--- title: "Google Maps Review Scraper: Best Tools to Export Google Reviews" description: "Compare six Google Maps review scraper tools by pricing, features, and tradeoffs, including Outscraper, Apify, and PhantomBuster." canonical: https://tryadlicio.com/blog/google-maps-review-scraper --- # Google Maps Review Scraper: Best Tools to Export Google Reviews Published 2026-02-21. https://tryadlicio.com/blog/google-maps-review-scraper **Quick Answer:** The best Google Maps review scrapers in 2026 are Outscraper (pay-per-result, starting at $3 per 1,000 reviews), Apify Google Maps Scraper (cloud-based, pay-per-use), and PhantomBuster (automation templates with a free tier). For enterprise-scale extraction, Bright Data and ScrapeHero offer managed solutions. If you only need your own reviews, Google Takeout exports them for free — but it does not export reviews left by customers on your business listing. ## Why Export Google Reviews? Google Maps reviews are one of the richest sources of unfiltered customer feedback on the internet. Every local business, restaurant, hotel, clinic, and service provider accumulates reviews that reveal what customers actually think — not what they say in surveys. Exporting these reviews into a structured format unlocks four high-value use cases: - **Local business competitive analysis:** Export reviews from 10-20 competitors in your market. Identify what customers praise, what they complain about, and where the gaps are. A restaurant discovering that every competitor gets complaints about wait times has a clear differentiator to exploit. - **Reputation monitoring at scale:** Multi-location brands — franchises, hotel chains, healthcare networks — cannot manually read thousands of reviews across dozens of locations. Exporting reviews to a spreadsheet or BI dashboard lets you track sentiment by location, flag problems early, and measure the impact of operational changes. - **Market research and consumer insights:** Product managers, consultants, and researchers use Google review data to understand customer expectations in a category. What features do gym-goers mention most? What do hotel guests in a specific city value? The answers are in the reviews. - **Review response prioritization:** Exporting reviews with metadata — star ratings, dates, response status — lets you filter for unanswered negative reviews that need immediate attention. Sorting by recency and rating is faster in a spreadsheet than scrolling through Google Maps. The challenge is that Google does not offer a bulk export feature for business reviews. There is no "Download All Reviews" button. That is where Google Maps review scrapers come in. ## 6 Best Google Maps Review Scrapers in 2026 ### 1\. Outscraper Outscraper is the most widely used dedicated Google Maps scraper. It is purpose-built for extracting Google Maps data — reviews, business listings, photos, and contact information. - **How it works:** Cloud-based. You enter Google Maps URLs or search queries, select what to extract (reviews, business info, or both), and Outscraper runs the job on its servers. Results are delivered as CSV, Excel, or JSON. - **Pricing:** Pay-per-result. Reviews start at roughly $3 per 1,000 results. Free tier includes 100 elements/month for testing. - **Data fields:** Reviewer name, rating, review text, date, reviewer's total reviews, Local Guide status, business response, photos. - **Best for:** Small to mid-size businesses running competitive analysis. The pay-per-result model means you only pay for what you extract — no monthly subscription if you scrape infrequently. - **Limitations:** Interface can feel overwhelming for first-time users. Large jobs (100K+ reviews) require patience — processing times vary. ### 2\. Apify Google Maps Scraper Apify is a web scraping platform with a marketplace of pre-built scrapers called "actors." The Google Maps Scraper actor is one of the most popular on the platform. - **How it works:** Cloud-based. You configure the actor with search queries or place URLs, set parameters (max reviews, language, sorting), and run it. Results export to CSV, JSON, Excel, or directly to Google Sheets. - **Pricing:** Apify uses a credit system. The free tier includes $5 of usage per month. Paid plans start at $49/month with more credits. The Google Maps actor typically costs $1-5 per 1,000 reviews depending on complexity. - **Data fields:** Review text, rating, date, reviewer name, reviewer review count, business response, review URL, plus business metadata (address, phone, hours, category). - **Best for:** Developers and data teams who want flexibility. Apify actors can be chained together, scheduled, and integrated with APIs. If you need to scrape Google Maps reviews on a recurring schedule and pipe results into a database, Apify handles that well. - **Limitations:** Learning curve is steeper than Outscraper. The credit-based pricing can be hard to predict for large or variable workloads. ### 3\. PhantomBuster PhantomBuster is a general-purpose automation platform with pre-built templates — called "phantoms" — for common scraping and automation tasks. Their Google Maps template handles review extraction. - **How it works:** Select the Google Maps scraper phantom, enter your target URLs, configure output settings, and