Best App Store Review Scrapers in 2026: Export iOS & Google Play Reviews

Quick Answer: The best app store review scraper depends on your platform and workflow. AppFollow and Apify offer dedicated iOS App Store and Google Play extraction with advanced filtering. Comment Exporter does not support either app store; it is a complementary Chrome extension for 11 other review and discussion platforms. We compare features, pricing, and use cases for 6 tools below.

Key Points:

• ✓Best companion for other feedback sources: Comment Exporter covers Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify, but not iOS App Store or Google Play
• ✓Best for dedicated app review monitoring: AppFollow provides real-time review tracking, sentiment analysis, and developer response management for both iOS and Android
• ✓Best for developers building pipelines: Apify offers cloud-based actors for both App Store and Google Play that integrate into automated data workflows
• ✓Covers both stores: The Apple App Store and Google Play Store have different review structures -- the tools in this guide handle both, with varying levels of depth
• ✓Export formats: All tools reviewed export to CSV for spreadsheet analysis; most also support JSON for AI-powered review analysis and automated pipelines

Comment Exporter has 10,000+ weekly users on the Chrome Web Store and maintains a 5.0 star rating, but it is included here only as a companion for research across its 11 supported platforms.

Why Scrape App Store Reviews?

The Apple App Store and Google Play Store together host hundreds of millions of app reviews -- arguably the most direct, unfiltered source of user feedback available to product teams. Unlike surveys or support tickets, app store reviews are written voluntarily by real users in the moment they feel strongly enough to share. That makes them invaluable for three distinct use cases:

• ✓Product teams tracking user sentiment: App reviews surface bugs, feature requests, and UX frustrations faster than any internal feedback channel. A structured export of your last 5,000 reviews reveals which issues appear most frequently, how sentiment shifts after each release, and which features users actually care about. Teams that monitor reviews systematically catch problems before they become one-star avalanches.
• ✓Competitor intelligence: Scraping competitor app reviews exposes their weaknesses and unmet user needs. If your competitor's latest update introduced a bug that users are complaining about, that is a window of opportunity. If users consistently request a feature your competitor lacks but you offer, that is a marketing angle. Competitor analysis using reviews turns qualitative user feedback into a strategic advantage -- but only when you can get the reviews into a spreadsheet.
• ✓Market research and academic analysis: Researchers studying mobile app ecosystems, user behavior patterns, and platform dynamics need structured review datasets. App reviews provide timestamped, rated, text-rich data points that support sentiment analysis, natural language processing studies, and trend detection across app categories. The academic research scraping guide covers best practices for building these datasets responsibly.

"App store reviews are the most honest product feedback you will ever get. Users do not sugarcoat things when they are writing a review at 2 AM after an app crashed. The challenge is turning that raw feedback into structured data you can actually analyze."

-- Shane Barker, Founder of TraceFuse.ai

The challenge is that neither Apple nor Google makes it easy to bulk-export reviews. Apple's App Store Connect provides limited review access through its API, but only for apps you own. Google Play Console shows reviews for your own apps, but exporting at scale or scraping competitor reviews requires a third-party tool. Whether you need a Chrome extension for quick exports, a cloud API for automated pipelines, or a full review monitoring platform, the right app store review scraper depends on your volume, technical setup, and which platforms you need to cover beyond app stores.

This guide compares 6 tools across those categories. We tested each one on real app review pages from both the iOS App Store and Google Play Store and evaluated them on extraction accuracy, ease of use, pricing, and data quality.

How We Tested

We evaluated each app store review scraper against a consistent set of criteria using real app listings from both stores:

• ✓Extraction accuracy: Did the tool correctly identify and extract all review fields (star rating, review text, reviewer name, date, app version)?
• ✓Platform coverage: Does it support the iOS App Store, Google Play Store, or both? How well does it handle the structural differences between the two platforms?
• ✓Ease of use: How long from installation to first successful export? Does it require coding, API configuration, or manual field mapping?
• ✓Export quality: Were the exported files clean and analysis-ready, or did they require significant cleanup?
• ✓Pricing transparency: Was it clear what you would pay before committing?

We also evaluated Chrome Web Store ratings, documentation quality, and community support for each tool. Testing was conducted in March 2026. For a step-by-step walkthrough of the scraping process, see our guide on how to scrape app store reviews.

