Google Maps Reviews Scraper 🗺️

Export every Google Maps review from any place, business, or landmark — as clean JSON, CSV, or Excel. No login, no setup, no code. Paste a Maps link and get structured review data in seconds: star ratings, full review text, author details, photos, owner replies, dates, and more.

Built for marketers, agencies, developers, and AI agents that need reliable Google review data at any scale — one place or ten thousand.

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Why choose this Google Maps Reviews Scraper

• 💸 Cheapest on the market. Pay only for the reviews you keep. No monthly fees, no surprises.
• 🎯 The most complete review record. 25+ fields per review — far more than the typical scraper returns.
• ⚡ Fast at any scale. A single place returns in seconds; large multi-place jobs pull thousands of reviews in just a few minutes.
• 🌍 Works worldwide. Any country, any language. Reviews come back in their original language with translated text included when Google provides it.
• 🔗 Flexible input. Full Maps URLs, share links, or place IDs — mix and match, duplicates are handled automatically.
• 🧩 Sort your way. Most relevant, newest, highest rating, or lowest rating.
• 🤖 Automation-ready. Clean API, MCP support, webhooks, and one-click integrations for AI agents and no-code tools.
• ✅ No login required. Only public review data. Nothing to configure, no accounts to connect.

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What you can do with Google reviews data

• Reputation monitoring — track new reviews for your business or your clients and get alerted to negatives fast.
• Competitor analysis — pull reviews for rival locations and benchmark ratings, sentiment, and themes.
• Lead generation — find businesses by rating and review volume for outreach lists.
• Sentiment & AI analysis — feed thousands of reviews into an LLM, RAG pipeline, or dashboard to surface trends.
• Market research — analyze what customers love and hate across an entire category or city.
• Local SEO — audit review counts, ratings, and response rates across many locations at once.
• Review widgets — power testimonial carousels and star-rating badges on your website.
• Training data — build sentiment, classification, or recommendation datasets from real-world reviews.

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How to scrape Google Maps reviews (3 steps)

1. Paste a place link. Copy any Google Maps place URL (or a share link, or a place ID) into the input.
2. Set your options. Choose how many reviews per place and how to sort them.
3. Run and export. Download the results as JSON, CSV, or Excel — or pull them straight into your app via API, MCP, or webhook.

That's it. No proxies to configure, no cookies to paste, no browser extensions.

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Free trial & limits

Try it free: the free tier returns up to 10 reviews per run so you can test the output and integration before committing. Rent the Actor to unlock unlimited reviews and scrape thousands of places at full speed. The moment a limit is reached the run stops cleanly — you're never charged for data beyond your cap.

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Input

Field	Type	Description
Place URLs	array	One or more Google Maps place links. Full URLs, share links (maps.app.goo.gl), or place pages — all supported.
Place IDs	array	Google Maps place IDs, if you already have them, instead of full URLs.
Max Reviews Per Place	integer	How many reviews to pull from each place. Default 100. Set higher for deep history.
Sort By	select	mostRelevant, newest, highestRanking, or lowestRanking. Default mostRelevant.

You can pass a single place or thousands in one run — the scraper behaves the same either way.

Example input

{
  "placeUrls": [
    "https://www.google.com/maps/place/Eiffel+Tower/@48.8583701,2.2944813,17z",
    "https://www.google.com/maps/place/Colosseum"
  ],
  "maxReviews": 500,
  "sortBy": "newest"
}

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Output

Every review is returned as a clean, structured record. Export to JSON, CSV, or Excel, or stream directly via the API.

Example output

{
  "place": {
    "name": "Eiffel Tower",
    "placeId": "0x47e66e2964e34e2d:0x8ddca9ee380ef7e0"
  },
  "reviewId": "ChdDSUhNMG9nS0VJQ0FnSUN...",
  "url": "https://www.google.com/maps/reviews/...",
  "publishedAt": "2026-07-01T14:22:10Z",
  "lastEditedAt": null,
  "relativeDate": "2 weeks ago",
  "text": "Absolutely breathtaking, especially at night when the lights sparkle.",
  "textTranslated": null,
  "language": "en",
  "originalLanguage": "en",
  "translatedLanguage": null,
  "rating": 5,
  "reviewOrigin": "Google",
  "author": {
    "name": "Jane D.",
    "id": "1129384756...",
    "url": "https://www.google.com/maps/contrib/1129384756",
    "avatarUrl": "https://lh3.googleusercontent.com/a-/...",
    "profileUrl": "https://www.google.com/maps/contrib/1129384756/reviews?hl=en",
    "reviewCount": 214,
    "photoCount": 1032,
    "isLocalGuide": true,
    "localGuideLevel": 7,
    "contributionCount": 5400,
    "badgeLabel": "Local Guide"
  },
  "photos": [
    "https://lh5.googleusercontent.com/p/..."
  ],
  "attributes": null,
  "likesCount": 12,
  "ownerReply": "Thank you for visiting, Jane!",
  "scrapedAt": "2026-07-20T09:15:33Z"
}

