🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-15 🟡

🔹 LinkedIn CRE Prospect List
👤 Client: 🇺🇸 Voorhees Township, United States Member since 2025-06-18
💰 Price: $377 Average bid
🚩 Problem: Generate a targeted prospect list for commercial brokers/real estate agents, commercial lenders, and attorneys handling commercial real-estate transactions in the local market.
📦 Existing: Not specified

Specifications:

[Target] - LinkedIn profiles of Commercial Brokers / Real Estate Agents, Commercial Lenders, and Attorneys who handle commercial real-estate transactions within the local market.
[Method] - Scraping using tools like Sales Navigator, Phantombuster, Apollo, or similar platforms for compliance and accuracy.
[UI/UX] - Not applicable
[Stack] - Python (Scrapy, BeautifulSoup), LinkedIn API (if available), Excel/Google Sheets for data export.
[Security] - Ensure compliance with LinkedIn scraping policies; use proxies to avoid IP bans. Maintain data privacy and security standards.
[Format] - Clean spreadsheet with columns: Full Name, Direct Contact Details (public-facing email, phone, cell phone), Current Company and Position Title.

Workflow:

Define the local market area for targeted scraping.
Set up scraping tools or APIs to gather LinkedIn profiles based on specified roles.
Extract required fields: full name, direct contact details, current company, and position title.
Deduplicate data to avoid duplicates in the final list.
Verify sample data with client before proceeding with full pull.
Export clean data into an Excel or Google Sheets format.