largest, most up-to-date directory of your prospects on the planet. Every dentist, plumber, roofer, restaurant, gym, and law firm with a Google Business Profile is sitting there, waiting to be turned into a structured outreach list.

This guide walks you through how to extract outreach-ready local business leads from Google Maps — names, phones, emails, websites, social links, and even AI-generated pitch angles — without writing a single line of code.

Why Scrape Google Maps for Leads?

Cold outbound starts with a list. The quality of that list determines how many meetings you book.

Most B2B data providers fall short for local outreach. They focus on enterprise companies with rich firmographic data, but they barely cover the corner pizzeria, the local roofer, or the family dental clinic. And the data they do have is often stale — addresses outdated, phone numbers disconnected, websites long since taken down.

Google Maps does not have this problem. It is constantly updated by:

  • Business owners who claim their Google Business Profile and keep it accurate to attract customers
  • Customers who leave reviews, photos, and corrections in real time
  • Google itself through automated checks against websites, phone numbers, and street imagery

The result is the cleanest, freshest, most complete database of local businesses in the world. The challenge is getting it out of Google Maps and into your CRM in a structured, deduplicated, outreach-ready format.

That is exactly what the Local Google Maps Lead Miner does:

  • Extracts every business matching your search query — name, category, rating, reviews, address, phone, website, GPS, place ID
  • Enriches each lead by visiting the business website to pull emails, social links, contact pages, and the tech stack the site is built on
  • Optionally calls AI to generate a business summary, ICP fit assessment, pitch angle, pain points, and a recommended offer for every prospect
  • Scores and filters leads so you only pay for prospects that match your criteria

In short — it turns a Google Maps search into a CRM-ready list with personalized angles for outreach.

What Data You Can Extract from Google Maps

The Local Google Maps Lead Miner returns a deeply structured object for every lead. Here are the key fields:

FieldDescriptionExample
businessNameBusiness name as listed on Google MapsWarsaw Dental Center
categoryPrimary business categoryDental clinic
ratingAverage Google rating4.8
reviewCountTotal number of reviews541
addressStreet address of the businessAleje Jerozolimskie, Warsaw, Poland
phonePublic phone number+48 22 542 18 04
websiteBusiness website URLhttps://warsawdentalcenter.pl/
domainBare website domainwarsawdentalcenter.pl
googleMapsUrlDirect Google Maps place URLgoogle.com/maps/place/...
placeId / cidGoogle's unique identifiers for the placeChIJ… / 1234567890
latitude / longitudePrecise GPS coordinates52.2387485, 21.0246285
businessStatusOpen, temporarily closed, or permanently closedopen
websiteEnrichment.emailsEmails extracted from the business websiteinfo@warsawdentalcenter.pl
websiteEnrichment.socialLinksFacebook, Instagram, X, LinkedIn, YouTube, TikTokfacebook.com/warsawdentalcenter
websiteEnrichment.hasContactFormWhether the website has a contact formtrue
websiteEnrichment.detectedTechnologiesTechnology stack detected on the sitewordpress, google-tag-manager
leadScore0–100 score combining all available signals80
leadScoreReasonHuman-readable explanation of the scoreHas website; Has phone; Email found; ...
ai.businessSummaryAI-generated short summary of the businessHighly-rated dental clinic in central Warsaw
ai.idealCustomerFitICP fit grade (low / medium / high)medium
ai.pitchAnglePersonalized angle for cold outreachBoost your already excellent reputation with stronger local SEO.
ai.painPointsLikely problems the business is facingNo contact form on homepage; Limited social engagement
ai.recommendedOfferMost relevant offer for this prospectGoogle Business Profile optimization

This is enough data to write a personalized cold email or LinkedIn message for every lead — without ever opening Google Maps yourself.

Common Use Cases

Local SEO Agencies

If you sell local SEO, your ideal prospects are SMBs that already rank in Google Maps but have visible weaknesses — low review counts, missing or outdated websites, no social presence, or a half-finished Google Business Profile. Pull every chiropractor, plumber, or law firm in your target city, filter for businesses with a website but few reviews, and you have a hyper-qualified outreach list in minutes.

Web Design and Development Studios

Filter leads by their detected technology stack to find businesses on outdated platforms or with no proper website at all. A business with a 4.8-star rating, hundreds of reviews, and a barely functional WordPress site from 2014 is a perfect prospect for a redesign pitch.

