Parsing raw US government regulatory filings, XBRL financial statements, FDA clearances, and healthcare registries is notoriously difficult due to XSLT stylesheet wrappers, changing US-GAAP accounting tags, and deeply nested XML tables.

To solve this for quantitative developers, B2B growth teams, and AI agent builders, I built and published a complete 20-API Financial, Biotech, and B2B Lead Intelligence Suite on Apify (Mehdad DataLabs).

Every API in this suite runs on pure asynchronous Python httpx (zero headless browser overhead, executing in 3 to 6 seconds on 256 MB RAM), outputs flat, structured JSON, CSV, or Excel tables, and works natively as an MCP (Model Context Protocol) server for Claude Desktop, Cursor, Clay, Make, and n8n workflows.

Here is the complete 20-API directory organized by category:

PART 1: WALL STREET & SEC EDGAR INTELLIGENCE APIS (10 APIS)

SEC Form 4 Insider Trading Scraper & XML Parser API

Strips SEC XSLT wrappers and parses raw Form 4 XML filings to extract exact CEO, CFO,…