⭐ Google Maps Reviews Scraper

Scrape all reviews from any Google Maps listing — one dataset row per review, with reviewer details, star ratings, photos, and owner replies.

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✅ What You Get

Data	Details
👤 Reviewer	Name, profile URL, photo, review count, Local Guide status
✍️ Review	Full text, translated text, star rating, likes
📅 Date	Relative date ("a month ago") + parsed timestamp
📸 Photos	Image URLs attached to the review
💬 Owner Reply	Response text and date when present
🌐 Language	Original and translated language codes

Place details (name, address, phone) are saved separately in the Key-Value Store under OUTPUT_METADATA — not repeated on every row.

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🚀 Quick Start

You need at least one of these:

• A business name (search query)
• A Google Maps URL
• A Google Maps CID
• A Google Place ID

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⚙️ Input Options

🔍 Option 1 — Search by Business Name (most common)

{
  "searchQuery": "NETSOL Technologies Ltd.",
  "website": "https://www.netsoltech.com/",
  "maxReviews": 0,
  "language": "en",
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

💡 maxReviews: 0 means scrape all reviews. Add website to make sure the right listing is matched.

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🔗 Option 2 — Google Maps URL

{
  "url": "https://www.google.com/maps/place/NETSOL+Technologies/@31.5204,74.3587,17z",
  "maxReviews": 100
}

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🆔 Option 3 — CID or Place ID

{
  "cid": "15430805186958748717",
  "maxReviews": 50,
  "language": "en"
}

⚠️ Always keep CIDs in quotes — they can exceed JavaScript's safe integer range.

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🛠️ All Input Fields

Field	Type	Default	Description
searchQuery	string	—	Business name to search on Google Maps
website	string	—	Company website — helps match the correct listing
url	string	—	Direct Google Maps place URL
placeId	string	—	Google Place ID
cid	string	—	Google Maps CID
maxReviews	integer	0	Max reviews to collect (0 = all)
language	string	en	Review language code (e.g. en, es, fr, de)
maxReviewAge	string	—	Filter by age, e.g. 6 months, 1 year, 3 years
resumeDatasetId	string	—	Resume a previous run — skips already-scraped reviews
blockAssets	boolean	true	Block images/fonts to save bandwidth
proxyConfig	object	—	Apify proxy config — residential proxies recommended

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📦 Output Example

Each review is one row in the dataset:

{
  "name": "Daniyal Saqib",
  "stars": 4,
  "text": "Amazing ambience and hospitality. Truly a fine experience.",
  "publishedAtDate": "2026-04-21T15:35:49.034Z",
  "publishAt": "a month ago",
  "isLocalGuide": true,
  "reviewerNumberOfReviews": 143,
  "likesCount": 0,
  "responseFromOwnerText": null,
  "reviewImageUrls": ["https://lh3.googleusercontent.com/..."],
  "originalLanguage": "en",
  "scrapedAt": "2026-05-21T15:35:46.577Z"
}

📁 Place Summary (Key-Value Store)

The place details are saved once under OUTPUT_METADATA:

{
  "place": {
    "name": "NETSOL Technologies Ltd.",
    "overallRating": 4.4,
    "totalReviews": 1410,
    "address": "...",
    "phone": "...",
    "website": "https://www.netsoltech.com/"
  },
  "reviewsCount": 1408,
  "scrapedAt": "2026-05-21T15:35:46.577Z"
}

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❓ FAQ

How do I scrape all reviews? Set maxReviews to 0 (the default).

My search matched the wrong business — what do I do? Add the website field. The actor uses it to verify the correct listing was found.

Can I continue a previous run? Yes — paste the previous run's dataset ID into resumeDatasetId and already-scraped reviews will be skipped.

How do I filter by review age? Set maxReviewAge (e.g. 6 months) — works best combined with sortMode: "newest".

Which proxy should I use? Residential proxies are recommended for Apify Cloud runs to get complete, reliable results.

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