I will build an advanced python scraper and etl pipeline
Over deze dienst
High-Performance Python Scraping & AI Pipelines
Stop wasting time with broken scrapers. I build resilient, high-scale web automation and ETL solutions that deliver clean, structured data directly to your database or files.
What I offer:
- Dynamic Content: Expert use of Playwright & Selenium for JS-heavy sites and SPAs.
- Advanced Emulation: Behavioral simulation for maximum reliability and success rates.
- AI-Powered ETL: LLMs & OpenAI for parsing chaotic or unstructured web elements efficiently.
- Data Engineering: Automated cleaning and validation with Pandas for production-ready output.
- API & Metadata: Fast extraction via REST/GraphQL and hidden JSON-LD metadata.
Industry Expertise:
- Real Estate (Listings & Property)
- E-commerce & Price Comparison
- Lead Gen & Business Directories
- Market Research
Why this service?
- Scalability: Optimized for low-memory, high-speed execution.
- Clean Delivery: Validated CSV, JSON, Excel, or SQL.
- Resilience: Self-healing scripts that adapt to layout changes.
️ IMPORTANT: Contact me with your Target URL before ordering for a free technical feasibility review!
Technologie:
Python
•
Selenium
•
Beautiful Soup
•
Toneelschrijver
•
Pandas
Techniek:
Geautomatiseerd
Mijn portfolio
Veelgestelde vragen
Can you extract data from dynamic or JavaScript-heavy websites?
Yes. I use advanced frameworks like Playwright and Selenium to render JavaScript and interact with Single Page Applications (SPAs) just like a real user would. This ensures that all content, even if it's hidden behind buttons or scrolls, is captured accurately.
In what formats will I receive my data?
I deliver production-ready data in your preferred format: CSV, JSON, Excel (XLSX), or directly into a SQL Database (PostgreSQL, MySQL, etc.). Every dataset undergoes a cleaning and validation process using Pandas before delivery.
How do you handle websites with complex layouts or unstructured text?
I implement a Hybrid ETL Pipeline. For structured areas, I use high-speed parsing; for chaotic or "noisy" text, I integrate AI (LLMs) to intelligently structure the information into clean, usable data points.
Will the scraper work if the website layout changes slightly?
I build resilient scripts that focus on robust data selectors and metadata (JSON-LD) rather than fragile CSS classes. This "self-healing" approach makes my pipelines much more stable against minor website updates compared to standard scrapers.
Do I need to provide my own infrastructure or proxies?
For small to medium tasks, I handle everything. For high-scale enterprise projects, I can integrate geo-distributed request networks and session management to ensure maximum reliability and continuous uptime.

