# Market research data

> Reviews, forums, news, listings, and social, gathered across the open web and normalized into one research dataset. The market, structured.

## The whole market is talking.

Reviews, forums, news, listings, and social. Gathered across the open web and normalized into one research dataset.

Illustrative · 1,240 mentions · 6 sources · today

## Every shape of page. One row.

A star rating, a forum rant, a headline, a listing. Hover a source, see it land in the same schema.

- Trustpilot review ★★★★☆ “Shipping was slow but…”

- Reddit thread “honestly the best I've tried”

- News headline “Acme raises $40M to expand…”

- Product listing Launched · 3 days ago

{ "entity" : "Acme" , "source" : "trustpilot" , "rating" : 4.0 , "sentiment" : 0.62 , "date" : "2026-06-29" } Who owns the conversation? Every mention counted, per brand, so share of voice is a number, not a hunch.

Illustrative. Your dataset, your brands, your market.

## Every source. Every market. Every language.

- Any source type Reviews, forums, news, marketplaces, social, directories.

- Global & multilingual The market as it reads locally, in its own language.

- Protected sources Behind logins, rate limits, and anti-bot, returned clean.

- On your schedule Re-run it whenever you need a refresh, not a one-off pull.

## One dataset. Many questions.

The same normalized feed answers the work next door.

## Stop reading the market. Query it.

_Canonical HTML: https://www.zenrows.com/solutions/market-research_

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