Best Google Review Scrapers in 2026: Export Google Maps & Business Reviews

Quick Answer: The best Google review scraper depends on your volume and workflow. Comment Exporter provides one-click Google Maps exports alongside 10 other review and discussion platforms. Outscraper is a strong dedicated Google Maps scraper with pay-per-result pricing (~$2/1,000 reviews), while SerpApi and Apify are developer-friendly alternatives. We compare features, pricing, and use cases for 6 tools below.

Why Scrape Google Reviews

Google Maps hosts billions of reviews across millions of businesses worldwide. That review data is one of the most valuable -- and most underused -- sources of customer intelligence available today. Three distinct use cases drive demand for Google Maps review scrapers:

• ✓Reputation monitoring: Businesses track their own Google reviews to catch negative feedback early, identify service patterns, and measure customer satisfaction over time. A structured CSV of your last 2,000 reviews reveals trends that are invisible when reading reviews one at a time on your Google Business Profile. Agencies managing multiple client locations need this data in bulk -- manually checking each listing is not scalable. A dedicated review monitoring tool turns raw review data into actionable alerts.
• ✓Local SEO research: Google reviews directly influence local search rankings. SEO professionals analyze competitor review volumes, average ratings, review velocity (how fast new reviews accumulate), and keyword frequency in review text. This data informs local SEO strategy -- which keywords customers naturally use, what competitors are doing well, and where gaps exist. Exporting reviews to CSV lets you run keyword analysis, sentiment scoring, and trend comparisons across dozens of competing businesses.
• ✓Competitor analysis: Product managers, franchise operators, and market researchers scrape competitor Google reviews to benchmark their own performance. Which complaints are industry-wide? Which competitor strengths are worth replicating? Competitor analysis using reviews turns qualitative customer feedback into quantitative data -- but only if you can get the reviews out of Google and into a spreadsheet or analysis tool.

The challenge is straightforward: Google does not offer a public API for downloading review data. The official Google Places API provides limited review access (only the 5 most recent reviews per business). For anything beyond that, you need a third-party Google review scraper -- whether that is an API-based extraction service, a cloud scraping platform, or a browser automation tool.

This guide compares 6 tools across those categories. We also address the elephant in the room: Google reviews are just one piece of the puzzle. Most businesses and researchers also need reviews from Amazon, Yelp, and discussion platforms like Reddit and YouTube. We will show you the most efficient way to cover all of those sources without subscribing to six different tools.

Quick Comparison Table

Here is every tool at a glance -- type, pricing model, and key differentiator:

Tool Reviews

Below, we break down each tool in detail -- what it does well, where it falls short, exact pricing, and who should use it.

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1. Outscraper

What it is: A cloud-based scraping platform built specifically for Google data extraction. Outscraper offers dedicated scrapers for Google Maps reviews, Google Maps businesses, Google Search results, and more. You can use it through a web dashboard, API, or Google Sheets add-on -- no coding required for basic workflows.

Outscraper is the most focused Google Maps review scraper on this list. You input a business name, place ID, or Google Maps URL, set your parameters (number of reviews, language filter, date range), and Outscraper delivers structured data in CSV, XLSX, or JSON. For agencies and businesses that need Google review data specifically, it is the most direct path from "I need these reviews" to "here is the spreadsheet."

What You Get from a Google Review Export:

• ✓Star rating (1-5)
• ✓Full review text
• ✓Reviewer name and profile link
• ✓Review date (absolute and relative)
• ✓Owner/business response text
• ✓Review URL and place ID
• ✓Reviewer's total review count and photo count
• ✓Local Guide status
• ✓Review language

Strengths:

