If you have ever tried to collect Google Maps reviews manually, you already know how painful it is. You open a listing, scroll through dozens of reviews, copy each one into a spreadsheet, and repeat the process for every location you care about. For one business, it is tedious. For ten, it is a full day of work. For a hundred, it simply does not happen.
And yet Google Maps is one of the most valuable sources of public business data available anywhere. It holds hundreds of millions of reviews across every business category and geography. Every review is a real customer expressing a real opinion in their own words, unprompted and unpaid. That is the kind of signal that focus groups and surveys spend enormous budgets trying to replicate, and it is sitting right there on the internet, publicly accessible, updated in real time.
The good news is that you do not need to write a single line of code to access it systematically. A good google maps data scraper can pull hundreds or thousands of reviews, ratings, and business details into a clean, structured format in minutes, automatically, on a schedule you control.
This guide explains exactly how to do it, which tools actually work, and what to do with the data once you have it.
Why People Extract Google Maps Reviews
Before getting into the how, it is worth understanding the why. The use cases for Google Maps data extraction are broader than most people assume.
Reputation monitoring is the most obvious one. Brands with multiple locations need to track what customers are saying across every outlet, not just the ones that email them directly. A Google Maps data scraper lets you pull reviews from all locations into one dataset, flag negative sentiment before it compounds, and spot patterns across branches that would be invisible if you were reading reviews one by one. A restaurant chain with 30 outlets cannot realistically have someone checking Google Maps manually every day. An automated scraper running on a weekly schedule makes that monitoring effortless.
Competitive research is equally valuable. If you want to understand why a competitor is rated 4.7 while you are at 4.2, reading their reviews at scale tells you exactly what customers praise about them and what they complain about. You might find that their one-star reviews consistently mention wait times, which means their operations have a gap your brand can close or market against. That kind of insight takes hours manually. With a scraper, it takes minutes.
Lead generation is a use case that agencies and sales teams rely on heavily. A Google Maps data scraper can pull business names, phone numbers, websites, addresses, and review counts for every plumber, dentist, or restaurant in a given city, giving you a qualified prospect list with context on business size and customer sentiment in a fraction of the time it would take to build manually. Sales teams then use that data to prioritise outreach based on review volume, average rating, or how recently the business was active.
Market research rounds out the picture. Investors, consultants, and analysts use Google Maps data to benchmark local markets, understand consumer sentiment trends, and evaluate business density in target geographies. If you are assessing whether to open a new location in a particular area, pulling review data for every similar business in that zone gives you a ground-level view of market saturation and customer satisfaction that no traditional market report can match.
What a Google Maps Data Scraper Actually Extracts
The term “Google Maps data scraper” covers a range of tools with different capabilities. Depending on which tool you use and how you configure it, you can extract:
From business listings:
- Business name, category, and description
- Address, phone number, and website
- Star rating and total review count
- Opening hours and popular times
- Price range and amenities
- Photos and coordinates
From reviews specifically:
- Review text (the full written comment)
- Star rating per review
- Review date
- Reviewer name and profile link
- Owner response text and date
- Review source (Google or third-party platforms like TripAdvisor)
Most teams doing reputation monitoring or competitive research primarily need the reviews layer. Teams doing lead generation primarily need the business listing layer. Some workflows need both.
Tool Comparison at a Glance
| Tool | No Code | Works in Google Sheets | Review Text | Business Data | API Access | Pricing Model |
| Smacient Marketing Data Extractor | Yes | Yes, natively | Yes | Yes | No | Per credit (10 reviews = 1 credit) |
| Outscraper Scraper | Yes | Via export | Yes | Yes | No | Pay-as-you-go, free tier |
| Outscraper Reviews API | No | Via integration | Yes | Yes | Yes | Pay-as-you-go, free tier |
| Scrap.io | Yes | Via export | No | Yes | No | From 49 euros per month |
| PhantomBuster | Yes | Yes, via export | No | Yes | No | From $69 per month |
| Omkarcloud (Open Source) | No | Via export | Yes | Yes | Yes ($16/month) | Free (200/month) or $28 one-time |
The Tools That Actually Work (No Code Required)
1. Smacient Marketing Data Extractor (Google Sheets Add-On)
Smacient’s Marketing Data Extractor is a Google Sheets Add-On with a dedicated Google Maps Reviews module built directly inside it. This is the only tool in this list that lets you extract Google Maps reviews without leaving your spreadsheet at all.
Once installed from the Google Workspace Marketplace, the add-on opens as a sidebar inside Google Sheets. The Google Maps Reviews module gives you two ways to extract data.
The first is Extract by URL. You paste Google Maps place URLs directly into the sidebar, one per line, set how many reviews you want per location using a slider (up to 500), choose your sort order (Newest First, Highest Rated, Lowest Rated, or Most Relevant), and click Extract Reviews. Results populate directly into your sheet.
The second is Discover and Extract. Instead of pasting URLs manually, you type a Place or Brand name and City into a template sheet, click Search Places to find the matching Google Maps listings, select the rows you want, and then run the review extraction on those results. This mode is particularly useful when you are researching competitors or building a dataset for a category you do not yet have URLs for.
