Gulf CV Data Extraction

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.