LinkedIn Mobile Number Scraper
Budget: ₹37,500 – ₹75,000 INR
I need a reliable script that can search LinkedIn automatically and pull a clean CSV containing each profile’s full name, mobile number, company email address and current job title. The search itself must be driven by three criteria—industry type, location and company size—rather than me pasting individual profile URLs.
Here’s the flow I have in mind: I feed the tool those criteria, it logs into my LinkedIn (or Sales Navigator) session, runs the search, paginates through the results, visits each profile and extracts the four data points. Rate-limits, random delays and proxy rotation are critical so the account stays safe. Headless browsing with Selenium or Playwright, plus a lightweight database or in-memory queue to avoid duplicates, would be ideal, but I’m open to whatever stack you’re comfortable with as long as it is stable on Windows or a small Linux VPS.
Deliverables
• Well-commented source code (Python preferred)
• requirements.txt or equivalent dependency list
• Brief README showing setup, auth steps and a sample command
• One proof-of-concept CSV generated from a short test run (five to ten records)
Once I can run the script locally without errors and see the expected columns populated, I’ll consider the job complete.
Here’s the flow I have in mind: I feed the tool those criteria, it logs into my LinkedIn (or Sales Navigator) session, runs the search, paginates through the results, visits each profile and extracts the four data points. Rate-limits, random delays and proxy rotation are critical so the account stays safe. Headless browsing with Selenium or Playwright, plus a lightweight database or in-memory queue to avoid duplicates, would be ideal, but I’m open to whatever stack you’re comfortable with as long as it is stable on Windows or a small Linux VPS.
Deliverables
• Well-commented source code (Python preferred)
• requirements.txt or equivalent dependency list
• Brief README showing setup, auth steps and a sample command
• One proof-of-concept CSV generated from a short test run (five to ten records)
Once I can run the script locally without errors and see the expected columns populated, I’ll consider the job complete.
Related categories:
Python
Linux
Data Processing
Web Scraping
Software Architecture
Data Extraction
Selenium
Automation