Upwork Job Scraper
Anti-detection Upwork job scraper API with Cloudflare bypass, advanced filtering, and real-time job data extraction.

Overview
The Upwork Job Scraper is a FastAPI-powered scraping service that extracts real-time job listings from Upwork using Camoufox — a stealth Firefox fork with anti-fingerprinting capabilities. The system automatically solves Cloudflare challenges, maintains persistent browser sessions with sticky proxy IPs for consistent identity, and extracts comprehensive job data including client history, activity metrics, and qualification requirements. A powerful post-scrape filtering engine lets users narrow results by proposal count, client activity, skills, budget, and more. Deployed via Docker for production reliability.
Challenge
Upwork's aggressive anti-bot protections — Cloudflare challenges, browser fingerprinting, and rate limiting — make traditional scraping approaches ineffective and result in instant blocking.
Results
99%+ Cloudflare bypass rate, 500+ jobs scraped per session, sub-second per-job extraction with parallel workers.
Key Highlights
Architecture
Timeline
Anti-Detection Research
2 weeksCamoufox setup, Cloudflare analysis, sticky proxy architecture
Scraper Core
3 weeksSearch URL builder, HTML/NUXT parsing, parallel job detail extraction
API & Filtering
2 weeksFastAPI server, Pydantic models, post-scrape filter engine
Dockerization & Deploy
1 weekDocker containerization, auto-reload dev setup, production config
“Every scraper we tried before got blocked by Cloudflare within minutes. Zak's solution bypasses it with a 99% success rate — we finally get clean, real-time Upwork data without babysitting anything.”
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