Catch sentiment shifts before they cost you

With reviews and opinions scattered across thousands of pages, teams struggle to spot sentiment shifts fast enough to act. Automate the collection — reviews, news, and community posts — and analyze it all in one place.

From scattered opinions to one signal

Sentiment work starts with collection. Hyperscrape automates it across the sources your customers actually use.

Review aggregation

Pull product and business reviews at scale across platforms.

News coverage

Collect articles mentioning your brand, market, or competitors.

Community voice

Capture unfiltered discussion from Reddit and Hacker News.

LLM-ready output

Structured text ready to score with any sentiment model.

Continuous monitoring

Scheduled runs keep the signal current, not quarterly.

Early warning

Spot negative shifts while there's still time to respond.

How it works

An automated pipeline, tailored to your needs, in five steps.

01

Choose your sources

Review sites, news, communities — wherever opinions live.

02

Collect on schedule

Fresh text flows in daily without manual pulls.

03

Score sentiment

Run any model over clean, structured text.

04

Track the trend

Watch sentiment move by product, region, or campaign.

05

Act early

Route emerging issues to the team that can fix them.

Where sentiment data pays off

Any team whose next quarter depends on what customers are saying now.

E-commerce

Watch review sentiment across your catalog and rivals'.

Hospitality

Monitor ratings across booking and review platforms.

Consumer brands

Track perception through launches and campaigns.

Finance

Read market mood from news and community chatter.

Product teams

Mine feedback for the features users actually want.

Agencies

Deliver reputation dashboards on live data.

Hear the shift before it hurts

Automate your first sentiment pipeline with free credit. Just $0.005 per scrape after your free credit.

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