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What teams build on the API

Four patterns cover most of what people do with public web data. Each one below is a real endpoint, a real response shape, and the call you would actually write.

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1 API key · 1 schema · every pattern below

01 — Lead generation

Ship a lead finder without a scraper team

One call returns businesses for a niche and city with phone, email, website, rating, and review count already resolved. Filter to the ones missing a website and you have a web-design lead product on day one.

A lead list product, without owning a single proxy pool.

See the sourceEndpoint reference
request
curl "https://sensecollect.com/v1/maps/no-website?query=restaurants&location=Hamburg" \
  -H "x-api-key: $SENSECOLLECT_KEY"
What comes back
Harbor Bistro+49 40 …no site
Kiez Grill+49 40 …no site
Alster Kaffee+49 40 …no site
02 — Voice of customer

Mine complaints straight into your model

Pull reviews for any public ASIN and pipe the text into sentiment scoring, objection mining, or a support knowledge base. The complaints-only endpoint filters to 1- and 2-star records server-side, so you skip the paging entirely.

Structured customer language, ready for a model or a dashboard.

See the sourceEndpoint reference
request
curl "https://sensecollect.com/v1/amazon/complaints?asin=B09G9FPHY6" \
  -H "x-api-key: $SENSECOLLECT_KEY"
What comes back
★146%
★221%
★311%
★49%
★513%

67% of records are complaints

03 — Trend detection

Watch a topic move before it peaks

Poll a hashtag on a schedule and diff the engagement counts between runs. Plays, likes, comments, and shares arrive as numbers rather than formatted strings, so velocity is a subtraction instead of a parse.

Velocity alerts on topics your competitors notice a week later.

See the sourceEndpoint reference
request
curl "https://sensecollect.com/v1/tiktok/hashtag?hashtag=fitnesscoach" \
  -H "x-api-key: $SENSECOLLECT_KEY"
What comes back
plays · last 9 polls+312%
04 — Competitive intelligence

Track a market across every public surface

Run the same question against maps, reviews, and posts, then join the answers on the unified record shape. One schema means one join key and one storage table instead of three pipelines that drift apart.

A single table your analysts can query without a translation layer.

See the sourceEndpoint reference
request
curl "https://sensecollect.com/v1/maps/search?query=coworking&location=Lisbon" \
  -H "x-api-key: $SENSECOLLECT_KEY"
What comes back
google_maps→
amazon_reviews→
tiktok→
one record shapebilled once

Something else in mind?

The catalog is public. Read it, price your calls, and build the pattern you actually need.

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