Quick Comparison Table

Here is every tool at a glance -- type, pricing, and what makes it distinct:

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. Comment Exporter (Cross-Platform Companion)

What it is: A Chrome extension that started as a Reddit comment scraper and now supports 11 platforms: Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. It does not support the iOS App Store or Google Play, so use one of the dedicated tools below for app store reviews.

The extension is designed for users who need clean review exports from its supported platforms without any API configuration, CSS selectors, or coding. It has 10,000+ users on the Chrome Web Store and maintains a perfect 5.0 star rating. Its one-click workflow works for tasks such as exporting YouTube comments or downloading Amazon reviews.

What You Get from Supported Review Exports:

• ✓Full review or comment text
• ✓Author or reviewer username
• ✓Publication date
• ✓Rating where the platform provides one
• ✓Scores, votes, or helpfulness data where available
• ✓Replies or thread metadata where available

Strengths:

• ✓Zero-configuration export: No API keys, no field mapping, no CSS selectors. Open a supported review or discussion page in Chrome, click the extension icon, choose CSV or JSON, and download. The extension auto-detects the platform and applies the correct parser.
• ✓11 platforms in one extension: If you are analyzing app reviews, you might also need YouTube comments about the app or Reddit discussions about the category. Comment Exporter handles those complementary sources from one tool and one subscription.
• ✓Local processing: All data extraction happens in your browser. Nothing is sent to external servers. Your scraped review data stays on your machine -- critical for teams working with sensitive competitive intelligence.
• ✓Flat pricing: $49.99/month or $299/year for All Access. No per-export fees or credit systems across the 11 supported platforms.
• ✓Dual format output: CSV for spreadsheet analysis in Google Sheets or Excel, JSON for developers feeding data into Python scripts or AI analysis pipelines.

As one user described the experience: "Compared to other tools, the price is incredibly low for the quality it delivers. I can now export reviews from Amazon in seconds." -- Mitran Marian.

Limitations:

• ✓No scheduled or automated exports -- manual triggering only
• ✓Chrome-only (requires Google Chrome; no Firefox or Safari support)
• ✓No API access for programmatic workflows
• ✓Does not support the iOS App Store or Google Play Store
• ✓Does not provide built-in sentiment analysis or review response management

Pricing:

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

Best for:

Product managers, app developers, and marketers who need complementary feedback from Reddit, YouTube, Amazon, and the extension's other supported platforms. The free Reddit tier lets you test the extension's workflow and export quality before committing to the paid plan. For app store extraction methods, read our step-by-step guide to scraping app store reviews.

Another user noted the output quality: "The files it spits out are perfectly formatted, no messy cleanup needed." -- Alfon Labadan

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2. AppFollow

What it is: A dedicated app store intelligence platform built specifically for mobile app teams. AppFollow monitors reviews across both the iOS App Store and Google Play Store in real time, providing a unified dashboard for review tracking, sentiment analysis, and developer response management. It goes well beyond simple scraping -- AppFollow is a full review operations platform.

For teams that need ongoing review monitoring rather than one-off exports, AppFollow is the most comprehensive option. You connect your apps (or competitor apps), and the platform continuously ingests new reviews, tags them by sentiment and topic, and alerts you to critical feedback. Review data can be exported to CSV or accessed through AppFollow's API.

Strengths:

• ✓Real-time review monitoring: New reviews appear in your dashboard within minutes of being posted. Set up alerts for negative reviews, specific keywords, or rating drops.
• ✓Both stores, one dashboard: Unified view of iOS App Store and Google Play reviews. Compare review sentiment across platforms for the same app.
• ✓Built-in sentiment analysis: Automatic categorization of reviews by topic (bugs, UI, performance, pricing) and sentiment (positive, negative, neutral). No need to export and analyze separately.
• ✓Developer response management: Reply to reviews directly from AppFollow's dashboard. Track response rates and resolution times.
• ✓Competitor tracking: Monitor competitor app reviews alongside your own. See what users praise and complain about in competing apps.

Limitations:

• ✓Expensive for small teams: The free tier is limited to 100 reviews per month. Paid plans start at $111/month, making it a significant investment for indie developers or solo researchers.
• ✓Overkill for one-off exports: If you just need a CSV of reviews for a research project, the full monitoring platform is more than you need. A Chrome extension or API tool is faster and cheaper for ad-hoc scraping.
• ✓Limited to app stores: AppFollow covers iOS and Google Play but does not help with other review platforms. If you also need Amazon or YouTube data, you need a separate tool.
• ✓Learning curve for advanced features: The platform offers many features -- workflow automations, integrations, analytics dashboards -- that take time to configure and learn.

