Google Maps Leads Scraper: emails, phones and decision makers for local businesses

Find local business leads on Google Maps and get the people behind them. Give it a category and a city (dentist in Austin, TX, marketing agency in Denver, CO) and it returns every business with name, category, address, phone, website, rating, review count and coordinates, then reads each business's own website for emails, phone numbers, social profiles and the named decision makers (owner, founder, CEO, managers) with their titles and published emails. One row per business. From $0.0015 per place; you pay for contacts and people only when they are found.

To try it: click Start with the prefilled input (10 dentists in Austin, about 15 seconds), or with an empty input to run a built-in example (5 places with website contacts).

What it does

1. Searches Google Maps for each search you give it, 20 places per page, until it has maxPlacesPerSearch new places or Google has no more (about 150 to 210 places for a big city and a common category). Places seen in an earlier search of the same run are skipped, so overlapping searches do not bill twice.
2. Adds website contacts (on by default): reads the business's home page and its contact, about and legal pages and returns the emails on the business's own domain (best first, with the page each came from), phone numbers in international format, social profiles and the contact page link.
3. Adds decision makers (optional): reads the business's team, about, leadership and Impressum pages and returns named people with job title, seniority, LinkedIn link when the site shows it, and the email the site publishes for that person. Optionally it adds an inferred email for people with no published one (see below).

Every business that Google returns gets a row with a clear status, so a website that is down or blocked never makes a lead disappear: the Maps fields are still there and the enrichment fields say why they are empty.

Use cases

• B2B lead lists: every marketing agency, law firm, dentist or roofer in a city with a phone, an email and the owner's name.
• Local sales outreach: find businesses with no website (onlyWithWebsite off, then filter website empty) or with a poor rating.
• Market mapping and territory planning: count and locate competitors by category with coordinates.
• CRM enrichment: fill phone, website, email and owner for a list of local accounts.
• AI agents that need "local businesses of type X in city Y, with a way to contact them" as a single tool call.

Input

{
  "searches": [
    {"query": "marketing agency", "location": "Denver, CO"},
    "plumber in Austin, TX"
  ],
  "maxPlacesPerSearch": 60,
  "includeWebsiteContacts": true,
  "includeDecisionMakers": true,
  "inferEmails": false,
  "maxPeoplePerPlace": 3
}

• searches: free text (plumber in Austin, TX) or {query, location} objects. One search returns up to about 200 places, so split large areas into cities or neighbourhoods.
• maxPlacesPerSearch: new places per search (default 20, up to 1000; Google itself stops at about 200). maxItems: hard cap for the whole run.
• includeWebsiteContacts (default on), includeDecisionMakers (default off), inferEmails (default off), maxPeoplePerPlace (default 3, most senior first), seniority filter.
• onlyWithWebsite: leave out places that list no website (not returned, not billed).
• language, country: Google's language and regional bias. maxPagesPerWebsite, maxTeamPages, maxConcurrency, delaySecs, respectRobotsTxt (default on) and proxyConfiguration (default none).

Output

One row per business, people nested.

{
  "placeId": "ChIJ4wjr7dK3RIYRk3qS0wU4Aqk",
  "name": "Peaks Digital Marketing | Denver SEO",
  "category": "Marketing agency",
  "address": "1300 S Broadway, Denver, CO 80210",
  "city": "Denver",
  "latitude": 39.6,
  "longitude": -104.98,
  "phone": "(720) 432-7115",
  "website": "https://www.peaksdigitalmarketing.com/",
  "rating": 4.9,
  "reviewCount": 120,
  "mapsUrl": "https://www.google.com/maps/place/?q=place_id:ChIJ4wjr7dK3RIYRk3qS0wU4Aqk",
  "status": "ok",
  "contactsStatus": "ok",
  "peopleStatus": "ok",
  "bestEmail": "info@peaksdigitalmarketing.com",
  "emails": [{"value": "info@peaksdigitalmarketing.com", "kind": "generic", "foundOn": "https://www.peaksdigitalmarketing.com/contact"}],
  "phones": ["+17204327115"],
  "socialLinks": {"linkedin": ["https://www.linkedin.com/company/peaks-digital-marketing"]},
  "contactPageUrl": "https://www.peaksdigitalmarketing.com/contact",
  "people": [
    {"name": "David A. Finberg", "title": "CEO & Founder", "seniority": "founder", "linkedinUrl": null, "email": null,
     "emailInferred": false, "pattern": null, "evidence": null, "confidence": null,
     "sourceUrl": "https://www.peaksdigitalmarketing.com/about"}
  ],
  "searchRank": 1,
  "input": "marketing agency in Denver, CO",
  "scrapedAt": "2026-10-15T12:30:00+00:00"
}

(Illustrative values: the place ID, address, coordinates and rating in your dataset come straight from Google.)

• status: ok; noWebsite (you asked for enrichment but the place lists no website); enrichmentFailed (its website was unreachable or blocked, the Maps fields are still valid).
• contactsStatus and peopleStatus give the detail: ok, noContacts, noPeople, noTeamPage, noWebsite, socialOrDirectoryWebsite (the listed website is a Facebook, Instagram, Yelp or similar page, which is not crawled), unreachable, blockedByRobots, off or error.
• A per-search summary (pages read, new places, status, blocked when Google refused) is saved in the key-value store as SEARCH_SUMMARY.

