Competitive intelligence that’s actually live.
Quarterly reports tell you what happened. Ujeebu’s APIs fetch what is on the web right now (reviews, forums, competitor sites) as structured data, so you can build research pipelines that keep up with the market.
Why traditional market research falls short.
Expensive, slow and stale by the time the deck lands. The web has the answers now, if you can pull them out.
Trends form in niche forums and discussions weeks before they hit your quarterly tracker. Without automation, you’re always late.
Reviews, tickets, forums and social posts add up to thousands of customer voices nobody has time to read. Pain points hide in the volume.
Manual competitor tracking misses feature launches, pricing tweaks, and positioning shifts until they show up in lost deals.
By the time NPS surveys flag a problem, it’s already cost you customers. Reading reviews and forums as they appear catches it earlier.
How research teams use it.
Read 10,000 reviews. Get answers in minutes.
Pull reviews from Amazon, G2, Capterra, TripAdvisor and app stores as structured data. Pass the text to your own model or LLM to group it by topic and sentiment: quality, support, feature requests, pricing.
- Thousands of reviews as structured data in minutes
- Topic and sentiment grouping with the model you choose
- Common complaints found before they drive returns
- Targeted product fixes backed by customer language
Competitive matrices you can keep current.
Scrape competitor product pages, docs and pricing tiers on your own schedule. Compare each run with the last to spot feature launches and spec changes, and keep battle cards up to date.
- Battle cards refreshed from live pages
- Feature gaps spotted from page changes
- Sharper positioning against competitors
- Faster strategic planning with current intel
Follow the conversation in your category.
Collect public discussions from Reddit, industry forums and niche communities about your brand, competitors and category. Score sentiment with your own model and catch reputation issues earlier.
- Reputation issues spotted earlier
- Emerging trends before mainstream awareness
- Wider coverage of relevant conversations
- Early warning signals for crisis management
Find unmet needs in your category.
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.
- Product-market fit signals from real customer language
- Lower new-product risk with validated pain points
- Messaging that resonates because it quotes customers
- Positioning led by real pain points
Gather intelligence from the platforms that matter.
Reviews, forums, social, app stores, e-commerce: wherever your category lives, the Scrape API can fetch it, with JavaScript rendering and premium proxies built in.
Review text, ratings, verified-purchase flags and reviewer names across competitor products.
B2B SaaS reviews with reviewer role and company size, feature ratings and likelihood-to-recommend.
Hotel and restaurant reviews with category ratings (room, service, value) for hospitality analysis.
Unfiltered discussions, recommendation threads, troubleshooting. Authentic perspectives without marketing varnish.
Specialist communities where your buyers actually live. Technical discussions and product recommendations.
Apple App Store and Google Play reviews. Version-specific feedback and rating trends.
Competitor product pages and user reviews. Spec tables, pricing tiers, customer language.
Launch comments and early-adopter feedback. See how competitors launch in the tech community.
Three steps to your own research pipeline.
Choose your sources
List the platforms, competitors, products and topics to cover. Write extract_rules for the review, rating and spec fields you need, or use the Extract API for articles.
Collect on your schedule
Your own scheduler calls the API: daily for reviews, weekly for forum scans and competitor sites. The API handles proxies, JavaScript rendering and dynamic content.
Analyse and report
Store the JSON in your warehouse or BI tool. Run sentiment, topic and trend analysis with your own models, and build the dashboards and alerts your team needs.
Pull a product review feed.
Drop in any review-bearing URL and see structured review data (titles, ratings and review text) come back, ready for your analysis pipeline.
curl 'https://api.ujeebu.com/scrape' \
-H 'ApiKey: YOUR_API_KEY' \
--data-urlencode 'url=https://www.amazon.com/Sony-WH-1000XM5-Cancelling-Headphones/dp/B09XS7JWHH' \
--data-urlencode 'extract_rules={"title":"h1","rating":".rating","reviews":".review-text"}' \
--data-urlencode 'proxy_type=premium'Built for live competitive intel.
Review extraction
Review text, rating, date, reviewer and verified-purchase flag as JSON, ready for the sentiment model or LLM of your choice.
Rating data
Average ratings, distributions and review counts from each platform. Store them per run to see shifts after product updates or campaigns.
Spec comparison
Extract spec tables from competitor pages and build comparison matrices. Compare runs to see what changed.
Forum and news coverage
Collect discussions with the Scrape API and articles with the Extract API, then measure volume and mentions in your own analysis.
Regional markets
Choose the proxy country to see regional sites such as Amazon.de or Amazon.co.jp. Extraction works in any language.
Clean JSON for reports
One structured format across sources, easy to load into spreadsheets, BI tools or the reports you send stakeholders.
Frequently asked.
Is web scraping for market research legal?
How accurate is sentiment analysis?
How fresh is the data?
Can you handle international markets?
How do you detect fake reviews?
What export formats?
Start automating competitive intel today.
Join research and strategy teams that build competitive intelligence on live web data from Ujeebu.