Description

Hi, I'm Eskender, a Python Web Scraping & Data Parsing Specialist. I help businesses, e-commerce brands, and analysts automate data collection and transform chaotic web data into structured, production-ready assets.

My core stack is built on Python 3.14 and VS Code, utilizing Requests and BeautifulSoup for robust, stable data extraction. I don't just extract raw text; I focus on delivering high-quality, clean datasets. Every report I deliver is formatted to corporate standards, featuring automatic layout adjustments, clean typography, proper currency handling, and enhanced navigation (like structured Freeze Panes and Zebra styling) for seamless integration into your business workflows.

Whether you need a custom competitor price tracker, a structured market analysis dataset, or scalable automation scripts to replace manual data entry—I deliver clean, efficient, and well-documented code that works.

Let’s talk about your data needs and how I can automate them.

Industry field of expertise

Languages

German
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Freelance / Self-employed
Freelance Data Scraping & Automation Specialist
E-COMMERCE
October 2024 - Today (1 year and 10 months)
Dún Laoghaire, Ireland
Developed custom Python scripts (Requests, BeautifulSoup) to automate data extraction from e-commerce stores and directories.

Cleaned and processed raw data (regex, string manipulation) to remove text artifacts and split complex fields.

Generated fully formatted, business-ready Excel reports with frozen headers, custom layouts, and automated filters.
Data Cleaning Requests Data Parsing CSV automation
Contract / Market Intelligence
Data Automation & Scraping Developer
E-COMMERCE
June 2025 - December 2025 (6 months)
Dún Laoghaire, Ireland
Built an automated competitor price-monitoring tool using Python to track thousands of product SKUs daily across multiple online retail platforms.

Implemented robust error-handling mechanisms to manage network timeouts, proxy rotation, and dynamic HTML structure changes without breaking the pipeline.

Automated post-processing pipelines that consolidated multi-source data into clean, structured CSV/Excel outputs, reducing the client's manual tracking time by 90%.
Python BeautifulSoup Requests Data Cleaning E-commerce