How do I extract reviews from G2 using the Chrome extension?

Simply install our G2 Review Extractor Chrome extension, visit any G2 product page, click the extension icon, and select your export format (CSV or Excel). The extension will automatically extract all visible reviews with ratings, dates, and reviewer information.

Can I extract reviews from Trustpilot with the Chrome extension?

Yes! Our Trustpilot Review Extractor Chrome extension works on any Trustpilot business page. Just install the extension, navigate to the business page you want to analyze, and click the extension to export all reviews to CSV or Excel format.

What data is included in the exported reviews?

Our Chrome extensions extract comprehensive review data including: star ratings, review text, review dates, reviewer names, reviewer titles, company information, and helpfulness scores. All data is exported in a clean CSV or Excel format ready for analysis.

How many reviews can I extract at once?

Our Chrome extensions can extract thousands of reviews in a single operation. The exact number depends on the platform and page structure, but we've successfully extracted over 10,000 reviews from a single G2 product page in under 5 minutes.

Do I need any technical knowledge to use these Chrome extensions?

No technical knowledge required! Our Chrome extensions are designed for business users, market researchers, and data analysts. Simply install the extension, visit the review page, and click one button to export all reviews. No coding or technical setup needed.

Competitor Analysis with Reviews: Complete Guide + 8 Data Mining Strategies

TL;DR

• Customer reviews are the cheapest, fastest way to find competitor weaknesses and what users truly value.
• Use our Chrome extensions to export reviews from G2, Capterra, Trustpilot, Google Play, Shopify, SourceForge, and more—in seconds.
• Analyze with AI-powered insights (pain points, themes, opportunities) or use the quick spreadsheet/Python templates below.
• Prioritize fixes and features with the FAST framework (Frequency, Affected segment, Severity, Time-to-fix).
• Ship quick wins, position against competitor gaps, and repeat monthly.

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Why reviews are your unfair advantage

Unfiltered reality

Reviews capture real usage, not sales pitches.

Comparable across competitors

Same structure (rating, date, text) → easy benchmarking.

Fresh signal

New reviews = live market feedback.

Breadth of context

Everything from onboarding to support, pricing, and feature gaps shows up.

Where to mine reviews (and what each source is best for)

G2 /Capterra /Software Advice /SoftwareSuggest /TrustRadius /FinancesOnline

B2B SaaS depth: deployment, integrations, support expectations, procurement blockers.

Trustpilot

Brand & support sentiment: agencies and SMB services.

Google Play

Mobile app issues: device/version bugs, release-specific feedback.

Shopify App Store

Merchants' needs: ROI talk, conversion impact, support responsiveness.

Amazon /Etsy

Products or integrations: usability, quality, logistics, packaging, and expectations.

SourceForge

Open-source and dev tools: performance, setup friction, docs quality.

The fastest workflow (using Reviews Exporter)

1
Open a competitor's listing
e.g., G2 product page and switch to the Reviews tab.
2
Apply filters you care about
Most recent, star rating, version, device, industry.
3
Scroll/expand to load visible reviews
4
Click the extension → choose CSV or Excel → Export
5
Repeat across competitors/platforms
6
Merge files
Add columns: competitor, source, collected_at.

✓ All processing runs locally in your browser. No account required.

What to extract (minimum viable dataset)

Core fields

Rating (1–5), date, title, body, reviewer name (or role), review URL.

Context (when present)

Industry, company size, user role, time-used, frequency, app version, device/OS, country.

The Gold Mine: What Data Can Actually Be Extracted from SaaS Reviews

Review data is far richer than simple star ratings. Here's the comprehensive breakdown of what you can mine from competitor reviews to build a data-driven product strategy:

Feature Requests & Product Gaps

The most actionable intelligence: what users desperately want but aren't getting.

What to extract:

▸Missing integrations: "Wish it connected to Salesforce/Slack/HubSpot"
▸Workflow gaps: "Can't bulk edit," "No templates," "Missing automation for X"
▸Role-based needs: "Admins need audit logs," "Editors want version history"
▸Platform limitations: "No mobile app," "Desktop version is clunky," "No offline mode"
▸Export/import needs: "Can't export to PDF," "Import from X is broken"

💡 REAL EXAMPLE:

A project management SaaS found 47% of competitor reviews mentioned "no native time tracking." They built it in 3 weeks, positioned it heavily in marketing, and saw 23% conversion lift from that segment.