• ✓Google-focused architecture: Purpose-built for Google Maps data. The extraction is optimized for Google's review structure, so you get fields like owner responses, Local Guide status, and reviewer contribution counts that general-purpose scrapers often miss.
• ✓Pay-per-result pricing: ~$2 per 1,000 reviews with a free tier of 1,000 reviews. No monthly subscription required -- you pay only for what you extract. This makes it cost-effective for both one-off research and ongoing monitoring.
• ✓Bulk extraction: Submit lists of hundreds of businesses and extract reviews for all of them in a single batch job. Agencies monitoring 50+ client locations can automate the entire process.
• ✓Multiple access methods: Web dashboard for non-technical users, REST API for developers, and a Google Sheets add-on for teams that live in spreadsheets.
• ✓No proxy management: Outscraper handles all proxy rotation, CAPTCHA solving, and rate limiting internally. You do not need to manage infrastructure.

Limitations:

• ✓Google-centric -- if you also need Amazon or Reddit reviews, you will need a separate tool (see Outscraper alternatives)
• ✓Not a real-time browser extension -- results are delivered asynchronously, so there is a short wait for large jobs
• ✓Advanced filtering (date ranges, minimum rating) requires API usage or dashboard configuration
• ✓Per-result pricing can become expensive at very high volumes (100,000+ reviews/month)

Pricing:

• ✓Free: 1,000 Google Maps reviews
• ✓Pay-as-you-go: ~$2 per 1,000 reviews (volume discounts available)
• ✓Subscription plans: Available for predictable monthly volumes

Best for:

Agencies managing client reputations across multiple Google Business locations, local SEO professionals analyzing competitor review profiles, and businesses that need structured Google review data on a regular basis. If Google Maps reviews are your primary data source, Outscraper is the most efficient and cost-effective option. For a deeper look at how it compares, see our Outscraper alternative comparison.

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2. Comment Exporter (Multi-Platform One-Click Exporter)

What it is: Comment Exporter is a Chrome extension that exports reviews and comments from 11 platforms: Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. Navigate to a supported page, click the extension, and your CSV or JSON file downloads instantly.

Important transparency note: Comment Exporter supports Google Maps reviews alongside 10 other platforms in a single Chrome extension. Google Maps access requires the All Access plan; Reddit scraping remains free.

The honest recommendation: use Comment Exporter for one-click browser exports across Google Maps and the other supported platforms. Use a dedicated Google review scraper like Outscraper when you need API access, automation, or large cloud-based batches.

What It Covers:

• ✓Amazon reviews across 20+ domains (US, UK, DE, JP, FR, IT, ES, CA, and more)
• ✓YouTube comments -- useful for analyzing video reviews and brand mentions
• ✓Reddit discussions -- free, unlimited export of any thread
• ✓Google Maps reviews -- business reviews and ratings
• ✓Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Shopify -- additional review and discussion platforms

Strengths:

• ✓11 platforms in one extension: No switching between tools. One subscription covers Amazon, YouTube, Reddit, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify.
• ✓One-click workflow: No API keys, no configuration, no URL pasting. Open the page, click the button, get the file.
• ✓Local processing: All data extraction happens in your browser. Nothing is sent to external servers.
• ✓Flat pricing: $49.99/month or $299/year for All Access. No per-export fees, no credit systems.
• ✓Free Reddit tier: Unlimited Reddit comment export at no cost -- test the workflow before committing.

Limitations:

• ✓Google Maps requires All Access -- the free tier covers Reddit only
• ✓No scheduled or automated exports -- manual triggering only
• ✓Chrome-only (no Firefox or Safari support)
• ✓No API access for programmatic workflows

Pricing:

• ✓Free: Unlimited Reddit comment export
• ✓All Access: $49.99/month or $299/year -- all 11 platforms, unlimited exports

Best for:

Researchers, brand managers, and marketers who need one-click review data from Google Maps, Amazon, YouTube, Reddit, and more. Visit redditcommentscraper.com to learn more, or check our best comment exporters roundup for broader comparisons.

