I build focused Apify Actors that turn messy public web data into clean, structured, machine-readable datasets.

My specialty is public-source intelligence: tenders, procurement portals, official notices, public directories, planning data, market signals, and other high-friction sources that are useful only after they are collected, cleaned, normalized, and monitored.

• 🔎 Discover and monitor public sources
• 📄 Extract structured data from pages, PDFs, portals, and listings
• 🧹 Clean, deduplicate, and normalize records
• 🕒 Track changes over time
• 🧾 Preserve source URLs, timestamps, and provenance
• 📦 Export data in practical formats for automation, analytics, and research

• 🏗️ EU / DACH public tenders
• ☀️ Solar and energy infrastructure opportunities
• 🔌 EV charging and grid-related procurement
• 🏛️ Municipal and government notices
• 🧰 B2B market and directory intelligence
• 📊 Niche datasets for analysts, founders, and operators

• No fake/demo data
• Public-source-first collection
• Respectful crawling and rate limits
• Clear provenance for every record
• Practical outputs over pretty dashboards
• Narrow, useful Actors instead of generic scrapers

I publish Actors for people who need reliable data pipelines without building and maintaining custom scrapers themselves.

Most Actors are designed to be simple to run, easy to schedule, and useful inside larger workflows — from lead discovery and tender monitoring to research feeds and automated alerts.

If you need clean data from awkward public sources, you are in the right place. ⚡