Integration & Ecosystem Intelligence

B2B buyers live in ecosystems. Reviews reveal which tools they actually use together.

What to mine:

▸Integration satisfaction: "Slack integration is flaky," "Zapier connection breaks weekly"
▸Workflow dependencies: "Use it alongside Notion and Figma," "Perfect with our Jira setup"
▸Data sync issues: "Takes hours to sync with X," "API rate limits cause delays"
▸Missing partners: "Needs Shopify integration," "Should connect to QuickBooks"

📊 HOW TO USE IT:

Build an "integration co-mention matrix" → which tools appear together in reviews? Prioritize integrations with highest co-occurrence in your ICP segment.

Example: "Salesforce + Slack" mentioned in 34 reviews → high-priority integration path

Pricing, Packaging & Value Perception

Where competitors are bleeding revenue or locking out customers.

Extract these signals:

▸Perceived value: "Too expensive for what it does," "Worth every penny," "Cheaper alternatives exist"
▸Feature-gating complaints: "Basic features locked in Enterprise," "Per-seat pricing is ridiculous"
▸Billing friction: "Annual contract only," "Hidden fees," "Surprise overage charges"
▸Tier misalignment: "Need just one feature from Pro," "Starter is too limited"
▸Competitor comparisons: "Half the cost of X," "More expensive than Y but worth it"

💡 TACTICAL PLAY:

Find features that competitors gate at Enterprise but users want at lower tiers. Offer them at your mid-tier = instant differentiation. Example: "Unlimited API calls" mentioned in 28% of competitor's negative reviews → we made it standard at Pro level.

UX Friction Points & Usability Barriers

The small annoyances that compound into churn.

Key patterns to identify:

▸Navigation confusion: "Can't find settings," "Too many clicks to X," "Search is terrible"
▸Learning curve: "Took weeks to onboard team," "Steep learning curve," "Needs better tutorials"
▸Mobile experience: "Mobile app is unusable," "Desktop-only features are critical for us"
▸Performance issues: "Slow to load," "Lags with large datasets," "Crashes on Chrome"
▸Design complaints: "Looks outdated," "UI is cluttered," "Not intuitive"

🎯 POSITIONING OPPORTUNITY:

If competitor reviews say "powerful but complex," position yourself as "equally powerful, 10x simpler." Create comparison content showing your 3-click workflow vs their 12-click equivalent.

Support Quality & Customer Success Signals

Support quality often tips buying decisions in competitive SaaS markets.

What to track:

▸Response times: "Support takes days," "Live chat is amazing," "Email-only is frustrating"
▸Knowledge gaps: "Support doesn't understand the product," "Had to explain my issue 3 times"
▸Documentation quality: "Docs are outdated," "Great video tutorials," "No API examples"
▸Onboarding experience: "CSM was a game-changer," "Left to figure it out alone," "Setup was confusing"
▸Tier restrictions: "Chat only for Enterprise," "Priority support feels slow"

💡 COMPETITIVE ADVANTAGE:

If competitor reviews show "support is slow" (18+ mentions), make "average 2-hour response time" a hero metric in your marketing. Display real-time support stats on your homepage.

Security, Compliance & Enterprise Requirements

Deal-breakers for enterprise buyers that smaller competitors often miss.

Critical signals:

▸Compliance gaps: "No SOC 2," "GDPR compliance is unclear," "Need HIPAA but not available"
▸Security features: "No SSO," "2FA is clunky," "Need SAML authentication"
▸Access controls: "Permissions are too coarse," "Need role-based access," "No audit logs"
▸Data residency: "Need EU data hosting," "Can't use due to data sovereignty"
▸Enterprise features: "No white-labeling," "Need on-premise option," "Custom contract required"

💰 UPMARKET PLAY:

Count how many reviews mention "can't use because no SOC 2" or similar blockers. If it's 10+ mentions = there's market demand. Getting certified could unlock entire segments.

Industry-Specific & Vertical Requirements

Niche needs that unlock entire verticals if addressed.

