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upwork.com 2026-04-18 🟢

🔹 Real Estate Data Mining
👤 Client: 🇺🇸 United States Member since 2014-12-29
💰 Price: ****
🚩 Problem: Extract and organize real estate data from various sources into structured formats.
📦 Existing: Not specified

Specifications:

[Target] - Property details including address, ownership, contact information, and financial data.
[Method] - Use of PropStream or LexisNexis for data extraction; manual tracing of LLCs to individuals when necessary.
[UI/UX] - Not applicable (data-driven task).
[Stack] - Python with libraries like pandas, requests, BeautifulSoup; Excel VBA for spreadsheet creation; Dropbox API for folder management.
[Security] - Ensure all data is handled securely and comply with GDPR or other relevant regulations.
[Format] - Excel files for master list; structured documents in Dropbox folders.

Workflow:

1. Identify the sources of real estate data (PropStream, LexisNexis, etc.).
2. Extract property details using APIs or web scraping techniques.
3. Trace LLC ownership to individuals when necessary for accurate data.
4. Organize extracted data into structured Excel spreadsheets and detailed documents in Dropbox folders.