Pricing:

• ✓Free: Up to 100 reviews/month, basic monitoring
• ✓Essential: $111/month (10,000 reviews, sentiment analysis)
• ✓Business: $222/month (unlimited reviews, API access, integrations)
• ✓Enterprise: Custom pricing

Best for:

Mobile app teams that need continuous review monitoring, sentiment tracking, and response management across both app stores. If app reviews are a core part of your product operations (not just occasional research), AppFollow's dedicated platform justifies the higher price. For ad-hoc exports or multi-platform research, a more flexible tool is a better fit.

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3. Apify (App Store & Google Play Actors)

What it is: A cloud scraping platform that offers pre-built "actors" (scraping scripts) for specific websites, including dedicated actors for both the Apple App Store and Google Play Store. Apify lets you configure an actor with the app URL or app ID, set parameters (number of reviews, country, language, sort order), and its cloud servers handle the extraction and deliver structured data in your chosen format.

Apify is the strongest developer-friendly option for app review scraping. The Google Play Scraper actor and App Store Scraper actor are maintained by the community and updated regularly. You can run them through Apify's web console, API, or integrate them into automated workflows using webhooks and integrations.

Strengths:

• ✓Dedicated actors for both stores: Pre-built, maintained scraping scripts specifically designed for iOS App Store and Google Play review pages. No need to build scrapers from scratch.
• ✓Cloud execution: Scraping runs on Apify's servers. No browser needs to stay open, and you can schedule recurring extractions.
• ✓Rich filtering options: Filter reviews by country, language, star rating, date range, and sort order. Extract exactly the subset of reviews you need.
• ✓Multiple output formats: CSV, JSON, Excel, XML. Data is stored in Apify's dataset storage and can be downloaded or accessed via API.
• ✓API and webhook integrations: Build automated pipelines that trigger review extraction on a schedule and push data to Google Sheets, databases, or analysis tools.

Limitations:

• ✓Credit-based pricing: Apify uses a credit system where costs depend on actor compute time and data volume. Costs are harder to predict compared to flat-rate or per-result pricing.
• ✓Technical setup required: While the web console is usable by non-developers, getting the most from Apify (API integration, scheduling, data pipelines) requires technical knowledge.
• ✓Community-maintained actors: The app store actors are built by the community, not Apify itself. Quality and maintenance consistency can vary, and actors may break when Apple or Google update their page structures.
• ✓No review response features: Apify is a data extraction tool, not a review management platform. You extract the data; analysis and response happen elsewhere.

Pricing:

• ✓Free tier: $5 of monthly platform credits (enough for small test runs)
• ✓Starter: $49/month (includes $49 in platform credits)
• ✓Scale: $499/month (higher concurrency, priority support)

Best for:

Developers and data engineers who need API-level control over app review extraction and want to build automated pipelines. If you are already using Apify for other scraping tasks, adding app store review actors to your workflow is straightforward. For non-technical users or ad-hoc research, the setup overhead is hard to justify versus a Chrome extension.

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4. Outscraper

What it is: A cloud-based scraping platform primarily known for its Google Maps and Google Business review scrapers, but its capabilities extend to Google Play Store reviews as well. Outscraper lets you submit app URLs or app IDs through a web dashboard or REST API, and its servers handle the extraction and return structured data in CSV, XLSX, or JSON format.

Outscraper's pay-per-result pricing model is particularly attractive for teams that need occasional app review exports without committing to a monthly subscription. You pay approximately $2-3 per 1,000 reviews extracted, keeping costs proportional to actual usage.

Strengths:

• ✓Pay-per-result pricing: No monthly subscription required for occasional use. You pay only for the reviews you extract, making it cost-effective for one-off research projects.
• ✓API access: Integrate Google Play review extraction into Python scripts, data pipelines, or automated workflows using their REST API.
• ✓Multiple export formats: CSV, XLSX, and JSON output. Data is clean and analysis-ready.
• ✓Handles anti-scraping: Proxy rotation, rate limiting, and request management are built into the platform -- you do not need to worry about IP blocks or CAPTCHAs.
• ✓Google Sheets add-on: Extract reviews directly into a Google Sheets spreadsheet without downloading files.

