I build Apify Actors — serverless programs that turn messy web and filing data into clean, structured, ready-to-use datasets. Currently focused on financial and alternative data for analysts, fintech tools, and AI/RAG pipelines.

• Design and ship Apify Actors: cloud-hosted scrapers and data pipelines that run on demand or on a schedule, no infrastructure to manage.
• Turn unstructured or semi-structured sources (filings, listings, feeds) into enriched, analysis-ready JSON/CSV/Excel datasets.
• Build with an eye for reliability and correctness — test-driven development, careful handling of edge cases, and anti-bot-aware extraction so data keeps flowing when sites change.
• Specialize in financial and alternative data: the kind of signal that's normally locked inside dense regulatory filings or scattered across the web.

Turns raw SEC EDGAR Form 4 filings into a clean, enriched feed of corporate insider stock buys and sells — market-wide or filtered to specific companies. Every filing is decoded and computed, not just dumped as raw XML.

Output includes:

• Decoded transaction types (buy, sell, grant, option exercise, etc.)
• Computed dollar values per transaction
• Cluster-buy detection (multiple insiders buying the same stock in a short window)
• Structured, ready-to-query records — no filing-format archaeology required

Try it on Apify →