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upwork.com 🟑 2026-05-10

πŸ”Ή Extract law firm data from Law.com directory
πŸ‘€ Client: πŸ‡ΊπŸ‡Έ United States Member since 2016-12-08
πŸ’° Price: ****
🚩 Problem: Incomplete and missing records in current dataset.
πŸ“¦ Existing: [Current incomplete dataset with ~200 firms]

Specifications:

[Target] Scrape all available law firm records from Law.com directory (id=1 to id=500)
[Method] Sequential scraping based on numerical structure
[UI/UX] N/A
[Stack] Python, BeautifulSoup, Pandas
[Security] Ensure no sensitive data exposure; use secure scraping practices
[Format] Output in a spreadsheet format similar to the attached

Workflow:

Analyze Law.com directory structure and identify elements for extraction.
Develop scraper using Python with BeautifulSoup to extract firm records sequentially (id=1 to id=500).
Clean, organize, and deduplicate extracted data using Pandas.
Verify missing IDs and ensure no firms are skipped during scraping process.
Format output in a spreadsheet similar to the attached file for easy integration.

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