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3. Bright Data

What it is: Bright Data is an enterprise-grade data collection platform that offers pre-built Google Maps datasets, a web scraping IDE, and the world's largest proxy network. For Google reviews specifically, Bright Data provides two approaches: purchase pre-collected Google Maps review datasets or build custom scrapers using their infrastructure.

Bright Data is not a point-and-click review scraper. It is a full data infrastructure platform used by Fortune 500 companies, market research firms, and large agencies. The Google Maps dataset includes pre-structured review data that you can filter by location, category, rating, and date range -- delivered on demand or on a recurring schedule.

Strengths:

• ✓Pre-built Google Maps datasets: Skip the scraping entirely. Purchase structured datasets of Google reviews filtered by geography, business category, or specific businesses. Data is cleaned, validated, and delivered in your preferred format.
• ✓Massive proxy network: 72+ million residential IPs, datacenter IPs, and mobile IPs across every country. If you are building custom scrapers, Bright Data's proxy infrastructure handles geo-restrictions and anti-bot measures.
• ✓Web Scraping IDE: Build and test custom scrapers in a browser-based development environment with built-in debugging tools.
• ✓Compliance and ethics: Bright Data operates under strict compliance frameworks -- important for enterprise clients who need auditable data sourcing.
• ✓Scale: Designed for millions of data points per month. If you need Google reviews for every restaurant in a metro area, Bright Data handles it without infrastructure concerns.

Limitations:

• ✓Enterprise pricing: Plans start at $500+/month. This is not viable for small businesses, independent researchers, or anyone who needs fewer than 50,000 data points per month. For alternatives at lower price points, see our Bright Data alternative comparison.
• ✓Complex onboarding -- the platform has a steep learning curve compared to simpler tools like Outscraper or SerpApi
• ✓Overkill for one-off research or small-scale monitoring
• ✓Sales-driven process -- you may need to talk to a sales rep before getting access to specific datasets

Pricing:

• ✓Pay-as-you-go: Available for some products, but minimum commitments apply
• ✓Subscription plans: Start at $500+/month depending on data volume and product selection
• ✓Custom enterprise: Contact sales for high-volume pricing

Best for:

Enterprise teams, market research firms, and large agencies that need Google review data at massive scale -- tens of thousands of businesses, millions of reviews, recurring delivery schedules. If your monthly data budget is under $500, look at Outscraper, SerpApi, or Apify instead.

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4. SerpApi

What it is: SerpApi is an API service that provides structured data from Google Search, Google Maps, Google Shopping, and other search engines. For Google reviews, SerpApi's Google Maps Reviews API returns structured JSON data for any business listing -- including review text, ratings, dates, and owner responses.

SerpApi is developer-focused. You make API calls with a place ID or search query, and SerpApi returns clean JSON. There is no web dashboard for non-technical users (though they offer a playground for testing queries). If you can write a Python script or use a tool like Postman, SerpApi gives you reliable, fast access to Google review data.

Strengths:

• ✓Clean, structured JSON: Every API response is well-documented and consistently formatted. No parsing HTML, no dealing with Google's dynamic rendering. This saves significant development time compared to building your own scraper.
• ✓Google Maps Reviews endpoint: Dedicated endpoint for review extraction with pagination support. Pull all reviews for a business, not just the first 5.
• ✓Broad Google coverage: Beyond reviews, SerpApi covers Google Search, Maps, Shopping, Images, News, and more. One API key, multiple Google data sources.
• ✓Language and location targeting: Specify the language and geographic location for your queries. Essential for businesses operating in multiple markets.
• ✓Reliable uptime: SerpApi handles all proxy rotation and CAPTCHA solving. They report 99.9%+ uptime and sub-second response times for most queries.

