An open-source Python automation ecosystem that revolutionizes SEO job hunting. It eliminates manual searching by continuously scraping major job boards, executing advanced keyword filtering, and bypassing proxy restrictions via Cloudflare Workers. Delivers curated, high-intent remote and local SEO positions directly to Telegram, seamlessly integrated with Google Sheets.
Data shows that over 75% of digital professionals still search for job opportunities manually, constantly browsing through fragmented and unorganized job boards. For an active job seeker, this repetitive manual process consumes an average of 2 to 3 hours per day. This is wasted time that could be spent on client work, upskilling, or core operations.
SEO Job Scraper solves this systemic inefficiency. By transforming a manual pull-strategy into an automated, real-time push notification network, it saves users up to 15 hours per week of manual web browsing.
This project is engineered as a lightweight, serverless automation ecosystem designed for speed, stability, and zero maintenance costs.
Asynchronous Python Backend: Built to handle concurrent requests and parse complex DOM structures across multiple global and regional job platforms without performance bottlenecks.
Serverless Edge Network (Cloudflare Workers): The integration of cf_worker.js routes traffic through serverless edge infrastructure. This effectively manages request headers and circumvents aggressive anti-scraping mechanisms or IP rate limits.
Google Sheets API Integration: Functions as a centralized, lightweight database. Scraped listings are automatically cleaned, deduplicated, and logged into Google Sheets for structured application tracking.
Telegram Bot API Alerting: Serves as the instant notification layer, dispatching clean, formatted alerts with direct application links the moment a relevant job is posted.
Multi-Platform Aggregation: Monitors and unifies active listings from multiple job boards simultaneously.
Advanced Intent & Keyword Filtering: Eliminates noise by targeting specific SEO roles (e.g., Technical SEO, Programmatic SEO, Link Building, Content Strategy).
Automated Deduplication: Uses unique identifiers to ensure identical jobs from different sources are never triggered twice.
Zero-Cost Deployment: Optimized to run entirely within the free tiers of GitHub Actions and Cloudflare.
Developed to solve a real-world workflow bottleneck, this open-source tool gained immediate validation upon release. The initial documentation and launch post generated over 36,000 views on LinkedIn within days, attracting GitHub stars, forks, and active contributions from the global SEO and developer community.