Google Maps Reviews Scraper

Extract place details, ratings, and customer reviews from any Google Maps location. Export clean, flat data to CSV, JSON, or Excel.

• Scrape place details: name, rating, address, coordinates, contact info, categories, and more
• Collect customer reviews: text, rating, reviewer profile, photos, business responses
• Bulk scrape via URLs, Place IDs, CIDs, or CID strings
• CSV-friendly flat output by default, no nested objects

How it works

1. Add places - Paste Google Maps URLs, enter Place IDs, CIDs, or CID strings
2. Configure - Choose scrape mode, review sorting, and filters
3. Run - Get structured data in your preferred format

Input

Places to scrape

Provide places using any combination of these methods:

Field	Description
Google Maps URLs	Paste one or more place URLs from your browser
Place IDs	Enter Google Maps Place IDs (e.g., ChIJLwiGVMKifDURzGJnUMCMSx8)
CIDs	Enter Google Maps decimal CIDs (e.g., 16813526255109441016)
CID strings	Enter Google Maps cid_str values (e.g., 0x357ca2eb421c44ad:0xe955a50c118085f8)

Options

Field	Default	Description
Scrape mode	Place + Reviews	What to collect: place details only, reviews only, or both
Review sort order	Newest first	How to sort reviews: newest, most relevant, highest/lowest rating
Max reviews per place	(all)	Limit the number of reviews per place
Reviews since date	(none)	Only collect reviews after this date (requires sort = Newest)
Language	English	Language for place details and review translations
Output format	Flat	Flat (CSV-friendly) or Nested (JSON objects)

Example input

{
  "scrapeMode": "all",
  "places": {
    "startUrls": [
      { "url": "https://www.google.com/maps/place/Gwanghwamun+Square/@37.5723718,126.9767087,17z/" }
    ],
    "cids": ["16813526255109441016"]
  },
  "sort": "newest",
  "maxReviews": 100,
  "language": "en"
}

Output

Flat format (default)

Each row is a self-contained record with all fields at the top level. Place fields use a place_ prefix. This format exports cleanly to CSV and Excel.

{
  "place_name": "Gwanghwamun Square",
  "place_rating": 4.6,
  "place_review_count": 12847,
  "place_address": "161 Sejong-daero, Jongno-gu, Seoul, South Korea",
  "place_lat": 37.5723718,
  "place_lng": 126.9767087,
  "place_cid": 16808063476328097272,
  "place_cid_str": "0xe955a50c118085f8",
  "place_place_id": "ChIJrUQcQutYezURGICADEylVek",
  "place_category": "Plaza",
  "place_categories": "Plaza | Tourist attraction",
  "place_website": "https://www.seoul.go.kr/",
  "place_phone": "+82-2-120",
  "review_id": "ChdDSUhNMG9nS0VJQ0...",
  "rating": 5,
  "text": "Beautiful open space in the heart of Seoul...",
  "published_at": "2025-03-15T09:30:00Z",
  "reviewer_name": "John D.",
  "reviewer_is_local_guide": true,
  "scraped_at": "2025-04-06T12:00:00Z"
}

Nested format

When output format is set to Nested (JSON), data is grouped under place and review objects:

{
  "input": { "url": "https://...", "language": "en" },
  "place": {
    "name": "Gwanghwamun Square",
    "rating": 4.6,
    "review_count": 12847,
    "address": "161 Sejong-daero, Jongno-gu, Seoul, South Korea",
    "lat": 37.5723718,
    "lng": 126.9767087
  },
  "review": {
    "review_id": "ChdDSUhNMG9nS0VJQ0...",
    "rating": 5,
    "text": "Beautiful open space...",
    "reviewer": { "name": "John D.", "is_local_guide": true }
  },
  "hasReviews": true,
  "scrapedAt": "2025-04-06T12:00:00Z"
}

Place fields

Field	Type	Description
place_name	string	Place name
place_lat / place_lng	float	Coordinates
place_cid	integer	Google CID (integer)
place_cid_str	string	CID in 0x hex format
place_place_id	string	Google Place ID
place_rating	float	Average rating
place_review_count	integer	Total review count
place_category	string	Primary category
place_categories	string	All categories (pipe-separated in flat mode)
place_address	string	Full address
place_street	string	Street address
place_city	string	City
place_state	string	State/Province
place_postal_code	string	Postal code
place_country_code	string	Country code
place_website	string	Website URL
place_phone	string	Phone number
place_timezone	string	Timezone
place_thumbnail	string	Thumbnail image URL
place_business_status	string	Business status

Review fields

Field	Type	Description
review_id	string	Review unique ID
rating	float	Review rating
text	string	Review text (original)
text_translated	string	Translated review text
published_at	string	Publication date (ISO 8601)
modified_at	string	Last modified date
time_display	string	Relative time (e.g., "3 months ago")
language_code	string	Original language code
likes	integer	Number of likes
review_url	string	Direct review URL
reviewer_name	string	Reviewer name
reviewer_profile_url	string	Reviewer profile URL
reviewer_total_reviews	integer	Reviewer's total reviews
reviewer_is_local_guide	boolean	Local Guide status
platform_name	string	Review platform name
media	string	Attached media (JSON array in flat mode)
business_response_text	string	Business owner's response

Tips

How to find a Google Maps URL

1. Open Google Maps
2. Search for a place and click on it
3. Copy the URL from your browser's address bar

How to find a Place ID

Look for the 1s parameter in a Google Maps URL:

https://www.google.com/maps/place/...data=...!1sChIJLwiGVMKifDURzGJnUMCMSx8...

The value after !1s is the Place ID: ChIJLwiGVMKifDURzGJnUMCMSx8

How to find a CID or cid_str

Look for these values in a Google Maps URL or in a previously scraped dataset row:

• cid: decimal identifier such as 16813526255109441016
• cid_str: hex pair such as 0x357ca2eb421c44ad:0xe955a50c118085f8

Reviews since date

The "Reviews since date" filter only works when review sort order is set to Newest first. This is because the scraper stops paginating when it reaches reviews older than the specified date, which only works correctly in chronological order.

Actor address

stable_crawl/google-maps-reviews

Local development

$apify run --input-file test-input.json

Results are saved to storage/. Deploy to the Apify platform for cloud runs and dataset export.