Limitations:

• ✓Developer-only: No visual interface for non-technical users. You need to write code or use API testing tools to extract data.
• ✓Search-based pricing: $50/month gets you 5,000 searches. Each search returns one page of reviews (~10 reviews), so 5,000 searches yields roughly 50,000 reviews. That is competitive, but costs scale with volume.
• ✓No CSV/Excel export built in -- you get JSON and need to convert it yourself
• ✓Focused on Google and other search engines -- no support for Amazon or social platforms

Pricing:

• ✓Free: 100 searches/month
• ✓Starter: $50/month (5,000 searches)
• ✓Business: $130/month (15,000 searches)
• ✓Enterprise: Custom pricing for higher volumes

Best for:

Developers and data engineers who want clean, reliable API access to Google Maps review data. SerpApi is the best choice when you are building a custom application, dashboard, or data pipeline that consumes Google review data programmatically. For non-technical users, Outscraper's web dashboard is a better fit.

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5. Apify Google Maps Scraper

What it is: Apify is a cloud scraping platform that hosts pre-built scrapers (called "actors"). The Google Maps Scraper actor extracts business listings and reviews from Google Maps -- including review text, ratings, dates, and reviewer information. It runs entirely in the cloud, so there is no browser extension or local software to install.

Apify's Google Maps Scraper stands out for its no-code interface. You configure the scraper through a web form -- enter search queries or place URLs, set the number of reviews to extract, apply filters -- and Apify handles the rest. Results are delivered in JSON, CSV, Excel, or XML. For users who want cloud-based extraction without writing code, it hits a sweet spot between Outscraper's simplicity and SerpApi's developer focus.

Strengths:

• ✓No-code configuration: A visual form lets you set search queries, geographic bounds, review limits, language filters, and output format without writing a single line of code.
• ✓Pay-per-use pricing: ~$5 per 1,000 results (businesses + reviews combined). Apify gives $5/month in free platform credits, enough for basic research.
• ✓Cloud execution: Scrapers run on Apify's servers. No browser slowdown, no IP blocks on your network, no CAPTCHA interruptions on your machine.
• ✓Scheduling: Set up recurring scraping jobs -- daily, weekly, or monthly -- to automatically monitor review changes over time.
• ✓Integrations: Push results directly to Google Sheets, Slack, webhooks, or storage services like S3 and Google Cloud Storage.
• ✓Open source actor: The Google Maps Scraper actor code is open source. Developers can fork it, customize extraction logic, and deploy their own version.

Limitations:

• ✓Platform learning curve -- Apify's interface is powerful but takes time to learn for first-time users
• ✓Credit-based pricing can be hard to predict for variable workloads
• ✓Slower than API-based tools for small, ad-hoc queries -- cloud jobs have startup overhead
• ✓Google-specific -- you would need separate Apify actors for Amazon or other platforms

Pricing:

• ✓Free: $5/month in platform credits
• ✓Starter: $49/month
• ✓Scale: $499/month for high-volume needs

Best for:

Non-technical users who want cloud-based Google review extraction with scheduling and integrations, but without writing code. Also a strong choice for teams that need recurring, automated scraping jobs. If you need one-time exports, Outscraper's pay-per-result model is more cost-effective. If you need API-level control, SerpApi is more developer-friendly.

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6. PhantomBuster

What it is: PhantomBuster is a cloud-based automation platform primarily known for LinkedIn and social media scraping. It also offers a Google Maps Phantom that extracts business information and reviews from Google Maps listings. PhantomBuster calls its scrapers "Phantoms" -- pre-built automation workflows that run in the cloud.

PhantomBuster's Google Maps capabilities are part of a broader automation toolkit. If you are already using PhantomBuster for LinkedIn lead generation or social media scraping, adding Google Maps review extraction to your workflow is straightforward. As a standalone Google review scraper, however, it is less specialized than Outscraper or SerpApi. For a detailed comparison with our tool, see our PhantomBuster alternative analysis.

