Active LinkedIn User Data Extraction
Budget: $250 – $750 USD
I’m looking for a reliable way to gather fresh LinkedIn user-profile data—no company pages or job postings, strictly people. The only details I need are contact-related: whatever public or semi-public information can be captured for each profile (e-mail address, phone number if visible, LinkedIn profile URL, plus the person’s name and current headline so the data is meaningful).
Here’s what I’d like delivered:
• A clean CSV or Excel file containing at least several thousand active profiles that meet the criteria we’ll agree on (for example by location, industry or keyword).
• A repeatable method: either a Python/Node script, an automated workflow, or an outline of the exact tools and steps you’ll use so I can refresh the list later.
• A brief read-me explaining setup, rate-limits you observed, and any proxy or CAPTCHA-handling measures.
Please ensure the collection approach respects LinkedIn’s terms of service and avoids account bans or blocks. If you already have a proven process or sample dataset, let me know—that will speed up our start.
Here’s what I’d like delivered:
• A clean CSV or Excel file containing at least several thousand active profiles that meet the criteria we’ll agree on (for example by location, industry or keyword).
• A repeatable method: either a Python/Node script, an automated workflow, or an outline of the exact tools and steps you’ll use so I can refresh the list later.
• A brief read-me explaining setup, rate-limits you observed, and any proxy or CAPTCHA-handling measures.
Please ensure the collection approach respects LinkedIn’s terms of service and avoids account bans or blocks. If you already have a proven process or sample dataset, let me know—that will speed up our start.
Related categories:
Python
Web Scraping
Software Architecture
Data Mining
Data Extraction
Automation
Data Collection
Data Management