Reputation Management Services

The combination of rating and reviewCount is a goldmine for reputation management providers. Find businesses with rating ≤ 3.8 (problem to fix) or rating ≥ 4.5 with low review counts (room to grow). Either segment is a clear fit for review acquisition, response management, and reputation monitoring services.

Ad Agencies and PPC Specialists

Use the AI enrichment to grade each business by ICP fit and pitch angle. A roofer with no contact form, no Instagram, and a 4.6-star rating across 80 reviews is a prime candidate for a Google Local Services Ads or Meta Ads campaign — and the AI will tell you exactly why and how to pitch it.

B2B SaaS for SMBs

If you sell scheduling software for salons, POS systems for restaurants, or job-tracking software for tradespeople, Google Maps is the most accurate source of your TAM. Pull the entire universe of relevant businesses in a city, filter by review volume to focus on active operators, and feed the list straight into your outbound sequencer.

Local Market Research and Site Selection

Each lead includes precise GPS coordinates, business category, rating, and review count. This is enough to map service density, identify underserved neighborhoods, and benchmark business quality across an entire city — useful for franchisors, commercial real estate, and competitive intelligence.

Why Manual Lead Mining Doesn't Scale

Anyone who has tried to build a local lead list by hand knows the pain:

  • Volume — a single search like "dentists in London" can return hundreds of businesses across multiple result pages
  • Pagination — Google Maps uses scroll-based loading that requires careful automation to avoid missing results
  • Website enrichment — each business website has its own structure. Pulling emails, socials, and contact forms consistently across thousands of sites by hand is impossible
  • Deduplication — chains, multiple branches, and slightly different name variants cause duplicate leads that pollute outreach lists and damage sender reputation
  • Filtering — qualifying leads by rating, review count, and "must have a website" requires reading every listing manually
  • Personalization — writing a tailored opener for every prospect is the most valuable outbound activity, and the most expensive in human time

The Local Google Maps Lead Miner handles every step automatically — extraction, enrichment, dedupe, scoring, and AI personalization — so you spend your time on conversations, not data entry.

Step-by-Step: How to Mine Local Leads from Google Maps

Here is how to use the Local Google Maps Lead Miner on Apify.

Step 1 — Define Your Target Searches

Start with a clear definition of who you want to reach. The actor accepts either:

  • Search queries like dentists in Warsaw, roofers in Chicago, or law firms in London
  • Pre-built Google Maps search URLs if you have already filtered or geo-positioned the search yourself

Tip: be specific. coffee shops in Brooklyn will give you more focused, relevant leads than coffee shops in New York. You can pass multiple queries in a single run to cover several niches or cities at once.

Step 2 — Configure Filters

Tighten the result set with filters before you spend a cent on AI enrichment:

  • minRating — drop businesses below a quality threshold (e.g., 4.0)
  • minReviews — focus on actively operating businesses (e.g., reviewCount ≥ 10)
  • onlyWithWebsite — keep only leads that have a website (essential for web design or SEO outreach)
  • onlyWithPhone — keep only leads with a phone number (essential for cold call campaigns)
  • includeClosedBusinesses — exclude permanently closed listings to keep your list clean
  • language and country — set the locale to match your target market

These filters apply before the lead is pushed to the dataset, so you never pay for prospects that do not match your criteria.

Step 3 — Choose Your Enrichment Tier

The actor has three usage modes you can mix and match:

  • Phones-only outreachenrichWebsite=false, aiEnrichment=false. Fastest and cheapest; useful for cold-calling campaigns where the phone number is all you need.
  • Standard (emails + socials)enrichWebsite=true, aiEnrichment=false. The actor visits each business website and pulls emails, social links, contact forms, and detected tech. This is the default for most cold email and LinkedIn campaigns.
  • Sales-ready with AI pitchenrichWebsite=true, aiEnrichment=true. Adds AI-generated business summaries, ICP fit grades, pitch angles, pain points, and recommended offers to every lead. Use it for high-stakes outreach where personalization is critical.

Step 4 — Run the Actor

Click Start. The scraper will:

  1. Run each Google Maps search and scroll through the results
  2. Open every place page and extract structured business data
  3. Visit each business website (if enrichment is enabled) and parse emails, socials, and tech
  4. Optionally call OpenAI to generate the AI fields for every qualifying lead
  5. Deduplicate against placeId, cid, normalized URL, phone+domain, and name+address
  6. Apply filters and push the final, scored leads to the dataset

Default settings — residential proxy, low concurrency, cookie-consent handling — keep the scrape stable and respectful of Google Maps and the websites it visits.

