🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-06

🔹 Tenant Data Extraction from Address List
👤 Client: 🇺🇸 USA Member since 2020-12-17
💰 Price: ****
🚩 Problem: Extracting accurate tenant-level information from a list of addresses.
📦 Existing: [Not specified]

Specifications:

[Target] Define and extract key tenant data fields (name, contact details, lease start/end dates) for each address provided.
[Method] Use web scraping tools or APIs to gather additional relevant data if necessary.
[UI/UX] Not applicable; focus on backend processing.
[Stack] Python with libraries like BeautifulSoup or Scrapy, Pandas for data manipulation, SQL for database storage.
[Security] Ensure all data handling complies with GDPR and other local regulations. Implement secure data storage practices.
[Format] Output structured JSON or CSV files containing extracted tenant information.

Workflow:

1. Review provided address list and identify necessary data fields.
2. Develop a script to extract relevant tenant data from each address.
3. Validate the accuracy of extracted data through manual checks or sampling.
4. Store processed data in a structured format (JSON/CSV) for easy access.