🗺️ Google Maps Scraper

Bulk-extract business & place data from Google Maps for an entire city — thousands of results per run, not the ~120 Google shows you on screen.

Point this actor at a city and a list of search terms (restaurant, dentist, gym, plumber…) and it returns a clean, structured record for every matching place: name, category, average rating, review count, phone, website, full address, exact coordinates, Google Place ID, a photo, and the top reviews for each place. It's fast, reliable, and built to run at scale — one run gives you one clean, structured dataset.

Unlike a normal Google Maps search, which caps out at roughly 120 results for any single area no matter how far you scroll, this actor covers the whole city. That means you can pull thousands of unique places for a single city in one run, then export them to Excel, JSON, or feed them straight into your CRM. Results are kept within the city's real boundary, so you don't get places bleeding in from neighbouring towns.

Built for growth teams, agencies, analysts, and founders who need real, current local-business data at volume.

---

🎯 Use cases

• Lead generation — Build targeted prospect lists of local businesses (restaurants, gyms, dentists, contractors…) complete with phone numbers, websites, and addresses, ready for sales outreach and cold calling.
• Competitor & market mapping — Pull every competitor in a category across a metro area, with ratings, review counts, and price tiers, to see who's winning and where the gaps are.
• Local SEO & directories — Populate niche directories, citation databases, or "best of" listicles with accurate name-address-phone data and Google Place IDs.
• Multi-city market research — Run the same search terms across many cities to size markets, compare density and quality, and benchmark saturation before you expand.
• Sentiment sampling — Grab the top reviews per place to get a fast read on what customers love and complain about across a whole category.

---

📦 What data you get

One structured record per place, grouped here for clarity:

🏷️ Identity

• title — business / place name
• categoryName — primary category (e.g. "Italian restaurant")
• categories — all categories, as an array
• description — short place description (when available)
• placeId — Google Place ID (ChI…)
• fid / cid — Google's stable internal place identifiers

📞 Contact

• phone — display-formatted phone number
• phoneUnformatted — clean E.164-style digits (e.g. +14165550132)
• website — the business's website URL

📍 Location

• street, city, state, postalCode — parsed address parts
• address — full formatted address
• latitude, longitude — exact coordinates
• url — direct Google Maps link to the place

⭐ Ratings & reviews

• totalScore — average star rating
• reviewsCount — total number of reviews on Google
• price — price level (e.g. $$) when available
• reviews — an array of the top / most-relevant reviews for the place (reviewer, rating, date, text)

🖼️ Media

• imageUrl — a representative photo of the place

🧭 Run context

• searchTerm — which of your search terms surfaced this place
• location — the city you searched
• scrapedAt — ISO timestamp of the run

---

⚙️ Input

Field	Type	Default	Description
location	string	"Toronto, Ontario"	Required. The city to cover — e.g. "Toronto, Ontario", "Austin, TX". Resolved to the city automatically for full coverage.
searchTerms	array of strings	["restaurant"]	Required. What to look for — e.g. ["restaurant", "cafe", "gas station"]. The actor runs one full pass per term.
maxPlaces	integer	(empty = all)	Cap the total number of unique places returned. Leave empty to get everything found in the city.
proxyConfiguration	proxy	{ "useApifyProxy": true }	Proxy settings. Apify Proxy is recommended and enabled by default for reliable access to Google.

Minimal example input:

{
  "location": "Toronto, Ontario",
  "searchTerms": ["restaurant", "cafe"],
  "maxPlaces": 1000,
  "proxyConfiguration": { "useApifyProxy": true }
}

---

📤 Output

Each result is one place object. Results stream into your dataset as they're found, so you can watch them arrive live and export at any point — as JSON, CSV, Excel, or XML — from the Apify Console or via the API.