Step 5 — Export Your Leads

When the run finishes, export the dataset in your preferred format:

  • CSV — drag-and-drop into Instantly, Smartlead, Lemlist, Apollo, HubSpot, or any modern outreach tool
  • JSON — for developers building custom enrichment pipelines or CRM integrations
  • Excel — for sales teams that prefer to qualify leads in a spreadsheet
  • HTML — for quick visual review

Ready to try it? Run the Local Google Maps Lead Miner on Apify and get your first lead list in minutes.

Example Output (Real Lead Preview)

Local Google Maps Lead Miner results

Here is what a single lead looks like in the actor's output:

{
  "searchQuery": "dentists in Warsaw",
  "businessName": "Warsaw Dental Center",
  "category": "Dental clinic",
  "rating": 4.8,
  "reviewCount": 541,
  "address": "Aleje Jerozolimskie, Warsaw, Poland",
  "phone": "+48 22 542 18 04",
  "website": "https://warsawdentalcenter.pl/",
  "domain": "warsawdentalcenter.pl",
  "googleMapsUrl": "https://www.google.com/maps/place/Warsaw+Dental+Center/...",
  "placeId": "ChIJ…",
  "cid": "1234567890",
  "latitude": 52.2387485,
  "longitude": 21.0246285,
  "businessStatus": "open",
  "websiteEnrichment": {
    "title": "Warsaw Dental Center — Premium Dental Clinic",
    "metaDescription": "Comprehensive dental services in central Warsaw…",
    "emails": ["info@warsawdentalcenter.pl"],
    "phones": ["+48 22 542 18 04"],
    "socialLinks": {
      "facebook": ["https://facebook.com/warsawdentalcenter"],
      "instagram": ["https://instagram.com/warsawdentalcenter"],
      "twitter": [],
      "linkedin": [],
      "youtube": [],
      "tiktok": [],
      "other": []
    },
    "contactPageUrl": "https://warsawdentalcenter.pl/contact",
    "aboutPageUrl": "https://warsawdentalcenter.pl/about",
    "hasContactForm": true,
    "detectedTechnologies": ["wordpress", "google-tag-manager"]
  },
  "leadSignals": {
    "hasWebsite": true,
    "hasPhone": true,
    "hasEmail": true,
    "hasSocialLinks": true,
    "hasManyReviews": true
  },
  "leadScore": 80,
  "leadScoreReason": "Has website; Has phone number; Email found; Has social links; Has meaningful review volume",
  "ai": {
    "businessSummary": "Highly-rated dental clinic in central Warsaw with strong online reputation.",
    "idealCustomerFit": "medium",
    "pitchAngle": "Boost your already excellent reputation with stronger local SEO.",
    "painPoints": ["No contact form on homepage", "Limited social engagement"],
    "recommendedOffer": "Google Business Profile optimization"
  }
}

Things to notice:

  • Outreach-ready by default — you have business name, phone, address, website, email, social links, and a personalized pitch angle in a single object
  • Lead score with reasoning — the leadScore and leadScoreReason make it trivial to sort, prioritize, and split your list into A/B/C tiers
  • AI grounded in evidence — the ai.pitchAngle and ai.painPoints reference real, scraped signals about the business, not generic flattery
  • Tech stack detection — knowing the business is on WordPress with Google Tag Manager is gold for web design and PPC pitches
  • Multi-channel ready — phone for cold calls, email for cold email, socials for LinkedIn / Instagram outreach, and a contact form fallback if all else fails

This format drops directly into any modern sales stack with no transformation required.

Try the Local Google Maps Lead Miner now — no coding required.

Pricing — Pay Only for Real Leads

The actor uses pay-per-event pricing. You only pay for what you actually receive. Failed page loads, dropped leads (filters/dedupe), failed website fetches, and failed AI calls are never charged.

EventWhen it firesPrice
lead-extractedEvery unique business pushed to the dataset (after filtering and dedupe)$0.008
website-enrichedWhen the website fetch yields useful data — emails, socials, contact pages, tech stack, or page title$0.004
ai-enrichmentWhen the AI fields are successfully populated$0.012

Effective costs by tier:

  • Phones-only outreach — ~$8 per 1,000 leads
  • Standard (emails + socials) — ~$12 per 1,000 leads
  • Sales-ready with AI pitch — ~$24 per 1,000 leads

For comparison, most B2B data providers charge $0.50–$2.00 per contact for stale, enterprise-only data. The Local Google Maps Lead Miner gives you fresher, hyper-local SMB data at a fraction of the cost — with personalized AI pitch angles built in.

