JavaScript Web Extractor
Jeeng Ltd
🌍 Remote
📅 March 2019 → November 2019
(9 months)
$ echo $IMPACT_METRICS
80%
Less Manual Entry
Puppeteer
Automation
$ cat tech-stack.json
$ cat README.md
At Jeeng Ltd, I designed and developed advanced web scraping solutions to extract critical data from diverse web sources, handling complex site structures, anti-bot measures, and dynamic content.
$ git log --oneline responsibilities/
Engineered custom web scrapers with VanillaJS and Vue.js for high-traffic websites
Implemented headless browser automation via Puppeteer for dynamic content
Built reusable modules adapting to changing website structures
Integrated error handling with rate limiting and retry mechanisms
Managed data storage in MongoDB, JSON, and CSV formats
$ grep -r "achievement" ./
Reduced manual data entry by 80% through automation
Extracted structured data from dozens of dynamic websites
Created modular scraping framework for rapid target onboarding
Handled anti-bot measures with advanced browser automation techniques
$ cat CHALLENGES.md
Bypassing Anti-Bot Measures
🔴 Challenge:
Target websites employed sophisticated anti-bot measures blocking traditional scraping approaches.
🟢 Solution:
Used Puppeteer for full browser emulation with realistic mouse movements, random delays, and session management. Implemented proxy rotation and browser fingerprint randomization.
$ cat details.md
Data Extraction Engineering
Web scraping at scale requires:
- Browser automation for JavaScript-heavy sites
- Anti-detection techniques for reliable access
- Data validation ensuring extraction quality
- Scalable architecture for high-volume extraction
Related
Technologies: Node.js, TypeScript, Python
Similar Roles: Data Quality Analyst at Data Research | Python Developer at ActivePrime