Strengths:

• ✓Multi-platform automation: Google Maps is one of dozens of Phantoms available. If you also scrape LinkedIn, Instagram, Twitter, or other platforms, PhantomBuster consolidates those workflows.
• ✓Google Maps data extraction: Pull business names, addresses, phone numbers, ratings, review counts, and review text from Google Maps listings.
• ✓Workflow chaining: Connect multiple Phantoms into sequences -- for example, scrape Google Maps businesses, then enrich with LinkedIn data, then push to your CRM.
• ✓Cloud execution: Phantoms run on PhantomBuster's servers. No local setup, no browser extension required.
• ✓CSV export: Results download as CSV files for easy import into spreadsheets or databases.

Limitations:

• ✓Credit-based pricing: The $69/month Starter plan includes limited execution time. Google Maps scraping consumes credits quickly at scale, and costs can escalate.
• ✓Google Maps is not PhantomBuster's core focus -- the Google Maps Phantom receives less frequent updates than LinkedIn-focused features
• ✓Review text extraction is less comprehensive than dedicated tools like Outscraper -- fields like owner responses and Local Guide status may not be captured
• ✓No free tier -- the lowest plan starts at $69/month, which is expensive if Google Maps is your only use case
• ✓Primarily designed for lead generation workflows rather than review analysis

Pricing:

• ✓Starter: $69/month (limited execution time)
• ✓Pro: $159/month (more execution time and Phantoms)
• ✓Team: $439/month (collaboration features)

Best for:

Teams that already use PhantomBuster for LinkedIn or social media automation and want to add Google Maps data extraction to their existing workflow. If Google review scraping is your primary need, PhantomBuster is overpriced and underspecialized compared to Outscraper or SerpApi. But if you need a Swiss Army knife for cross-platform data collection and lead enrichment, it has its place.

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Google Reviews + Other Platforms: The Combo Approach

Here is the reality most "best Google review scraper" articles do not address: Google reviews rarely exist in a vacuum.

A restaurant tracking its Google reviews also needs to monitor Yelp. A SaaS company analyzing Google Business reviews also wants YouTube comment sentiment and Reddit discussions about their product. A brand manager doing competitor analysis using reviews needs data from Amazon and Google -- not just one platform.

Comment Exporter covers Google Maps alongside 10 other platforms. Dedicated Google scraping tools can still make sense when you need API-driven automation or larger cloud-based batches:

• ✓One-click Google Maps and multi-platform exports: Use Comment Exporter ($49.99/month or $299/year) for Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. One extension, 11 platforms, one-click export.
• ✓API-driven or high-volume Google extraction: Use Outscraper (~$2/1,000 reviews) or SerpApi ($50/month) when you need dedicated automation or cloud-based batches.

Comment Exporter's All Access plan costs $49.99/month or $299/year for Google Maps reviews plus 10 other platforms. Add a dedicated Google tool only if your volume or automation requirements call for it.

The right approach depends on the workflow. Comment Exporter provides broad, one-click browser coverage, while dedicated Google tools provide APIs and cloud automation for larger extraction jobs.

You can install Comment Exporter from the Chrome Web Store for one-click exports across all 11 supported platforms. For more context on how to export Google reviews, see our step-by-step guide.

What Data You Get from Google Review Exports

Not every tool extracts the same fields. Here are the data points a thorough Google review export should include:

• ✓Star rating (1-5): The baseline metric for sentiment analysis. Every tool captures this.
• ✓Full review text: The complete review body. This is where actionable insights live -- specific complaints, feature mentions, competitor comparisons. Some reviews are short ("Great service!") but many contain detailed feedback that is invaluable for product and service improvement.
• ✓Reviewer name and profile link: Identifies the reviewer. Useful for identifying repeat reviewers, Local Guides, and prolific contributors whose reviews carry more weight.
• ✓Review date: Critical for time-series analysis. Track how sentiment shifts after a renovation, menu change, new management, or a viral incident. Date data also reveals review velocity -- how quickly a business accumulates new reviews.
• ✓Owner/business response: Many businesses respond to Google reviews. Extracting response text lets you analyze response rates, response times, and response quality across competitors.
• ✓Place ID: Google's unique identifier for each business location. Essential when exporting reviews for multiple locations into a single dataset.
• ✓Review URL: A direct link back to the review on Google Maps. Useful for verification, citation, and linking in reports.
• ✓Reviewer metadata: Total reviews written, total photos uploaded, and Local Guide status. High-contribution reviewers tend to write more detailed, trustworthy reviews.
• ✓Review language: Identifies the language of the review text. Important for multi-market businesses operating across different countries.
• ✓Photos: Some reviews include photos. Certain tools extract photo URLs alongside the review data.

