Temporary CV Scraper and Categoriser (Gulf-Focused) Position Overview We are seeking a detail-oriented and tech-savvy individual for a temporary remote position focused on web scraping and organising resumes (CVs) from public job boards and databases. The role involves collecting CVs specifically from candidates with experience in the Gulf region (e.g., UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, Oman). You will segregate the collected CVs based on years of experience and industry sectors. This is a performance-based gig with payment per valid CV submitted, requiring a minimum output of 5,000 CVs per month. The position is temporary, with an initial duration of 3-6 months, and can be extended based on performance. Key Responsibilities 1. Use web scraping tools and scripts (e.g., Python with libraries like Beautiful Soup, Scrapy, or Selenium) to extract CVs from legitimate public sources such as job portals, professional networking sites (ensuring compliance with terms of service), and open databases. 2. Filter and collect only CVs that demonstrate relevant Gulf region experience (e.g., work history in Gulf countries). 3. Segregate the scraped CVs into categories based on: - Years of experience (e.g., 0-2 years, 3-5 years, 6-10 years, 10+ years). - Industry sectors (e.g., oil & gas, finance, construction, hospitality, IT, etc). 4. Ensure data accuracy, remove duplicates, and format CVs into a standardised structure (e.g., Excel sheets or CSV files) for easy review. 5. Maintain a daily/weekly log of scraping activities and submit batches of categorised CVs on a regular schedule. 6. Adhere to ethical scraping practices, data privacy laws (e.g., GDPR where applicable), and avoid any unauthorised access or violations of platform policies. 7. Meet or exceed the minimum target of 5,000 valid, segregated CVs per month.