Inferred emails (optional)

With includeDecisionMakers and inferEmails on, a person whose email the site does not publish may get a best guess in email, with emailInferred: true, the pattern (for example first.last), the evidence (up to 3 published addresses that fit the pattern) and a confidence (high with two or more consistent published examples, medium with one). The pattern is learned only from personal addresses the business itself publishes, so a site with no published personal address gets no guess. Only names that read as a real person get a guess. A published email is never replaced, and the guess is not verified with a mail server: some will bounce. There is no extra charge.

How much does it cost?

Pay per event, no start fee:

Event	Price	When it is charged
place	$0.0015	each business returned
website-contacts	$0.002	only for a place where at least one email or phone was found on its website
decision-maker	$0.002	each named person returned

Worked example: 60 marketing agencies in Denver with contacts and up to 3 decision makers each. On the test run, 50 of 60 websites gave an email or phone and 95 people were found: 60 x $0.0015 + 50 x $0.002 + 95 x $0.002 = $0.38. The same 60 places as a plain list (contacts and decision makers off) cost $0.09. Websites that are unreachable, and places with no team page, add no charge. For comparison, the largest Maps Actor lists $0.003 per place, $0.002 for contact details and $0.005 per lead on its public price list (checked 2026-10-15).

Platform usage is small: the test run above used about $0.009 of compute for 60 places with every option on.

Limits

• About 150 to 210 places per search. Google's results end there for one query. Search by city, neighbourhood or category to cover more.
• Unofficial source. Places come from the same public JSON that Google Maps itself loads; Google can change or throttle it. The Actor paces requests (one at a time, 0.5 s apart), backs off on a rate limit, switches to a fresh Apify Proxy session after two in a row and stops with a clear status if Google keeps refusing. It never solves captchas.
• Websites only. Contacts and people come from the business's own site. A business whose "website" is a Facebook page, or whose team page loads with JavaScript, returns no people. Typical rates are in the FAQ.
• No reviews, photos or popular-times. This Actor is for leads.
• Large runs with decision makers take minutes: websites are crawled politely, one request at a time per site.

FAQ

How many leads have an email? On a 60-place run of marketing agencies in Denver: 97% had a website, 93% a phone, 72% an email found on the website and 57% at least one named person. Dentists in Austin: 100% website and phone, 60 to 80% email. Your category and country will differ.

Does it return the owner's name? When the business's team, about or Impressum page names them, with the title the site gives. Small businesses often have no team page, so expect people on roughly half the places with a website.

Can I run many cities at once? Yes, add one search per city. Duplicates across searches are removed by placeId.

Does it work outside the US? Yes: set language and country and put the city in the search. Address field order follows what Google shows.

Why is a place marked enrichmentFailed? Its website did not answer, answered with an error, or blocks bots. The business and its Maps fields are still returned and billed as one place; no contact or person event is charged.

Use with Python

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("datagleaner/google-maps-leads").call(run_input={
    "searches": [{"query": "dentist", "location": "Austin, TX"}],
    "maxPlacesPerSearch": 50, "includeDecisionMakers": True})
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row["name"], row["phone"], row["bestEmail"], [p["name"] for p in row.get("people", [])])

Use with JavaScript / Node.js

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagleaner/google-maps-leads').call({
    searches: [{ query: 'dentist', location: 'Austin, TX' }],
    maxPlacesPerSearch: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const row of items) console.log(row.name, row.phone, row.bestEmail);

Use it from n8n, Make, Zapier or an AI agent

Actor ID: datagleaner/google-maps-leads

Minimal input:

{"searches": ["dentist in Austin, TX"], "maxPlacesPerSearch": 20}

Each tool below runs this Actor with your own Apify API token.

• n8n: add the Apify node (@apify/n8n-nodes-apify), choose Run an Actor and get dataset, set Actor to datagleaner/google-maps-leads and paste the input above.

• Make: use the Apify app's Run an Actor module, then Get Dataset Items.

• Zapier: use the Apify action Run Actor, then Fetch dataset items.

• AI agents (MCP): connect to https://mcp.apify.com/?tools=datagleaner/google-maps-leads. In Claude Code:

  claude mcp add --transport http apify "https://mcp.apify.com/?tools=datagleaner/google-maps-leads"
  

  Then ask in plain words, for example:

  Find 30 marketing agencies in Denver with their website email and the name of the owner or CEO.

Use over plain HTTP

curl -X POST "https://api.apify.com/v2/acts/datagleaner~google-maps-leads/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searches": ["dentist in Austin, TX"], "maxPlacesPerSearch": 10}'

Related Actors

• Website Contact Details Scraper: emails, phone numbers and social profiles from any list of websites, when you already have the sites.
• Team Page Contacts: named people, titles and LinkedIn from company domains, when you already have the domains.
• Company Enrichment by Domain: domain to company profile (name, logo, official social profiles, contacts, founding date).
• Tech Stack by Domain: which platforms and tools a website runs, to qualify the leads you found.

Responsible use

This Actor reads publicly available business listings and the public pages businesses publish about themselves. Names, titles, phone numbers and work emails are still personal data: you are responsible for complying with the law that applies to you, including GDPR, CCPA, telemarketing and anti-spam rules, and Google's terms for the data you collect, when you store the results or contact the people in them.