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All work
AI + Web

GhostFetch

Web research and automation for teams that move fast

A research tool that turns open-web pages into structured, usable intelligence. Query once, get clean output your team can act on.

Platform
Web app
Timeline
8 weeks to v1
Team
Backend + Frontend
Involvement
Architecture + build

10×

Faster lead research

1200+

Pages processed daily

98%

Extraction accuracy

0

Setup required

The challenge

A problem worth solving

Lead research means hours of tab-hopping, copying and reformatting. Generic scrapers break the moment a page changes. The team needed a tool that fetches web content reliably at volume and turns it into structured research without anyone babysitting the pipeline.

  • Fetching had to stay reliable where naive scrapers get blocked
  • Output had to be structured and consistent, every run
  • Long pages needed condensing, not copying
  • Zero setup. Researchers are not engineers

Our approach

How we built it

We engineered a resilient fetching and content-extraction pipeline: requests rotate intelligently, extraction normalizes messy pages into clean fields, and an intelligent summarization layer condenses long content into the signals that matter. A simple web interface ties it together: type a query, watch the run, export structured results.

  • Resilient fetching layer tuned for reliability at volume
  • Extraction pipeline that normalizes pages into clean fields
  • Intelligent summarization that surfaces signal over noise
  • Simple web interface: query in, structured data out

Results

What it achieved

Research time per lead cut dramatically

Consistent, structured data every run

Adopted across the whole sales workflow

Have an idea worth building?

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