Automating Lead Generation

Once you find a niche that converts, the next move is to automate. The Apify platform supports full automation:

Scheduled Runs

Set up recurring scrapes — daily, weekly, or monthly. New businesses appear on Google Maps constantly, and a weekly run keeps your outreach pipeline fed with fresh leads. Scheduled runs are ideal for agencies that need a steady flow of new prospects in a target city or vertical.

API Integration

Use the Apify API to trigger runs programmatically and retrieve results. This lets you:

  • Push new leads directly into your CRM (HubSpot, Pipedrive, Close, Salesforce)
  • Drop leads into Instantly, Smartlead, or Lemlist for automated email sending
  • Hand-off to AI assistants that further qualify or research each lead
  • Build custom dashboards for lead pipeline visibility

Multi-City Pipelines

If you operate across multiple metros, run parallel scraper instances per city and combine results into a unified, deduplicated lead database. The actor's deduplication logic ensures the same business never lands in your CRM twice — even if it shows up under slightly different name variants across cities.

Node.js Example

For a complete working example showing how to call this scraper from Node.js, see the GitHub repository.

Webhooks

Configure webhooks to fire when a run completes. This is perfect for event-driven outreach pipelines — as soon as fresh leads land, your sequencer can pick them up and start sending automatically.

Tips for Getting the Most Out of Google Maps Leads

Start Narrow, Then Expand

Pick one tight niche in one city for your first run — say, roofers in Phoenix or dental clinics in Warsaw. Validate that the leads convert. Then expand to adjacent cities or related verticals. This is much more efficient than scraping a giant generic list and discovering the offer doesn't resonate.

Use Filters Aggressively

Every lead that passes your filters costs money, so be ruthless:

  • minReviews=10 filters out brand-new or inactive listings
  • minRating=4.0 focuses on quality businesses with happy customers
  • onlyWithWebsite=true is essential for web design, SEO, and ad pitches
  • onlyWithPhone=true is essential for cold call campaigns

A tight filter set can cut your costs by 50%+ and dramatically raise reply rates.

Combine Lead Score with AI Pitch

Sort the dataset by leadScore descending, then look at the ai.pitchAngle and ai.painPoints for the top decile. These are your highest-fit prospects with personalized outreach copy already attached — perfect candidates for a manual or semi-manual outreach push before scaling.

Use the Tech Stack as a Qualifier

websiteEnrichment.detectedTechnologies is a free segmentation axis. Filter for businesses on platforms your offer plugs into — WordPress for SEO and CRO services, Shopify for ecommerce optimization, Wix or Squarespace as redesign opportunities.

Layer in Other Signals

Combine Google Maps leads with LinkedIn decision-maker data to find the actual person to email at each business — owner, marketing manager, GM. This turns a list of businesses into a list of named contacts with a personalized angle.

Does Google Offer an API for This?

Google does provide the Places API, but it has serious limitations for lead generation:

  • Strict per-call billing that quickly becomes expensive at lead-generation volumes
  • Limited fields per query type — getting all the fields the actor returns would require multiple paid API calls per place
  • No website enrichment — emails, social profiles, contact forms, and tech stack detection are not part of the API
  • No AI enrichment — pitch angles, ICP fit, and pain points are entirely on you to build
  • No deduplication or lead scoring — you receive raw data and have to write your own pipeline

The Local Google Maps Lead Miner is purpose-built for outbound lead generation, with all the enrichment, scoring, and pricing model designed around that workflow.

Why Use a Pre-Built Lead Miner Instead of Building One

Building a Google Maps scraper that produces outreach-ready leads is much harder than it looks:

  • Anti-bot defenses — Google Maps is one of the most aggressively protected web properties. Scrolling, clicking, and place page extraction need careful automation and high-quality residential proxies
  • Multi-region behavior — Google Maps localizes results, layouts, and cookie banners by country. Supporting multiple geos in one scraper is non-trivial
  • Website enrichment at scale — every business website is built differently. Pulling emails, socials, and tech stack consistently across thousands of heterogeneous sites is its own engineering project
  • Deduplication logic — combining placeId, cid, URL normalization, phone+domain, and name+address heuristics is the difference between a clean list and a list full of duplicates
  • AI cost control — naive AI enrichment burns money on poor-fit prospects. Smart filtering before the AI step is essential to keep unit economics sane
  • Maintenance — Google Maps and the long tail of business websites change constantly. A custom scraper requires ongoing fixes to stay reliable

Using a maintained, pre-built tool means you spend your time talking to leads, not babysitting scrapers.

