🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-20 🟡

🔹 Extract LinkedIn Emails for Specific Job Titles
👤 Client: 🇦🇪 Sharjah, United Arab Emirates Member since 2025-07-15
💰 Price: $57 Average bid
🚩 Problem: Need a clean spreadsheet of verified email addresses from LinkedIn members matching specific job titles.
📦 Existing: Not specified

Specifications:

[Target] - Identify and extract LinkedIn profiles based on provided job-title keywords.
[Method] - Use web scraping techniques to gather data, ensuring compliance with LinkedIn's terms of service.
[UI/UX] - Not applicable as this is a backend task.
[Stack] - Python (Scrapy or BeautifulSoup), Selenium for dynamic content, Pandas for data manipulation, Excel for output formatting.
[Security] - Implement rate limiting and use proxies to avoid IP bans. Ensure data privacy by not storing sensitive information locally.
[Format] - Output as .xlsx or Google Sheet with specified columns.

Workflow:

1. Define job-title keywords provided by the client.
2. Set up web scraping tools to navigate LinkedIn and extract relevant profiles.
3. Extract full name, job title, company, email address (validate against basic criteria), and LinkedIn profile URL for each matching profile.
4. Clean data to remove duplicates and generic emails.
5. Validate email addresses using a standard verifier with a bounce rate below 5%.
6. Ensure minimum 10k unique profiles meet the job-title criteria.
7. Format data into .xlsx or Google Sheet as specified.
8. Deliver final file to client for review.