Backend
2026
JobStreet Data Scraper Automation
Backend Engineer
Tech Stack
About the Project
JobStreet Data Scraper Automation
An end-to-end web scraping workflow built with n8n to automate the extraction of job market data from JobStreet. This system transforms unstructured web pages into clean, actionable datasets.
- Anti-Bot Bypass: Integrates Scraper API to handle proxy rotation and bypass WAF/anti-bot protection efficiently.
- DOM Parsing Strategy: Uses advanced HTML extraction nodes to group and isolate specific job cards from the web structure.
- Data Normalization: leveraging custom JavaScript to clean, validate, and convert raw HTML content into structured JSON objects.
Project Info
- Year 2026
- Category Backend
- Role Backend Engineer