Unseen User

I am a results-driven automation engineer with extensive experience in web scraping and data pipeline development. I solve complex data acquisition challenges for businesses that rely on accurate, timely external information.

My focus is on building robust, maintainable Apify Actors that can handle high concurrency and navigate hostile web environments.

• Stack: Node.js, Python, Apify SDK, Crawlee.
• Target Types: Infinite scrolling SPAs, heavily obfuscated sites, data behind logins, and graphQL endpoints.
• Anti-Detect: Implementing advanced fingerprint management, header optimization, and behavioral mimicry to ensure high success rates.
• Data Quality: Post-processing, normalization, and schema validation tailored to client storage needs (JSON, CSV, databases).

1. Reliability First: Built-in error handling and sophisticated retry logic mean fewer failed runs and less maintenance.
2. Efficient Resource Usage: Optimized code that respects target server loads while maximizing extraction speed, keeping your Apify compute unit costs down.
3. Future-Proofing: Designed with modularity to easily adapt when target websites change their DOM structure or defense mechanisms.

I am available for custom Actor development and consulting on existing scraping infrastructure. Please provide a clear scope of work and target URLs when reaching out.