{
  "title": "Terroni Adelaide",
  "totalScore": 4.4,
  "reviewsCount": 3187,
  "categoryName": "Italian restaurant",
  "categories": ["Italian restaurant", "Pizza restaurant", "Wine bar"],
  "price": "$$",
  "phone": "(416) 203-3093",
  "phoneUnformatted": "+14162033093",
  "website": "https://www.terroni.com/",
  "street": "57 Adelaide St E",
  "city": "Toronto",
  "state": "ON",
  "postalCode": "M5C 1K6",
  "address": "57 Adelaide St E, Toronto, ON M5C 1K6, Canada",
  "latitude": 43.6497021,
  "longitude": -79.3766142,
  "fid": "0x89d4cb2f9a1b2c3d:0x4e5f6a7b8c9d0e1f",
  "cid": "5647382910564738291",
  "placeId": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "description": "Classic Southern Italian dishes served in a lively, high-ceilinged room.",
  "imageUrl": "https://lh3.googleusercontent.com/places/terroni-adelaide-photo.jpg",
  "url": "https://www.google.com/maps/search/?api=1&query=Terroni%20Adelaide&query_place_id=ChIJN1t_tDeuEmsRUsoyG83frY4",
  "searchTerm": "restaurant",
  "location": "Toronto, Ontario",
  "scrapedAt": "2026-07-08T14:22:07.913Z",
  "reviews": [
    {
      "reviewer": "Jordan M.",
      "rating": 5,
      "date": "2026-05-30",
      "text": "Best Southern Italian in the city. The spaghettini al limone is unreal and the room has amazing energy."
    },
    {
      "reviewer": "Priya S.",
      "rating": 4,
      "date": "2026-04-11",
      "text": "Great pizza and wine list. Gets loud and busy on weekends, so book ahead."
    }
  ]
}

Field reference:

Field	Type	Description
title	string	Business / place name
totalScore	number	Average star rating
reviewsCount	integer	Total number of reviews on Google
categoryName	string	Primary category
categories	array	All categories assigned to the place
price	string	Price level (e.g. $$), when available
phone	string	Display-formatted phone number
phoneUnformatted	string	Phone number as clean digits (E.164 style)
website	string	Business website URL
street	string	Street portion of the address
city	string	City
state	string	State / province code
postalCode	string	Postal / ZIP code
address	string	Full formatted address
latitude	number	Latitude coordinate
longitude	number	Longitude coordinate
fid	string	Google internal feature ID
cid	string	Google customer ID (numeric)
placeId	string	Google Place ID (ChI…)
description	string	Short place description, when available
imageUrl	string	URL of a representative photo
url	string	Direct Google Maps link to the place
searchTerm	string	The search term that surfaced this place
location	string	The city that was searched
scrapedAt	string	ISO 8601 timestamp of the run
reviews	array	Top reviews for the place — each with reviewer, rating, date, text

---

🔧 Why you get more than 120 results

A normal Google Maps search only ever hands back about 120 results for one location, no matter how many businesses are actually there. This actor covers the entire city and merges everything into one clean dataset — so a single run surfaces thousands of unique places instead of a capped handful.

Results are kept inside the city's real boundary, so you don't get places bleeding in from neighbouring cities like Mississauga or Vaughan, and every business appears once — cleanly de-duplicated — even if it would otherwise show up more than once.

---

❓ FAQ

How many places can I get per city? Far more than a standard Google Maps search. Because the actor covers the whole city rather than a single on-screen view, one run routinely returns thousands of unique places for a busy category in a large city. Use maxPlaces if you want to cap the total.

Does it get reviews? Yes — it attaches the top / most-relevant reviews for each place (typically around 8–9), each with the reviewer name, star rating, date, and text. This is the highlighted-review set, not a place's entire review history — if you need every review for specific places, use the companion Google Maps Reviews Scraper, which is purpose-built to pull a place's complete review history.

Can I scrape multiple search terms and multiple cities? Multiple search terms, yes — pass several in searchTerms and the actor runs one full pass per term in a single run, tagging every result with the searchTerm that surfaced it. For multiple cities, run the actor once per city (each run takes one location); this keeps each city's results cleanly filtered to its own boundary. You can schedule or batch these runs on Apify, and since the output format is identical, results merge cleanly.

What export formats are supported? All of Apify's standard formats — you can download or access your results as JSON, CSV, Excel, or XML, from the Apify Console or programmatically via the Apify API and dataset endpoints.

Do I need a proxy? Apify Proxy is recommended and enabled by default for dependable access to Google. You can adjust it in the proxyConfiguration field.