run. PhantomBuster executes the scraping in the cloud and delivers results as CSV or JSON. - **Pricing:** Free tier includes 2 hours of execution time per day. Paid plans start at $69/month for 20 hours/month. The $159/month plan includes 80 hours. - **Data fields:** Review text, star rating, reviewer name, date. The data fields are slightly more limited than Outscraper or Apify. - **Best for:** Marketers and growth teams who already use PhantomBuster for LinkedIn, Instagram, or other automation workflows. Adding Google Maps scraping to an existing PhantomBuster subscription is seamless. - **Limitations:** Time-based pricing means large scraping jobs consume your monthly hours quickly. Review-specific features (like filtering by date range or rating) are less granular than dedicated tools. ### 4\. Bright Data Bright Data is an enterprise-grade data collection platform. It combines proxy infrastructure, web scraping tools, and ready-made datasets — including Google Maps reviews. - **How it works:** Two options. First, use their Web Scraper IDE to build custom Google Maps scrapers with JavaScript. Second, purchase pre-collected Google Maps datasets from their marketplace. Both deliver structured data in CSV, JSON, or via API. - **Pricing:** Enterprise pricing. The Web Scraper starts at $500/month. Pre-collected datasets are priced per record. Not designed for small-scale or occasional use. - **Data fields:** Comprehensive — review text, rating, date, reviewer profile data, business metadata, photos, response text, and more. Custom fields available through the scraper IDE. - **Best for:** Large enterprises, agencies, and data teams running ongoing, high-volume Google Maps data extraction. If you need millions of reviews across thousands of locations on a recurring schedule, Bright Data is built for that scale. - **Limitations:** Overkill for small businesses or one-off projects. Pricing is not transparent — you need to contact sales. Setup requires technical expertise. ### 5\. ScrapeHero ScrapeHero is a managed scraping service. Instead of running scrapers yourself, you tell them what data you need and they deliver it. - **How it works:** You submit a request specifying the Google Maps locations and the data you need. ScrapeHero's team builds and runs the scraper, handles anti-bot measures, and delivers clean data. They also offer a self-service platform for simpler jobs. - **Pricing:** Custom quotes for managed services. Self-service plans start at $99/month. Enterprise projects typically run $500-2,000+ depending on scale and complexity. - **Data fields:** Fully customizable through managed service. Standard fields include review text, rating, date, reviewer info, and business details. - **Best for:** Companies that need Google Maps data but do not have technical staff to run scrapers. The managed service model means zero technical overhead — you get clean data delivered to your inbox or cloud storage. - **Limitations:** Most expensive option for small-scale work. Turnaround time for managed projects can be 2-5 business days. Less control over timing and parameters. ### 6\. Google Takeout (Manual Export) Google Takeout is Google's official data export tool. It lets you download data associated with your Google account — including reviews you have written. - **How it works:** Go to [takeout.google.com](https://takeout.google.com), select "Maps (your places)" from the list of Google products, and download. The export includes your reviews, saved places, and location history. - **Pricing:** Free. - **Data fields:** Review text, star rating, date, and the business you reviewed. - **Best for:** Individuals who want a backup of their own Google reviews. Researchers studying their own review history. - **Limitations:** Only exports reviews _you_ wrote — not reviews left on your business listing by customers. Cannot export competitor reviews. No bulk extraction capabilities. This is a personal data export tool, not a scraper. ## Comparison Table | Tool | Starting Price | Ease of Use | Output Formats | Volume Limits | Best For | | --- | --- | --- | --- | --- | --- | | Outscraper | ~$3/1K reviews | Moderate | CSV, Excel, JSON | No hard cap | SMBs, competitive analysis | | Apify | $49/mo (credits) | Moderate-Advanced | CSV, JSON, Excel, Sheets | Credit-based | Developers, recurring scrapes | | PhantomBuster | Free / $69/mo | Easy | CSV, JSON | Time-based (hours) | Marketers, multi-tool users | | Bright Data | $500/mo | Advanced | CSV, JSON, API | Unlimited (enterprise) | Enterprises, high volume | | ScrapeHero | $99/mo (self-serve) | Easy (managed) | CSV, JSON, custom | Custom | Non-technical teams | | Google Takeout | Free | Easy | JSON | Own reviews only | Personal data backup | ## What About Other Review Platforms? Google Maps is one review source — but most businesses and researchers need data from multiple platforms. Amazon product reviews, YouTube comment sections, Reddit discussions, and Steam game reviews each contain different types of customer feedback. If you need to export Google Maps reviews or reviews from other supported platforms, [Comment Exporter](/scrapers/reddit-comment-scraper) handles 11 platforms with one Chrome extension: - **Amazon:** Product reviews with ratings, verified purchase status, and