Mine for:

▸Vertical workflows: "Doesn't fit agency workflows," "Perfect for e-commerce," "Built for manufacturing"
▸Industry terminology: "Uses generic terms, not healthcare-specific," "Speaks our language"
▸Scale requirements: "Can't handle 10K+ SKUs," "Great for small teams, not enterprise"
▸Regional needs: "No multi-currency," "Missing localization for X market," "Time zones are problematic"

🎯 VERTICALIZATION STRATEGY:

If you see "doesn't work for [industry]" repeated across reviews, that's a greenfield opportunity. Example: "Not built for real estate" appeared 23 times → create industry-specific templates, terminology, and landing pages. Instant vertical capture.

Migration Pain Points & Lock-in Factors

Understand what keeps users stuck (or what makes them leave).

Look for:

▸Export limitations: "Can't bulk export data," "Export format is proprietary," "Missing historical data"
▸Migration difficulty: "Switching would be a nightmare," "Stuck due to integration depth"
▸Contract lock-in: "Annual contracts trap you," "Cancellation is difficult," "No prorated refunds"
▸Switching motivators: "Migrated from X because...," "Considering alternatives"

🚀 GROWTH HACK:

Build "migration from [Competitor]" landing pages for each tool with high switching pain. Offer free white-glove migration service if reviews mention "data export is painful." This converted at 3.2x our normal rate for one competitor.

Analysis: from raw text to decisions

1) Identify pain points (and bright spots)

Look for terms like crash,bug,slow,confusing,missing,expensive, andwish/hope/would like.

Also capture praise: easy,fast,responsive,intuitive,reliable.

Aspect buckets (map phrases into these)

Onboarding & Setup
Performance & Reliability
Usability & UX
Features & Integrations
Support & Documentation
Pricing & Contracts
Security & Compliance

💡 Our AI Analytics does aspect-based sentiment automatically. Prefer manual? Use the spreadsheet/Python snippets below.

2) Quantify frequency & severity

•
Frequency: how often a theme appears per 100 reviews.
•
Severity: 1–3 based on language strength (e.g., "critical bug" > "minor annoyance").
•
Segment impact: which users (industry, company size, device) are affected.

3) Spot trends over time

→Are new releases causing spikes in crashes?
→Did pricing changes correlate with negative sentiment?
→Are specific industries consistently unhappy with features or support?

4) Extract "market gaps"

Scan for requests competitors don't fulfill:

💬"We wish it had ___"
💬"No native integration with ___"
💬"Missing role-based permissions"
💬"API docs are poor / rate limits too strict"

These become positioning angles and feature bets.

Prioritization: the FAST framework

Score each theme 1–5 on:

Frequency

How often it shows up

Affected segment

How valuable the segment is to you

Severity

Impact on outcomes: adoption, retention, revenue

Time-to-fix

Shorter time = higher score for quick wins

FAST Score = F + A + S + T

≥ 15
Now (quick wins or headline features)
10–14
Next (roadmap items)
≤ 9
Later (park; validate with more data)

Ready to turn competitor reviews into your roadmap?

Our platform offers both data extraction (via Chrome extensions for 10+ platforms) and AI-powered analysis that automatically identifies pain points, sentiment trends, and feature gaps.

Get All Extensions — Save 40%Try AI Analytics

FAQ

Which platforms can I extract reviews from?

We support G2, Capterra, Trustpilot, Google Play, Shopify App Store, Amazon, Etsy, SourceForge, Software Advice, SoftwareSuggest, TrustRadius, and FinancesOnline. Each has a dedicated Chrome extension.

How long does it take to extract reviews?

Typically 30–120 seconds for hundreds of reviews. The extension works locally in your browser, so there's no server processing delay.

Can I analyze the data automatically?

Yes! Our AI Analytics feature automatically categorizes reviews by aspect (features, support, pricing, etc.), detects sentiment, identifies pain points, and highlights opportunities. You can also export to Excel/CSV and use your own analysis tools.

Is this allowed by the review platforms?

You must follow each platform's Terms of Use. Export for your legitimate business needs (research, analysis, reporting) and respect any applicable policies.

How often should I repeat this process?

We recommend monthly exports for active competitors to catch new trends, release-specific feedback, and evolving pain points. Set reminders and build it into your product review cycle.