Limitations:

• ✓Google Play focus: Outscraper's app review capabilities are strongest for Google Play. iOS App Store review scraping is less developed compared to dedicated tools like AppFollow or Apify actors.
• ✓Not a one-click workflow: You need to input URLs, configure parameters, wait for results, and download output -- more steps than a Chrome extension.
• ✓Costs scale with volume: At $2-3 per 1,000 results, scraping 100,000 reviews costs $200-300. For high-volume, recurring extraction, a subscription-based tool may be more economical.
• ✓No review monitoring: Outscraper is a point-in-time extraction tool, not a monitoring platform. You get a snapshot of reviews, not ongoing tracking.

Pricing:

• ✓Pay-as-you-go: ~$2-3 per 1,000 results (varies by scraping task)
• ✓Subscription plans available for higher-volume users with additional features

Best for:

Data analysts and developers who need API-level control for Google Play review extraction and prefer pay-per-result pricing over monthly subscriptions. If you are already using Outscraper for Google Maps review scraping, adding Google Play reviews to your workflow is seamless. See our Outscraper alternative comparison for more context.

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5. AppBot

What it is: A review analytics platform designed for mobile app teams. AppBot aggregates reviews from both the iOS App Store and Google Play Store (plus Amazon Appstore and Mac App Store), then applies sentiment analysis, topic tagging, and trend detection to help teams understand what users are saying at scale.

AppBot differentiates itself from raw scraping tools by focusing on the analysis layer. Instead of just giving you a CSV of reviews, it provides dashboards, word clouds, sentiment timelines, and automated alerts. You can still export raw review data, but the platform's value is in the structured analysis it layers on top.

Strengths:

• ✓Sentiment analysis built-in: Automatic sentiment scoring and topic categorization for every review. See at a glance which topics drive positive vs. negative sentiment.
• ✓Multi-store coverage: iOS App Store, Google Play, Amazon Appstore, and Mac App Store in one dashboard.
• ✓Team collaboration: Share dashboards, assign reviews to team members, and integrate with Slack for review alerts.
• ✓Historical data: AppBot backfills historical reviews when you first connect an app, giving you trend data from day one.
• ✓Export capabilities: Export reviews to CSV or integrate with tools like Zendesk and Intercom for support workflows.

Limitations:

• ✓Analytics-focused, not scraping-focused: If you just need raw review data in a CSV, AppBot's analytics features are overhead you are paying for but not using.
• ✓Pricing scales with app count: Costs increase as you add more apps to monitor. Tracking a large portfolio of competitor apps gets expensive quickly.
• ✓Limited to app stores: No support for web review platforms like Amazon product reviews or YouTube comments. For multi-platform research, you need additional tools.
• ✓No API for raw data extraction: The platform is designed around its own dashboards and analytics. Programmatic access to raw review data is limited compared to API-first tools like Apify or Outscraper.

Pricing:

• ✓Starter: $49/month (1 app, basic analytics)
• ✓Growth: $99/month (5 apps, advanced analytics)
• ✓Business: $249/month (25 apps, team features, integrations)

Best for:

Product teams at mid-to-large app companies that want ongoing sentiment analytics and team workflow features around app reviews. If your primary need is understanding review trends rather than raw data extraction, AppBot provides the most polished analysis layer. For researchers who need raw CSV exports across multiple platforms, a no-code review scraper is more efficient.

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6. google-play-scraper (Open-Source Libraries)

What it is: Open-source libraries available for both Python (google-play-scraper) and Node.js (google-play-scraper on npm) that let developers programmatically extract Google Play Store reviews. For iOS, the app-store-scraper npm package provides similar functionality for Apple App Store reviews. These are code-level tools -- you write scripts that call the library functions, and the libraries handle the HTTP requests and HTML parsing.

This is the most flexible option but also the most technical. You have full control over what to extract, how to filter, and where to store the data. There are no usage limits, no subscription fees, and no rate limiting built in (which means you need to handle that yourself).

Strengths:

• ✓Completely free: Open-source, no licensing fees, no per-request costs. The only expense is your time and server resources.
• ✓Full control: Define exactly which fields to extract, how to filter reviews, and where to store results. Build custom analysis pipelines tailored to your specific needs.
• ✓Both platforms covered: google-play-scraper for Google Play, app-store-scraper for iOS. Both support review extraction with filtering by country, language, and sort order.
• ✓Integration-ready: Output directly to databases, CSV files, or analysis tools. Combine with libraries like Pandas for data analysis or NLTK for sentiment analysis.
• ✓No usage limits: Extract as many reviews as you need (subject to platform rate limits that you manage yourself).

