Public datasets, pre-extracted and ready to query.

WHY THIS IS HARD IN-HOUSE

Collecting public data at scale is a maintenance problem more than an engineering one. Sources change their markup, rate limits tighten, and a pipeline that worked last quarter quietly returns half the rows this quarter. Most teams underestimate the upkeep, not the build.

PRE-EXTRACTED & READY

We run the collection and the monitoring. You get clean, structured, schema-versioned datasets delivered to your warehouse, with a changelog whenever a field moves.

Social Profiles

50M+ ROWS

Public profile information, bios, external links, and follower counts, ready for direct ingestion. For creator discovery, influencer vetting and audience analysis.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

Local Places

10M+ ROWS

Structured local business records, aggregated review data, and geospatial coordinates for market analysis. For site selection, POI enrichment and local market analysis.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

E-Commerce Pricing

100M+ ROWS

Product pricing, competitor monitoring, availability tracking, and review sentiment. For competitor price monitoring, MAP compliance and assortment tracking.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

Property Records

20M+ ROWS

Valuations, listing histories, and neighbourhood-level market trends. For valuation models, market analysis and real estate underwriting.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

B2B Firmographics

200M+ ROWS

Professional histories, company firmographics, and headcount growth signals. For lead enrichment, ICP scoring and territory planning.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

SEC Filings

STREAMING

Parsed 10-K and 10-Q filings, insider transaction signals, and institutional ownership. For fundamental analysis, insider transaction signals and ownership tracking.

DELTA TABLE · PARQUET · JSON · CSV · DELTA SHARING

Delivered over Delta Sharing, or written to your own S3, ADLS or GCS as Delta or Parquet — partitioned and ready to register. Read from Databricks, Spark, pandas, Power BI or DuckDB without a Databricks account.

Publicly accessible sources only. robots.txt honoured, per-source rate limits respected, and provenance and collection method documented per dataset. Our full position is set out on the compliance page.