⭐ MapLead Reviews - Google Maps Reviews & Ratings Scraper

Extract detailed customer reviews, star ratings, reviewer profiles, owner responses, and cleaned review text from Google Maps places.

Accurate, high-performance Google Maps reviews scraper equipped with intelligent DOM artifact removal, star rating filters, sentiment tagging, and Local Guide detection.

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🌟 Key Features

• ⭐ Star Ratings & Sentiment Tagging: Scrapes 1-5 star ratings and automatically tags reviews (POSITIVE, NEUTRAL, NEGATIVE).
• 🧼 Intelligent Review Text Cleaner: Automatically removes trailing 'Like', 'Like1', 'Share', 'More' DOM artifacts left by browser renderers.
• 💬 Owner Response Extraction: Captures official replies and responses from business managers/owners.
• 🏅 Local Guide Badge Detection: Identifies whether the review was posted by a verified Google Local Guide.
• 📶 Dynamic Sorting & Filtering: Sort by Newest First, Highest Rating, Lowest Rating, or Most Relevant, and filter by star ratings (e.g. 5-star only, 1-star only, negative only).
• 💰 Pay-Per-Event (PPE) Pricing: Pay only $0.002 per review and $0.002 per run start.
• ⚡ Built-in Proxy Support: Pre-configured with Apify Proxy for seamless, uninterrupted extraction.

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📥 Input Parameters

Parameter	Type	Default	Description
searchStrings	Array of Strings	["restaurants in Miami"]	Search queries or locations to find places on Google Maps.
startUrls	Array of Objects	[]	Direct Google Maps place or search URLs.
placeIds	Array of Strings	[]	Specific Google Place IDs or 0x... hex IDs.
maxReviews	Integer	5	Maximum total reviews to harvest across the entire run.
maxReviewsPerPlace	Integer	5	Maximum reviews to extract per place listing.
reviewsSort	String (Select)	newest	Sort order: newest, highest_rating, lowest_rating, most_relevant.
starFilter	String (Select)	ALL	Star filter: ALL, FIVE_STAR, ONE_STAR, POSITIVE_ONLY, NEGATIVE_ONLY.
cleanReviewText	Boolean	true	Clean trailing 'Like', 'Share', 'More' button artifacts from review body.
proxyConfiguration	Object	{ "useApifyProxy": true }	Apify Proxy configuration for anti-blocking.

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📤 Output Format

Each extracted review is pushed directly to the default dataset:

{
  "reviewId": "rev_0x89c25990263f338d:0x87d468eb37f7d750_1",
  "placeTitle": "Joe's Pizza NYC",
  "placeId": "0x89c25990263f338d:0x87d468eb37f7d750",
  "authorName": "David Miller",
  "reviewerDetails": "David Miller · Local Guide · 48 reviews",
  "isLocalGuide": true,
  "stars": 5.0,
  "sentiment": "POSITIVE",
  "text": "Best slice in the city! Crust is perfectly crisp and the tomato sauce has incredible balance.",
  "originalText": "Best slice in the city! Crust is perfectly crisp and the tomato sauce has incredible balance. Like",
  "publishedAtRelative": "2 weeks ago",
  "publishedAtDate": "2026-09-07",
  "ownerResponse": "Thank you so much David! We look forward to seeing you again soon.",
  "likesCount": 0,
  "scrapedAt": "2026-09-07T10:30:00.000Z"
}

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💡 Common Use Cases

• Brand Reputation & Review Monitoring: Track customer feedback and monitor satisfaction across all business branches.
• Competitor Intelligence: Extract competitor reviews to identify recurring customer complaints, pricing feedback, and service gaps.
• NLP & Sentiment Analysis: Fine-tune custom AI models and sentiment classification pipelines on real customer reviews.
• Lead Generation & CRM Enrichment: Identify influential reviewers and Local Guides for outreach campaigns.

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🚀 Exporting Data

Easily export your data from the Apify Console or API in multiple formats:

• JSON
• CSV
• Excel (XLSX)
• XML
• HTML Table