Both modes let you choose exactly which fields to extract using a checkbox selector organised into four groups: Review Info (rating, review text, review date, date in ISO format, helpful votes, review images), Reviewer Info (reviewer name, profile link, local guide status, total reviews, total photos, profile photo), Owner Response (response text, response date), and Metadata (location name, review ID, review link, place ID). Quick-select presets for Essential, Full, Analysis, and Reputation save you from configuring fields manually each time.
The pricing is also transparent: 10 reviews cost 1 credit, so you always know exactly what a run will cost before you extract.
Best for: Marketing teams, agencies, reputation managers, and anyone who wants to extract Google Maps reviews and work with the data directly inside Google Sheets without switching platforms or managing exports.
2. Outscraper
Outscraper is a dedicated Google Maps data platform and one of the most widely used Google Maps data scrapers available today. Unlike general-purpose scraping tools, it was built specifically around Google Maps, which means the extraction logic, data schema, and cloud infrastructure are all optimised for that single source.
The Google Maps Reviews Scraper on Outscraper accepts place URLs, Google IDs, Place IDs, or plain search queries as input. You can filter results by sorting order (newest, highest rated, lowest rated, most relevant), set review limits per location, and filter by language. All scraping runs on Outscraper’s servers, so your IP is never used, and the task continues even after you close your browser.
What sets Outscraper apart for teams managing large volumes is its pay-as-you-go pricing with a monthly free tier. You are only billed for what you actually extract, with no subscription commitment. The platform also offers a Google Maps Reviews API for teams that want to pull data programmatically into their own apps, and native integrations with Zapier and n8n for no-code automation workflows.
Data fields returned: review text, star rating, review date, reviewer name, reviewer profile link, owner response, review source, and language.
Pricing: Pay-as-you-go with a free tier available each month. No subscription required.
Best for: Teams that need reliable, high-volume Google Maps review extraction with flexible input formats and no monthly commitment.
3. Scrap.io
Scrap.io is a Google Maps-specific lead generation and data extraction tool built around one core idea: you should only pay for the leads you actually want, not for the time it takes to find them. Unlike tools that charge based on execution time or API calls, Scrap.io charges per result extracted, so your costs are entirely predictable before you run anything.
The platform covers 4,000+ business categories across 195 countries, and its filtering system is one of the most granular available. Before running an extraction, you can filter by average rating, number of reviews, whether the listing has a website, whether it has been claimed on Google Maps, price range, and even whether the business’s website has advertising pixels or a contact form. That last filter is particularly useful for agencies doing lead generation: a web design agency can search for restaurants without a website, or a reputation management firm can find businesses with low ratings in a specific city.
Scrap.io bypasses Google Maps’ standard 120-result cap and extracts in real time, so data is always current rather than pulled from a static database. It also enriches results with email addresses and social media links scraped from the business’s website, all within the same task.
Pricing: 7-day free trial with 100 free leads. Paid plans start at 49 euros per month for 10,000 exports.
Best for: Lead generation, agencies, and sales teams that need filtered, enriched Google Maps business data at scale with predictable per-lead pricing.
4. PhantomBuster
PhantomBuster is a cloud-based automation platform with over 100 pre-built “Phantoms” covering platforms from LinkedIn and Instagram to Google Maps. It’s Google Maps Search Export that extracts business data from Google Maps search results, and a separate Google Maps Search to Contact Data workflow extends that with email addresses and social media links pulled from each business’s website.
For Google Maps specifically, PhantomBuster accepts a search keyword and location, or a list of Google Maps search URLs from a Google Sheet. You configure the run, schedule it if needed, and the results are exported to CSV or Google Sheets automatically. The platform runs in the cloud with no browser required.
One important limitation to note: PhantomBuster’s Google Maps export captures review metadata (average rating and total review count) but does not extract individual review text. If your use case is reputation monitoring or reading what customers actually say, this is not the right tool. Where PhantomBuster excels is for sales and growth teams who need a business list from Google Maps as part of a broader multi-platform prospecting workflow, particularly if they are already using PhantomBuster for LinkedIn or social outreach.
Pricing: 14-day free trial. Paid plans start at $69 per month.
Best for: Growth and sales teams already using PhantomBuster for LinkedIn prospecting who want to add Google Maps business lists to the same workflow.
5. Outscraper Google Maps Reviews API
For developers and technical teams who want to pull Google Maps reviews programmatically into their own apps, dashboards, or data pipelines, Outscraper’s Google Maps Reviews API is one of the most capable options available. Where the Outscraper scraper UI is designed for manual or scheduled runs, the API is designed to be called directly from your code, returning structured review data in JSON format on demand.
The API accepts place URLs, Google IDs, or search queries as input and returns the same rich field set as the scraper: review text, star rating, review date, reviewer details, owner response, and language. It supports filtering by sort order, review count limits, and language, and comes with SDKs for Python and JavaScript to speed up integration. There is a free tier available, so you can test it without a credit card before committing to paid usage.
A typical use case is a brand that wants to build an internal reputation dashboard pulling live reviews from all their locations automatically. Rather than manually scheduling scraper runs, the API lets their engineering team call it on a cron job and push results straight into their database or BI tool.
