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rudrksh_sh

Rudraksh Sharma

@rudrksh_sh

Python Web Scraping and Data Extraction Specialist

India
English, Hindi, Punjabi
About me
Hi, I’m a Python developer specializing in automated web scraping and data extraction pipelines. I help businesses and researchers pull clean, structured data from dynamic, JavaScript-heavy, and anti-bot protected websites. My Skillset: 1. Scraping Frameworks: Playwright, curl_cffi, BeautifulSoup, Selectolax 2. Data Processing: Pandas, JSON/CSV parsing 3. Bypass & Anti-Bot Strategy: TLS/JA3 fingerprint spoofing, browser automation, session management 4. Deliverable Formats: CSV, Excel (.xlsx), JSON, or direct Google Sheets integration Send me a message with your target URL to get started!... Read more

Skills

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rudrksh_sh
Rudraksh Sharma
Offline • 
Average response time: 1 hour

See my services

Data Scraping
I will do data mining, web scraping, data extraction, web crawling and data collection
From$30 / projectMore details

Portfolio

Work experience

Self_Employed

Freelance Python & Data Automation Engineer

Self Employed • Self-employed

Aug 2025 - Present • 1 yr 2 mos

Designed, developed, and deployed custom Python automation tools, resilient web scrapers, and local data pipelines for varied data extraction and software projects. Key Responsibilities & Project Highlights: 1. Automated Web Scraping & Data Pipelines: Engineered high-performance web scrapers using Playwright, curl_cffi, BeautifulSoup, and selectolax to extract structured datasets from complex, dynamic, and JavaScript-heavy websites. 2. Anti-Bot & Fingerprint Bypassing: Solved challenging scraping roadblocks using TLS/JA3 fingerprint spoofing, custom session management, and undetected_chromedriver techniques to navigate advanced Cloudflare and Akamai protections. 3. Data Structuring & Clean Exports: Processed raw HTML/JSON responses with Pandas and custom parsing logic, converting unorganized web data into clean, formatted CSV, Excel (.xlsx), and JSON files. 4. Desktop Software & GUI Development: Built secure desktop applications in Python (utilizing Tkinter for custom user interfaces), incorporating local state management, file I/O operations, and credential storage logic. 5. System & Environment Management: Managed local Linux (Fedora/RHEL) and Windows development environments to test, debug, and optimize multi-threaded and asynchronous Python scripts for maximum speed and memory efficiency.