LinkedIn Employee Data Scraping
Budget / Salary$10–30
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a clean CSV extracted from LinkedIn that lists current employees at a single target company who hold Sourcing-related titles. For every profile you capture, include only the essentials:
• Full name exactly as it appears on LinkedIn
• Total time they have worked at the company (years and months)
• Current job title
• Location shown on their profile
No narrative role descriptions are required—just the four data points above, one row per person.
Please use any reliable method you prefer (Python + Selenium, Phantombuster, Sales Navigator export, etc.) provided you comply with LinkedIn’s terms of service and the final file is delivered as a UTF-8 CSV ready for upload to Google Sheets.
I will verify by spot-checking at least 10 random entries; all of them must match the live profile for the job to be accepted.
• Full name exactly as it appears on LinkedIn
• Total time they have worked at the company (years and months)
• Current job title
• Location shown on their profile
No narrative role descriptions are required—just the four data points above, one row per person.
Please use any reliable method you prefer (Python + Selenium, Phantombuster, Sales Navigator export, etc.) provided you comply with LinkedIn’s terms of service and the final file is delivered as a UTF-8 CSV ready for upload to Google Sheets.
I will verify by spot-checking at least 10 random entries; all of them must match the live profile for the job to be accepted.
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