Fields you get

• Place — name and place ID
• Review — ID, direct link, rating (1–5), full text, likes count, owner reply
• Dates — published, last edited, and human-friendly relative date
• Language — original language, translated text and language when available
• Author — name, profile URL, avatar, total review count, photo count, Local Guide status and level, badge
• Photos — full-resolution image URLs attached to the review
• Attributes — structured tags (e.g. service, atmosphere) when present
• Metadata — review origin and the timestamp it was scraped

Missing values come back as sensible defaults (0, "", [], null) — never broken records — so your downstream code and spreadsheets stay clean.

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API, MCP & integrations 🤖

This scraper is built to plug into anything.

• REST API — start runs, poll status, and fetch the dataset from your own backend in any language.
• MCP (Model Context Protocol) — connect it as an MCP server so AI agents and assistants like Claude and ChatGPT can pull Google reviews as a live tool.
• AI & LLM workflows — drop review data straight into LangChain, LlamaIndex, RAG pipelines, and vector databases for sentiment analysis, summarization, and Q&A.
• No-code automation — trigger runs and route results with Make, Zapier, and n8n.
• Webhooks — get notified the instant a run finishes and push data anywhere automatically.
• Scheduling — run daily, hourly, or weekly to keep a fresh feed of new reviews.
• Export formats — JSON, CSV, Excel, HTML table, or RSS.

Whether you're building an AI review-analysis agent, a reputation dashboard, or a nightly data sync, the integration is a few clicks.

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Frequently asked questions

Do I need a Google account or API key? No. There's no login and nothing to connect. Just paste a place link and run.

What links can I use? Full Google Maps place URLs, short share links (maps.app.goo.gl/…), and Google place IDs. You can mix them in one run.

How many reviews can I get per place? As many as you like — set the max per place. Popular places have thousands of reviews and the scraper paginates through them for you.

Can I scrape many places at once? Yes. Pass one place or thousands in a single run. Duplicate links are automatically deduplicated.

Does it work for non-English reviews? Yes. Reviews are returned in their original language, with Google's translated text included when available.

Can I sort reviews by newest or by rating? Yes — most relevant, newest, highest rating, or lowest rating.

What export formats are supported? JSON, CSV, Excel, HTML table, and RSS — plus direct access through the API and MCP.

Is the data reliable at scale? Yes. The same engine powers a single-place lookup and a ten-thousand-review job, with automatic retries and deduplication so runs finish cleanly.

What can I use the data for? Reputation monitoring, competitor and sentiment analysis, local SEO, lead generation, market research, review widgets, and AI training datasets.

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Who uses this Google Maps review scraper

• Agencies & SEO teams managing local reputation for many clients and locations.
• Restaurants, hotels, retail, and local businesses tracking their own customer feedback.
• Data & analytics teams building sentiment dashboards and market-research reports.
• Developers adding review data to apps, widgets, and internal tools via the API.
• AI builders powering review-analysis agents, chatbots, and RAG systems over Google reviews.
• Sales & lead-gen teams sourcing businesses by rating and review volume.

If you searched for a Google Maps review scraper, Google reviews extractor, Google business reviews API, place reviews downloader, or a way to export Google Maps reviews to Excel — this is it.

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Legal & fair use

This scraper collects only publicly available review data that anyone can see on Google Maps without logging in. It does not access private data or bypass any login. You are responsible for using the data in line with Google's terms and applicable laws (including privacy regulations such as GDPR and CCPA) in your jurisdiction. Use it responsibly.

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Get started

Paste a Google Maps place link, hit Start, and export your reviews in seconds. Reputation tracking, competitor research, and AI-powered review analysis — all from one simple, affordable scraper.