Pricing: Pay-as-you-go with a free tier. No subscription required.
Best for: Developers and technical teams who need Google Maps review data delivered programmatically into their own systems.
6. Google Maps Reviews Scraper by Omkarcloud (Open Source)
This is the only open-source option in this list and the only one that runs as a downloadable desktop app on your own machine. Built on the Botasaurus Desktop framework, it gives you a full UI dashboard for Windows, Mac, and Linux with no browser extension or cloud account required.
The setup takes around 5 minutes: download the app, open it, enter your search queries or business categories, select your country, state, and city, then toggle on Reviews Extraction in the settings. You set the maximum reviews per place and choose your sort order (Newest, Most Relevant, Highest Rating, or Lowest Rating). The app handles the scraping locally on your device and exports results as CSV, JSON, or Excel.
The free version gives you 200 searches per month, which is enough for most small-scale use cases. The Pro version is a one-time payment of $28 for lifetime unlimited searches with no recurring fees, which makes it the most cost-efficient option in this list for teams that need to run frequent or large extractions over time. It also has a REST API option available at $16 per month for developers who want to call it programmatically from Python or Node.js scripts.
With 145 stars and 29 forks on GitHub and an MIT license, it is actively maintained and free to inspect or modify if your team has development capacity.
Pricing: 200 free searches per month. The Pro version is a one-time payment of $28 for lifetime unlimited searches.
Best for: Technical users, researchers, and cost-conscious teams who want a locally-run, open-source Google Maps data scraper with no recurring subscription.
How to Extract Google Maps Reviews Step by Step
Step 1: Install the add-on. Go to Smacient’s Marketing Data Extractor and install it from the Google Workspace Marketplace. Takes under a minute.
Step 2: Open it inside Google Sheets. Go to Extensions, select Marketing Data Extractor, then Google Maps Reviews. A sidebar opens on the right.
Step 3: Choose your mode. Use Extract by URL if you already have Google Maps links. Use Discover and Extract if you want to search by business name and city first.
Step 4: Load your location.s Paste your URLs one per line, or select rows from your search results and click Load from Sheet.
Step 5: Set your preferences. Use the slider to set how many reviews per location (up to 500), choose your sort order, and pick a field preset: Essential, Full, Analysis, or Reputation.
Step 6: Extract Click Extract Reviews. Results land directly in your sheet, one row per review, ready to filter and analyse.
What to Do With the Data Once You Have It
Extracting the data is only the first step. Here is how teams typically use it once it is in a spreadsheet.
Sentiment tagging: Classify each review as positive, neutral, or negative using a simple formula or AI tool. Track your sentiment ratio over time and compare scores across locations to catch underperforming branches early.
Keyword extraction: Filter review text by common words to see what customers mention most. If “staff” appears in 80% of your five-star reviews, that is a marketing message. If “parking” keeps showing up, that is an operational issue.
Competitor benchmarking: Run the scraper on your top competitors in the same category. Compare average rating, review volume, and themes in their negative reviews to understand where they are losing customers.
Response rate auditing: Filter for reviews with no owner response. For multi-location businesses, this quickly surfaces which branches are ignoring feedback and where reputation management is falling short.
Trend tracking: Schedule weekly runs and store results over time. Plot rating and review volume on a chart to see exactly when sentiment shifted and what caused it.
Who Should Start With Which Tool
Not every tool in this list is right for every team, so here is a quick guide.
If you need to extract individual review text for reputation monitoring or sentiment analysis, start with Outscraper. It is the most capable dedicated Google Maps reviews tool available and works on a pay-as-you-go basis with no monthly commitment.
If you are in sales, lead generation, or agency work and need enriched business data with emails and social links, Scrap.io’s filtered extraction and per-lead pricing make it the most cost-efficient option for building targeted prospect lists.
If your team already uses PhantomBuster for LinkedIn or social prospecting and you want to add Google Maps business lists to the same platform, the Google Maps Search Export slots into your existing workflow without adding another tool.
If your team works entirely inside Google Sheets and you want to extract reviews without ever leaving your spreadsheet, Smacient’s Marketing Data Extractor is the only tool in this list that works natively inside Google Sheets, with results landing directly into your sheet.
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Frequently Asked Questions
Do I need coding skills to use a Google Maps data scraper? No. Every tool in this list is built for non-technical users. You paste in a URL or search term, configure a few settings, and click extract.
Can I scrape Google Maps reviews for multiple locations at once? Yes. All tools support multiple locations in a single run, with results tagged by location automatically.
Is it legal to scrape Google Maps reviews? Generally, yes for publicly visible data, but comply with GDPR and CCPA and consult a legal advisor for commercial use at scale.
Does Google block scrapers? It tries to, which is why quality tools use rotating residential proxies and browser fingerprint randomisation to stay functional.
How much does it cost? It depends on the tool. Smacient’s add-on charges 10 reviews per credit. Outscraper is pay-as-you-go with a free monthly tier. Scrap.io starts at 49 euros per month. PhantomBuster starts at $69 per month with a 14-day free trial.
