🕷️️ Job Radar • SCRAPING

upwork.com 2026-04-24 🟢

🔹 Build Reusable Public Records Data Enrichment Tool
👤 Client: 🇺🇸 United States Member since 2022-04-05
💰 Price: ****
🚩 Problem: Automate and enrich large datasets of licensed professionals with public records information.
📦 Existing: [Current dataset of 18,000+ records with fields: first name, middle name, last name, job title, county]

Specifications:

[Target] Enrich existing data with additional publicly available information (mailing/home address, phone number, email)
[Method] Use public licensing data sources like TDLR for matching and enrichment
[UI/UX] Not applicable; command-line interface or simple web UI for inputs and outputs
[Stack] Python, web automation libraries (e.g., Selenium), data processing frameworks (e.g., Pandas, Dask)
[Security] Ensure secure handling of sensitive data, use encryption where necessary
[Format] JSON for structured output; CSV for bulk imports

Workflow:

1. Analyze current dataset structure and identify key fields for enrichment.
2. Integrate public licensing data sources (e.g., TDLR API) to match existing records.
3. Develop entity matching algorithms to accurately link records with additional information.
4. Implement data cleaning and validation routines to ensure accuracy of enriched data.
5. Create reusable scripts for input, enrichment logic, and output formatting.
6. Test the system with a subset of the dataset before full-scale deployment.