🗺️ Google Maps Scraper — Emails, Reviews, Rank Grid & Leads

Turn any Google Maps search into a clean dataset of local businesses — with verified emails & contacts, full reviews with the 1–5★ breakdown, website tech intelligence, a local rank grid, and up to 140+ fields per place. No login, no Google API key.

🔎 search / URL / place-id
          │
          ▼
  ┌──────────────────┐     ⚡ fast → cards (name, rating, address, phone, site…)
  │  GOOGLE MAPS      │ ──▶ 🔬 full → +description, hours, photos, price, booking…
  └──────────────────┘
          │  enrich (opt-in)
          ├─ 📧 emails + socials from the website
          ├─ 💬 reviews + ⭐ star distribution + topics
          ├─ 🧩 website tech stack + gaps
          ├─ 📍 local rank grid (city-wide visibility)
          └─ 🧬 rawPlace (every source field)
          ▼
  📦 one clean row per place  →  CSV · Excel · JSON · API

---

🎯 What you can do with it

• 🧲 Build B2B lead lists — businesses with emails, phones, socials + a ready-made lead score & outreach priority.
• 📈 Run local-SEO audits — the rank grid shows where a business ranks across a whole city, not one point.
• 💬 Analyze reviews & reputation — full text, 1–5★ distribution, review topics, owner-response rate, review velocity.
• 🧩 Profile competitors' websites — CMS, e-commerce, booking, analytics, ad pixels, chat, payments + the gaps.
• 🗺️ Research a market — every place in an area with categories, price level, editorial summary and geo data.

---

🚀 Your first run (30 seconds)

1. Open Input.
2. Type a search — dentists in Chicago — or paste Google Maps URLs / place IDs.
3. Pick ⚡ fast (discovery) or 🔬 full (every detail), flip on the extras you need.
4. Start → open Output and export CSV / Excel / JSON / API.

{ "queries": ["coffee shops in Austin"], "mode": "full", "maxCrawledPlacesPerSearch": 100 }

---

🎛️ Two modes

	⚡ fast	🔬 full
Speed	🚀🚀🚀	🚀
Core card (name, rating, address, phone, site, hours)	✅	✅
Description, price, photos, booking links, editorial summary	—	✅
Reviews + ⭐ distribution + topics	—	✅
Emails / socials / website tech	—	✅ (opt-in)
Best for	big discovery sweeps	lead-gen & deep analysis

---

🧰 Filters — so you collect only what you want

Filter	Keeps only places…
placeMinimumStars / placeMaximumStars	within a rating band
minReviewsCount / maxReviewsCount	within a reviews-count band
requireEmail	that have an email (lead-gen)
requirePhone	that have a phone
website	with / without a website
categoryFilterWords	matching a category word
skipClosedPlaces	that are open (drops permanently closed)
excludePlaceIds	not already in your list

Filters run before billing — filtered-out places are never charged. 💸

---

📦 Output — 7 ready-made views (+ All fields)

View	What's inside
🏢 Places	name, category, placeType, editorial summary, rating, reviews, address, phone, website, status, hours, rank
🧲 Leads	emails (+count), extra phones, FB / IG / LinkedIn / YouTube, contact score, lead score, outreach priority & reasons
🧩 Website	CMS, e-commerce, booking, analytics, ad pixels, chat, payments, full tech list + gaps
📍 Rank grid	keyword, avg / best / worst rank, top-3 & top-10 share, not-found share, visibility score, per-point map
⭐ Reputation	rating, 1–5★ distribution, review topics, reputation score, owner-response rate, 30/90-day velocity, review text
🗺️ Location	address, neighborhood, city, state, country, lat/lng, time zone, hours, accessibility, highlights
🧾 Booking	booking & table-reservation links, price level, images, review photos, local posts

Every row carries the full field set underneath each view.

---

🧬 Every source field (new)

Turn on includeRawPlace and each row gets rawPlace — the complete decoded Google Maps place array (200+ source slots), so even fields not yet mapped to clean columns are in your hands. New clean fields also added: editorialSummary ("Iconic Jewish deli for classic eats"), placeType (e.g. FOOD_AND_DRINK), reviewsUrl.

---

📋 Copy-paste examples

🟢 Lead list — barbershops in Berlin with an email

{
  "queries": ["barbershop"],
  "locationQuery": "Berlin, Germany",
  "mode": "full",
  "requireEmail": true,
  "maxCrawledPlacesPerSearch": 200,
  "countryCode": "DE"
}

🟡 Reviews & reputation — top restaurants in NYC

{
  "queries": ["restaurants in New York"],
  "mode": "full",
  "maxReviews": 100,
  "reviewsSort": "newest",
  "placeMinimumStars": 4,
  "minReviewsCount": 50
}

🔵 Local-SEO rank grid — city-wide visibility of one business

Each point = a rank check from that spot on the map
       •   •   •   •   •
       •   •   ③   •   •      ③ = ranks #3 here
       •   ①   ②   ④   •      ① best · not-found = invisible
       •   •   ②   •   •
       •   •   •   •   •      → avg/best/worst rank + visibility score

{
  "queries": ["https://maps.google.com/?cid=YOUR_PLACE"],
  "rankGrid": true,
  "rankGridKeyword": "coffee shop",
  "rankGridSize": 5,
  "rankGridRadiusKm": 3
}

🧬 Everything — full detail + every raw source field

{
  "queries": ["hardware store in Denver"],
  "mode": "full",
  "maxReviews": 50,
  "includeRawPlace": true
}

---

💰 Pricing

Pay per result — charged per place actually returned (from $0.40 / 1,000 on higher Apify plans, $1.00 on the free plan); rank-grid runs bill per grid point. No subscription, no charge for empty results or duplicates, filtered-out places are free.

---

🌍 Languages & countries

Set language and countryCode to localize results — prices, categories and reviews come back in the right locale. All Google Maps regions supported.

---

❓ FAQ

• Need a Google API key or login? No — request-first, no account.
• Can I get emails? Yes — requireEmail or just run full; emails & socials are scraped from each business website.
• What's the rank grid? A business's rank for a keyword measured from many points across a city → a visibility score + per-point map, the way local-SEO tools show it, without the subscription.
• Duplicates? Deduplicated — never charged twice for the same place.
• I want a field that isn't mapped. Turn on includeRawPlace to get every source slot in rawPlace.

Tags: google maps · maps scraper · leads · local seo · rank tracker · reviews · email scraper · business data