dates. [See the Amazon review scraper](/scrapers/amazon-review-scraper). - **YouTube:** Video comments with like counts, replies, and timestamps. - **Reddit:** Thread comments with upvotes, timestamps, and nested replies. Free to use. - **Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, Shopify:** Each with platform-specific metadata. Comment Exporter supports Google Maps reviews alongside Amazon, YouTube, Reddit, and seven other platforms. It consolidates all 11 platforms into a single tool at $49.99/month, with one extension, one export workflow, and structured CSV or JSON output across every platform. For teams running [competitor analysis using reviews](/blog/competitor-analysis-using-reviews) from multiple sources, Comment Exporter provides one-click exports across Google Maps and 10 other platforms. See our [roundup of the best comment exporters in 2026](/blog/best-comment-exporters) for a full comparison of multi-platform tools. ## Tips for Google Review Analysis Exporting reviews is step one. Turning that data into actionable insights is where the real value lives. Here are six techniques that work well with exported Google Maps reviews: - **Sentiment analysis by star rating:** Do not just look at the average rating. Export reviews, group by star rating (1-star, 2-star, etc.), and read the text in each group. One-star reviews reveal deal-breakers. Three-star reviews reveal "almost good enough" problems — the easiest wins for improvement. Five-star reviews reveal what to double down on. - **Competitor benchmarking with keyword frequency:** Export reviews from 5-10 competitors. Count how often specific keywords appear — "parking," "wait time," "friendly staff," "clean." A competitor with 200 mentions of "friendly staff" and your business with 30 tells you where you are falling short. - **Response pattern analysis:** Export reviews with business response data. Calculate your response rate (percentage of reviews with a business reply), average response time, and whether responses are personalized or templated. Compare against competitors. Businesses that respond to every review — including positive ones — consistently rank higher in local search. - **Temporal trend tracking:** Sort exported reviews by date. Look for sentiment shifts around specific events — a menu change, a renovation, a new manager, a viral social media post. Correlating review sentiment with operational changes shows what actually moved the needle. - **Review velocity monitoring:** Track how many new reviews you receive per week or month versus competitors. A sudden spike in competitor reviews might indicate a review generation campaign. A drop in your own review velocity might mean your follow-up process is broken. - **AI-powered theme extraction:** Paste exported reviews into ChatGPT or Claude and ask for theme clustering. AI tools can process hundreds of reviews in seconds and surface patterns that manual reading would miss. For a detailed walkthrough of this technique, see our guide on [competitor analysis using reviews](/blog/competitor-analysis-using-reviews). ## Frequently Asked Questions ### Is it legal to scrape Google Maps reviews? Scraping publicly available Google Maps reviews is generally considered legal for personal research and analysis purposes. However, Google's Terms of Service prohibit automated scraping of their platforms. Most third-party tools operate in a gray area by using proxies and rate limiting. For business use, check with your legal team and review the terms of the specific scraping tool you choose. Using the data for competitive analysis and internal research carries less risk than republishing scraped reviews. ### Can I export my own Google reviews using Google Takeout? Yes, but with significant limitations. Google Takeout lets you export reviews _you_ have written, not reviews others have left on your business listing. For business owners who want to export reviews left by customers on their Google Business Profile, Takeout is not the right tool. You would need a third-party Google Maps review scraper like Outscraper or Apify to export customer reviews at scale. ### What data fields can I extract from Google Maps reviews? Most Google Maps review scrapers extract the following fields: reviewer name, star rating (1-5), review text, review date, number of reviewer's total reviews, reviewer's photo count, business response text, business response date, and review ID. Some tools also capture the reviewer's Local Guide level and whether the review includes photos. The exact fields vary by tool. ### How many Google reviews can I scrape at once? Volume limits depend on the tool. Outscraper handles up to millions of reviews per job with no hard cap. Apify's Google Maps Scraper can process thousands of reviews per run. PhantomBuster limits runs by time — typically 2 hours per execution. For most local business analysis — scraping reviews from 10 to 50 competitor locations — any of the major tools will handle the volume without issues. ### Can Comment Exporter scrape Google Maps reviews? Yes. Comment Exporter supports Google Maps and Google Business Profile reviews as one of its 11 platforms: Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. Google Maps access is included in the All Access plan.