Limitations:

• ✓Coding required: You need to know Python or JavaScript to use these libraries. There is no GUI, no dashboard, and no visual configuration.
• ✓Maintenance burden: When Apple or Google changes their page structure or API endpoints, the libraries may break until maintainers push updates. You depend on open-source contributors for ongoing compatibility.
• ✓No built-in rate limiting: You are responsible for implementing appropriate delays between requests. Aggressive scraping can result in IP blocks.
• ✓No analysis features: These are pure extraction tools. Sentiment analysis, trend detection, and visualization require separate libraries and additional code.
• ✓Setup time: Even for experienced developers, setting up a working scraping pipeline takes hours compared to minutes with a Chrome extension or SaaS tool.

Pricing:

• ✓Free: Open-source (MIT license)

Best for:

Developers and data scientists who want maximum control over app review extraction and are comfortable writing and maintaining code. If you are already building a data pipeline in Python or Node.js, these libraries slot in naturally. For everyone else, the development time and maintenance effort outweigh the cost savings compared to a paid tool that works out of the box. For context on code-free alternatives, read our best comment exporters roundup.

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Detailed Feature Comparison

Here is a head-to-head comparison across key criteria that matter when choosing an app store review scraper:

Which Tool Should You Choose?

Your choice comes down to four factors: how often you scrape app reviews, whether you need monitoring versus one-off exports, whether you need other platforms too, and your technical comfort level. Here is the decision framework:

• ✓If you also need feedback outside the app stores: Use Comment Exporter for Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. App store extraction still requires one of the dedicated tools below.
• ✓If you need continuous review monitoring and response management: Use AppFollow. Its real-time alerts, sentiment analysis, and developer response features make it the strongest platform for teams where app reviews are a core operational concern. The higher price ($111+/month) reflects the depth of features beyond simple extraction.
• ✓If you need API-driven, high-volume extraction for data pipelines: Use Apify. Its cloud actors for both App Store and Google Play integrate into automated workflows, and the credit-based pricing scales with your usage. Best for teams that already have technical infrastructure for data processing.
• ✓If you want pay-per-result pricing without a subscription: Use Outscraper. Pay only for the reviews you extract (~$2-3 per 1,000), making it ideal for occasional research projects or one-off competitive analyses.
• ✓If you want built-in analytics and sentiment dashboards: Use AppBot. Its analysis layer turns raw reviews into actionable insights without requiring you to export and process data separately.
• ✓If you are a developer who wants maximum control and zero cost: Use the open-source libraries. Full flexibility, no fees, but requires coding skills and ongoing maintenance.

"The mobile app teams that win are the ones that systematize their review analysis. It is not enough to read reviews occasionally -- you need structured data flowing into your product decision process continuously."

-- Shane Barker, Founder of TraceFuse.ai

For app store reviews, choose a dedicated option such as AppFollow, Apify, Outscraper, AppBot, or an open-source library based on your workflow. Comment Exporter complements those tools by covering the other platforms where users discuss your app, including Reddit threads, YouTube videos, Amazon listings, and eight more supported sources.

As one researcher put it: "I exported 2,000 Reddit comments and loaded them straight into my research pipeline." -- Pendo Kessam. That workflow applies to Comment Exporter's supported platforms, not app stores.

What Data Fields Can You Extract from App Store Reviews?

iOS App Store and Google Play Store reviews contain overlapping but distinct data fields. Here is what you can expect from a comprehensive app store review scraper:

The differences between the two stores matter for analysis. iOS review titles provide a quick sentiment signal that Google Play reviews lack. Google Play's thumbs-up counts help identify the most impactful reviews without reading every one. App version data on both platforms enables you to track how specific releases affect user sentiment -- essential for review analysis workflows that tie feedback to product changes.

How to Export App Store Reviews

Comment Exporter does not support the iOS App Store or Google Play. Use a dedicated app store tool and follow this general workflow instead.

1. ✓Choose a supported tool: Use AppFollow, Apify, Outscraper, AppBot, or an open-source library from the comparison above.
2. ✓Identify the app: Copy the listing URL or app ID from the Apple App Store or Google Play Store.
3. ✓Configure the export: Enter the URL or ID and set any available country, language, date, or review-count filters.
4. ✓Choose your format: Select CSV for spreadsheet analysis or JSON for developer workflows.
5. ✓Download your file: Run the export and download the available star ratings, review text, reviewer names, dates, and app-version data.
6. ✓Analyze in your preferred tool: Open the CSV in Excel, Google Sheets, or any data analysis tool. The columns are pre-labeled and the data is analysis-ready with no cleanup needed.

