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Use case · Market research

Competitive intelligence that’s actually live.

Quarterly reports tell you what happened. Automated scraping tells you what’s happening — across reviews, forums, social, and competitor sites — so you act before the market moves on without you.

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The challenge

Why traditional market research falls short.

Expensive, slow, and stale by the time the deck lands. The web has the answers in real time — if you can pull them out.

Missed trend signals

Trends form in niche forums and discussions weeks before they hit your quarterly tracker. Without automation, you’re always late.

Scattered feedback

Reviews + tickets + forums + social = thousands of customer voices nobody has time to read. Pain points hide in the volume.

Competitor blindness

Manual competitor tracking misses feature launches, pricing tweaks, and positioning shifts until they show up in lost deals.

Sentiment lag

By the time NPS surveys flag a problem, it’s already cost you customers. Real-time sentiment tracking catches it earlier.

Use cases

How research teams use it.

Review analysis

Read 10,000 reviews. Get answers in minutes.

Pull reviews from Amazon, G2, Capterra, TripAdvisor, app stores. Categorise by topic and sentiment — quality, support, feature requests, pricing — so you see exactly what customers value and where you’re falling short.

Business outcomes
  • 40% faster identification of product improvement opportunities
  • 10,000+ reviews analysed in minutes vs weeks
  • Lower returns by addressing common complaints first
  • Improve rating by 0.5–1.0 stars with targeted fixes
Feature comparison

Always-current competitive matrices.

Monitor competitor product pages, docs, and pricing tiers. Track feature launches and spec changes the day they ship. Battle cards stay current automatically — no quarterly refresh needed.

Business outcomes
  • Always-fresh competitive battlecards
  • Spot feature gaps and opportunities within 24h
  • 20–30% higher win rates from better positioning
  • Faster strategic planning with live competitive intel
Sentiment tracking

Watch market mood in real time.

Reddit, Twitter/X, industry forums, niche communities. Track conversations about your brand, competitors, and category. Catch reputation issues 2–3 weeks before they become traditional-monitoring incidents.

Business outcomes
  • Detect reputation issues 2–3 weeks earlier
  • Spot emerging trends before mainstream awareness
  • Coverage from 10% to 95% of relevant conversations
  • Proactive crisis management with early warning signals
Pain points

Find unmet needs in your category.

Systematically extract complaints, frustrations, and feature requests from reviews and support forums. Map recurring pain points to product opportunities — for your roadmap, your messaging, or your next launch.

Business outcomes
  • Product-market fit signals from real customer language
  • Reduce new-product failure risk with validated pain points
  • Messaging that resonates because it quotes them
  • 25–40% conversion lift from pain-point-led positioning
Sources

Gather intelligence from the platforms that matter.

Reviews, forums, social, app stores, e-commerce — wherever your category lives, we can pull from it.

Amazon reviews

Review text, ratings, verified-purchase flags, reviewer profiles. Sentiment at scale across competitor products.

G2 / Capterra

B2B SaaS reviews with role + company-size filters. Feature ratings, likelihood-to-recommend, persona segmentation.

TripAdvisor

Hotel + restaurant reviews with category ratings (room, service, value). Travel + hospitality competitive analysis.

Reddit

Unfiltered discussions, recommendation threads, troubleshooting. Authentic perspectives without marketing varnish.

Industry forums

Specialist communities where your buyers actually live. Technical discussions and product recommendations.

App stores

Apple App Store + Google Play reviews. Version-specific feedback, star trends, mobile-app benchmarking.

E-commerce sites

Competitor product pages + user-generated reviews. Spec tables, pricing tiers, customer language.

Product Hunt

Launch sentiment + early-adopter feedback. Track competitor launch strategies in the tech community.

Start researching No credit card required.
How it works

Three steps to automated competitive intel.

1

Configure your sources

Specify the platforms, competitors, products, and topics to monitor. Use pre-built templates for Amazon, G2, Reddit, TripAdvisor — or define custom selectors for any site.

2

Schedule continuous collection

Daily for reviews, weekly for forum scans, real-time for social. We handle anti-bot, JS rendering, pagination, dynamic content — you handle the strategy.

3

Analyse and report

Dashboards with sentiment trends, competitive positioning, pain-point analysis. Webhook alerts on significant events. Export to BI or CSV/JSON.

Try it

Pull a product review feed.

Drop in any review-bearing URL and see what comes back. Sentiment, topic categorisation, and pull-quotes ready to ship into a dashboard.

curl 'https://api.ujeebu.com/ai-scraper' \
  -H 'ApiKey: YOUR_API_KEY' \
  -d '{
    "url": "https://www.amazon.com/Sony-WH-1000XM5-Cancelling-Headphones/dp/B09XS7JWHH",
    "prompt": "extract product title, average rating, top 10 reviews with rating + sentiment (positive/negative/neutral) + topics (quality/price/service/features)"
  }'
No API key required for testing in the playground. Powered by /ai-scraper
Features

Built for live competitive intel.

Sentiment analysis

Topic-aware sentiment per review with confidence scores. Track sentiment trends and compare against competitors.

Rating aggregation

Average ratings, distributions, review counts across platforms. Watch rating shifts after product updates or campaigns.

Spec comparison

Auto-build comparison matrices from competitor pages. Track spec changes over time as competitors evolve product.

Trend identification

Discussion volume + mention frequency + sentiment velocity. Spot emerging trends before they reach mainstream awareness.

Competitor monitoring

Full surveillance across digital touchpoints. Alerts on competitor launches, pricing changes, notable reviews.

Report automation

Scheduled exec summaries + deep-dive reports. PDF / PowerPoint / Excel. Delivered to email or Slack on cadence.

FAQ

Frequently asked.

Is web scraping for market research legal?
Collecting publicly available reviews, specs, and discussions for competitive intelligence is a standard business practice — courts have generally upheld that public data is fair game (hiQ v. LinkedIn, 2022). We follow rate limits, legitimate user agents, robots.txt. Review the target site’s terms and applicable laws (GDPR, CCPA) — most major platforms expect competitive monitoring as standard.
How accurate is sentiment analysis?
85–95% on clearly-polarised content. We use context-aware language models trained on review data. Confidence scores let you filter for high-certainty results when precision matters. Pairing sentiment with topic categorisation gives you actionable insight even on mixed-sentiment reviews.
How fresh is the data?
Configurable per source — every 15 min through monthly. Hourly for fast-moving platforms, daily for Amazon/G2/TripAdvisor reviews, weekly for competitor websites, monthly for comprehensive audits. Webhooks fire within minutes on real-time-monitored sources.
Can you handle international markets?
50+ languages supported. Multi-byte characters, RTL languages, regional platforms (Amazon.de, .co.jp, .fr). Sentiment + topic categorisation strongest in English/Spanish/French/German where training data is densest.
How do you detect fake reviews?
Multiple signals: reviewer-account patterns (created same day, single review, generic username), content characteristics (excessive keywords, templated phrasing), timing anomalies (large simultaneous clusters), verified-purchase flags. Authenticity confidence scores let you filter by quality threshold.
What export formats?
CSV, JSON, XML, direct exports to S3/GCS/Azure Blob. API for Tableau/Power BI/Looker. Webhooks for real-time streaming. Scheduled PDF/PowerPoint reports for stakeholder distribution.
5,000 free credits to start.
No credit card. Failed requests cost zero.
Start free

Start automating competitive intel today.

Join research and strategy teams using Ujeebu to outmaneuver their competition with live web data.

No credit card required.