alaudin burki

I build Actors that tell you when they didn't work.

• ✅ Who I am: independent developer.
• 🤓 What I'm about: I measured run-failure rates across the Store before building anything — star ratings don't predict whether an Actor still works. So every Actor I publish reports what it found and what it missed, per field, per row. Started with scrapers; now also official government data (SEC, FDA, EPA, FEMA, USGS, federal courts) turned into the answer a buyer needs, not a raw dump.
• ⚒️ Recent: Insider Trading Monitor (SEC Form 4, real buys/sells only) · Vehicle Safety Report (NHTSA recalls + complaints, one verdict) · Site Health Suite (six checks, one grade) · Amazon Product Scraper (per-field reporting)
• 🎨 Most creative: Typosquat Monitor generates its own lookalike-domain threat universe across 11 techniques · Broken Link Resurrector finds each dead link's last archived snapshot and proposes the fix · Docs to Answers turns docs into citable, AI-ready chunks
• 🤖 AI/agent work: an MCP server exposing Actors as tools for Claude/Cursor agents, an AI Brand Visibility Tracker querying ChatGPT/Claude/Perplexity/Gemini directly, and a RAG ingestion pipeline — comfortable on both sides of the agent/tool boundary.
• 🧰 Stack: Node.js, Crawlee, Cheerio, Apify SDK, Python, MCP, official public APIs.
• 📋 How I work: enforced limits, deduplicated output, deterministic ordering, flat CSV-ready rows, errors in plain English. Tested before every ship.
• 🫱🏻‍🫲🏽 Work with me: scraping, data monitoring, compliance-data integration, AI/agent tooling — alaudinburki@gmail.com
• 🗣️ Languages: English, Urdu, Pashto