Web to Table

For analysts and researchers

The data exists. It is just in fourteen places.

Statisticians, academics, and journalists spend more time collecting than analyzing. The numbers are public, but they sit in PDFs, regional websites, registries, and archives, each formatted differently. Nobody is going to write you a collector for a one-off study. Now someone will.

Planned

Jobs

What you would ask for.

Assemble a dataset from scattered sources

Government pages, PDFs, and registries into one table with a source URL on every row.

Reconcile formats

Units, dates, and names normalized so the table is analysis-ready.

Refresh when they publish

Rerun yearly or quarterly and see which sources updated.

Example

Say it like this. Get this back.

Collect the annual rainfall tables published by these 14 regional water authorities into one table, with the source and year for every row.
Your table · 3 rows shownIllustrative
regiontext · collectedyearnumber · collectedrainfall_mmnumber · collectedsource_urlurl · collected
North Basin2,0241,120northbasin.example/annual-2024.pdf
Coastal2,0241,580coastalwater.example/stats
Highlands2,024highlands.example/report24.pdf
One report skipped the year, so the cell stays empty.

Good to know

Where the answer can be no, before you pay.

  • Scanned PDFs can be misread. We flag low-confidence values instead of hiding them.
  • A source may not publish every field every year. Empty means the source did not say.

Early access

Tell us what you want from the internet.

The app is not built yet. Early-access requests decide which collectors we build first. Describe your ask and a person replies with two things: possible or not, and roughly what it would cost.