Outscraper and SerpApi capture the broadest set of Google review fields, including owner responses and reviewer metadata. Apify covers most fields through its configurable actor. PhantomBuster captures core fields but may miss specialized data like Local Guide status. Bright Data's pre-built datasets include comprehensive fields but require enterprise pricing to access.

Detailed Feature Comparison

Here is a head-to-head comparison across key criteria for choosing a Google review scraper:

Which Tool Should You Pick?

Your choice depends on three factors: your budget, your technical comfort level, and whether Google is your only review source or one of many.

• ✓If you need Google reviews and nothing else, on a budget: Start with Outscraper. The free tier gives you 1,000 reviews to evaluate, and pay-as-you-go pricing means you never pay for capacity you do not use. It is the most focused and cost-effective Google Maps review scraper available.
• ✓If you need Google reviews + reviews from other platforms: Use Comment Exporter for one-click exports from Google Maps, Amazon, YouTube, Reddit, and seven other platforms. All Access costs $49.99/month.
• ✓If you are a developer building a data pipeline: SerpApi gives you the cleanest, most reliable API for Google review data. Well-documented JSON responses, consistent formatting, and 99.9%+ uptime make it ideal for production applications.
• ✓If you want no-code cloud scraping with scheduling: Apify's Google Maps Scraper offers the best balance of power and accessibility. Configure scraping jobs through a visual interface, set up recurring schedules, and push results to Google Sheets or Slack automatically.
• ✓If you need enterprise-scale data: Bright Data handles millions of data points per month with pre-built datasets and the world's largest proxy network. But the $500+/month minimum means it only makes sense for large organizations.
• ✓If you already use PhantomBuster for other automation: Add the Google Maps Phantom to your existing workflow. But do not buy PhantomBuster solely for Google review scraping -- it is overpriced and underspecialized for that single use case.

For users who want manual, one-click exports across Google Maps and other review sources, Comment Exporter covers 11 platforms for $49.99/month. Outscraper remains a strong choice for automated, high-volume Google review extraction.

Frequently Asked Questions

Is it legal to scrape Google reviews?

Scraping publicly visible Google reviews for personal research, reputation monitoring, or competitive analysis is a common practice. However, Google's Terms of Service restrict automated access to their platforms. Tools that access Google Maps data through structured APIs (like SerpApi) or cloud-based extraction services (like Outscraper and Apify) operate within established frameworks. For commercial use or large-scale scraping, consult legal counsel and review Google's current policies. Chrome extensions that extract data from pages you are already viewing operate differently from bots that crawl Google at scale.

Can I export Google reviews to CSV or Excel?

Yes. Most Google review scrapers export to CSV, which opens directly in Excel or Google Sheets. Outscraper supports CSV, XLSX, and JSON. Apify exports to CSV, JSON, Excel, and XML. SerpApi returns JSON that you can convert to CSV with a simple script. Google itself does not provide a native review export feature, so a third-party tool is required. For a complete walkthrough, see our guide on how to export Google reviews.

What data fields can I extract from Google reviews?

A typical Google review export includes: star rating (1-5), full review text, reviewer name and profile link, review date, owner/business response text, review URL, place ID, reviewer's total review count, Local Guide status, review language, and photo indicators. The most comprehensive tools (Outscraper, SerpApi) capture all of these fields. Simpler tools may capture only ratings, text, and dates.