Try the Local Google Maps Lead Miner

The Local Google Maps Lead Miner turns Google Maps searches into outreach-ready local business leads — names, phones, emails, social links, websites, tech stacks, and AI-generated pitch angles, all in a single run.

What you get:

  • Structured JSON, CSV, Excel, or HTML output ready to drop into your sales stack
  • Every key field — name, category, rating, reviews, address, phone, website, place ID, GPS
  • Website enrichment with emails, social profiles, contact pages, contact forms, and tech detection
  • Optional AI enrichment with business summary, ICP fit, pitch angle, pain points, and recommended offer
  • 0–100 lead score with a human-readable reason for every prospect
  • Smart filters (minRating, minReviews, onlyWithWebsite, onlyWithPhone, closed-business toggles)
  • Bulletproof dedupe across placeId, cid, normalized URL, phone+domain, and name+address
  • Conservative crawling with residential proxy, low default concurrency, and graceful cookie-consent handling
  • Pay-per-event pricing — you only pay for leads that pass your filters
  • Scheduled runs, API access, and webhook support for full automation

Start mining local leads now — your first list takes less than 5 minutes to set up.

Legal and Ethical Considerations

Web scraping for lead generation occupies an established legal space, but responsible practice is non-negotiable:

  • Public data only — the actor extracts publicly visible business information that anyone can view on Google Maps. No login required
  • Business data, not personal data — the actor focuses on business contact details (info@ emails, business phones, business addresses), not personal data of individuals
  • GDPR and privacy compliance — if you target EU businesses, ensure your outreach complies with GDPR, ePrivacy, and any local opt-out requirements
  • CAN-SPAM and analogous laws — every cold email you send must comply with applicable anti-spam regulations: real sender identity, valid physical address, working unsubscribe link
  • Respect rate limits — the actor uses conservative crawling defaults to avoid putting load on Google or business websites
  • No harassment — use the data for legitimate B2B outreach. Do not abuse phone numbers or emails for spam, scams, or harassment

Treat lead data as if it were yours — clean, segmented, and respected. Your sender reputation and your brand depend on it.

Frequently Asked Questions

Is scraping Google Maps business listings legal?

Scraping publicly visible business listings from Google Maps is generally legal. Business names, addresses, phone numbers, websites, ratings, and reviews are public information shown to any visitor. Use the data responsibly, comply with applicable data privacy laws like GDPR for any personal data, and avoid sending spam.

What input does the Local Google Maps Lead Miner accept?

You can provide either a list of search queries (for example, dentists in Warsaw or roofers in Chicago) or pre-built Google Maps search URLs. The actor scrolls Google Maps, opens each place page, and returns structured leads.

Can I get email addresses from Google Maps?

Google Maps itself rarely lists emails directly, but the actor enriches each lead by visiting the business website and extracting emails, social profiles, contact pages, and contact form availability. This produces email-ready leads in a single run.

What is the lead score and how is it calculated?

Every lead ships with a 0–100 leadScore and a leadScoreReason explaining how the score was derived. Signals include having a website, phone, email, social links, and meaningful review volume. Higher scores indicate more outreach-ready prospects.

Does the actor deduplicate leads?

Yes. Leads are deduplicated by placeId, cid, normalized Google Maps URL, phone+domain, and name+address. Running the same query twice or across overlapping queries will not pollute your dataset with duplicates.

How much does it cost to scrape leads?

The actor uses pay-per-event pricing. Phones-only outreach (no website fetch, no AI) costs roughly $8 per 1,000 leads. Standard with emails and socials costs ~$12 per 1,000 leads. AI sales-ready pitches cost ~$24 per 1,000 leads. You only pay for leads that pass filters and dedupe.

About the Author

This guide was written by Piotr, a software engineer with hands-on experience building and maintaining web scrapers at scale. He develops and maintains a suite of data extraction tools on the Apify platform, helping businesses automate their data collection and lead generation workflows.

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Piotr Vassev

Piotr Vassev

Founder of FalconScrape. Building production-grade web scraping systems and data automation pipelines for businesses worldwide.

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