For a more detailed walkthrough covering both iOS and Google Play scraping methods, read our full guide to scraping app store reviews. If you want to analyze the exported data with AI, see our guide to analyzing reviews with Claude.

iOS App Store vs. Google Play Store: Scraping Differences

The two major app stores present different challenges for review scraping. Understanding these differences helps you choose the right tool and set realistic expectations for your exports:

• ✓Page structure: Google Play renders reviews dynamically with infinite scroll, which means scrapers need to handle JavaScript rendering and scroll simulation. The iOS App Store web interface (apps.apple.com) uses a more traditional paginated layout that is simpler for browser-based tools to parse.
• ✓API availability: Apple offers the App Store Connect API for developers to access reviews of their own apps programmatically. Google Play provides a similar developer API through Google Play Console. Neither API allows scraping reviews for competitor apps -- that requires a third-party tool.
• ✓Review volume: Google Play generally has more reviews per app than the iOS App Store, partly due to Android's larger global market share and Google's more aggressive review prompting. Plan your scraping capacity accordingly.
• ✓Data fields: As shown in the comparison table above, the stores expose different metadata. iOS includes review titles; Google Play includes thumbs-up counts and device information. A good app store review scraper captures the platform-specific fields for each store.
• ✓Regional segmentation: iOS App Store reviews are segmented by country storefront -- you see different reviews depending on which country's App Store you access. Google Play reviews can be filtered by language but are not as strictly segmented by region. This affects how you approach multi-market analysis.

Tools like AppFollow and AppBot handle these differences transparently -- you connect an app and they pull reviews from both stores into a unified dashboard. Comment Exporter does not support either app store. For programmatic approaches, you will need separate libraries or actors for each store.

Frequently Asked Questions

Is it legal to scrape app store reviews?

Scraping publicly visible app reviews for personal research, competitor analysis, or product improvement is a common practice across the mobile industry. However, both Apple and Google have Terms of Service that restrict automated data collection from their platforms. Tools that use official APIs (like Apple's App Store Connect API or Google Play Developer API) operate within sanctioned frameworks. Chrome extensions that extract data from pages you are actively browsing work differently from bots that crawl app stores at scale. For commercial use or high-volume scraping, review each platform's current policies and consult legal counsel. The distinction between manually browsing and clicking an export button versus deploying automated crawlers matters both legally and practically.

Can I export app store reviews to CSV or Excel?

Yes. AppFollow, Apify, and Outscraper support CSV export, which opens in Excel or Google Sheets without conversion. Some tools additionally offer JSON and Excel (.xlsx) formats. Comment Exporter does not support app stores. Neither Apple nor Google provides a native bulk review export feature beyond their developer consoles, so a third-party tool is required for structured exports at scale. For a complete walkthrough, see our guide on how to scrape app store reviews.

What is the best free app store review scraper?

The open-source google-play-scraper (Python/npm) and app-store-scraper (npm) libraries are the strongest fully free options -- no limits, no account required, no subscription. The trade-off is that they require coding skills and ongoing maintenance. Apify offers a free tier with $5 of monthly credits, enough for small test runs. Comment Exporter's free tier applies only to Reddit, not app stores. See our guide on voice of customer tools for more options.

Conclusion

The app store review scraper landscape in 2026 ranges from free open-source libraries to $249/month analytics platforms. The right choice is not the most feature-rich tool -- it is the one that matches your actual needs without adding unnecessary complexity or cost.

If you need continuous app review monitoring and sentiment analytics, AppFollow or AppBot provide dedicated platforms with real-time tracking. If you are building automated data pipelines, Apify's cloud actors or Outscraper's API give you programmatic control. If you are a developer who wants maximum flexibility at zero cost, open-source libraries deliver that -- with the corresponding maintenance burden. Comment Exporter is a companion for feedback from its 11 supported platforms, not an app store scraper.

Whatever you choose, the goal is the same: turn app store review pages into structured, analyzable data that helps you build better products, understand your competitors, and respond to users faster. The tools exist. The data is public. The only question is how much time and money you want to spend getting it into a format you can act on.

Follow the app store review export guide to choose a supported method for iOS App Store or Google Play data.