Google Maps Business Lead Extractor

Pull bulk local business leads from Google Maps by keyword + location. Returns name, address, phone, website, email, opening hours, photos count, rating, review count, plus an AI-style lead score and quality signals for every listing.

Built for sales teams, lead-gen agencies, local marketers, and SMB consultants who need territory-based prospect lists without paying per-seat for legacy data tools.

Why this actor

• Real business contacts — extracts emails from each business's homepage in addition to phone numbers from Google Maps.
• Lead scoring built in — every record ships with a 0–100 lead score and qualitative signals (high-rating, email-contactable, weak-digital-presence, etc.) so you can filter immediately.
• Deduplicated — listings are deduplicated by Google's internal place id, so overlapping searches don't double-charge.
• Geo targeting — anchor the map at a specific lat/lng with radiusKm to scope results to a territory.
• Predictable pricing — pay only per result delivered.

Input

Field	Type	Required	Default	Description
keyword	string	yes	—	Business type, e.g. "plumber", "law firm", "coffee shop"
location	string	yes	—	City / region / ZIP, e.g. "Austin, TX", "94110"
maxResults	integer	no	25	Max business listings to return (1–500)
radiusKm	integer	no	—	Optional radius (km); needs centerLat + centerLng to take effect
centerLat	number	no	—	Optional viewport center latitude (used with radiusKm)
centerLng	number	no	—	Optional viewport center longitude (used with radiusKm)
scrapeEmail	boolean	no	true	If true, visit each business website and extract an email address

Example input

{
  "keyword": "plumber",
  "location": "Austin, TX",
  "maxResults": 50
}

Output

Each item in the dataset:

{
  "placeId": "0x865b39e11ea35387:0xf58d36a1244154f1",
  "name": "Reliant Plumbing",
  "category": "Plumber",
  "address": "3841 Ranch Rd 620 S, Austin, TX 78738",
  "phone": "(512) 222-6029",
  "website": "https://reliantplumbing.com/",
  "email": "office@reliantplumbing.com",
  "rating": 4.7,
  "reviewsCount": 2897,
  "photosCount": 124,
  "openingHours": {
    "Monday": "Open 24 hours",
    "Tuesday": "Open 24 hours",
    "Wednesday": "Open 24 hours",
    "Thursday": "Open 24 hours",
    "Friday": "Open 24 hours",
    "Saturday": "Open 24 hours",
    "Sunday": "Open 24 hours"
  },
  "lat": 30.3152328,
  "lng": -97.9479641,
  "plusCode": "8GG6+H5 Austin, TX",
  "googleMapsUrl": "https://www.google.com/maps/place/Reliant+Plumbing/...",
  "searchKeyword": "plumber",
  "searchLocation": "Austin, TX",
  "categoryTags": ["Plumber", "home-services"],
  "qualitySignals": [
    "high-rating",
    "established-volume",
    "has-website",
    "email-contactable",
    "phone-contactable",
    "photo-rich",
    "full-hours-listed"
  ],
  "leadScore": 85,
  "scrapedAt": "2026-05-15T22:58:51.521Z"
}

All data is also exported as CSV / Excel / RSS from the Apify dataset UI — no extra config needed.

Lead score and quality signals

Each record carries a leadScore between 0 and 100, computed from:

• Rating tiers (high-rating at ≥ 4.5, low-rating below 3.5)
• Review volume (established-volume, moderate-volume, emerging)
• Contact channels (has-website, email-contactable, phone-contactable)
• Listing completeness (photo-rich, full-hours-listed)
• Negative signals (weak-digital-presence, social-only-presence)

Filter the dataset on leadScore and qualitySignals to triage prospect lists before exporting.

Pricing

Pay-per-result. The Apify Store listing controls the per-record price; you're only charged for records actually delivered to the dataset.

Volume	Approximate cost
25	~$0.25
100	~$1.00
500	~$5.00

How it works

1. Builds the Google Maps search URL for ${keyword} in ${location}, or anchors the map at centerLat,centerLng with a zoom level approximating radiusKm.
2. Scrolls the result feed in headless Chromium (Playwright) until maxResults unique place URLs are collected (dedup by place id).
3. Opens each place page, extracts structured fields (name, address, phone, website, hours, photos, lat/lng, rating, review count).
4. If scrapeEmail is enabled, opens each business website and pulls the first valid mailto: / text email, filtering image-filename false positives and known placeholders.
5. Enriches each record with categoryTags, qualitySignals, and a 0–100 leadScore.
6. Pushes one row per business to the default Apify dataset.

Runs on apify/actor-node-playwright-chrome:20.

Use cases

• Sales reps building territory call lists with phone + email per business
• Lead-gen agencies filling client CRMs with verified local businesses
• SMB consultants scoping market opportunities in a new city or category
• Franchise / expansion teams mapping competition by ZIP or radius
• Local SEO auditors snapshotting Google Maps presence for a category

Notes

• Best-effort email scraping. Emails are only extracted when present on the business homepage; some businesses use contact forms only.
• For very large geographic areas, prefer running multiple smaller radiusKm searches anchored at different centerLat,centerLng points and dedupe across runs (already deduped within a single run).
• Respect Google's terms of service. This actor performs the same fetches a manual user would perform.