🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-14

🔹 Confirm Employee Number figures at 14,200 companies
👤 Client: 🇺🇸 United States Member since 2018-05-11
💰 Price: ****
🚩 Problem: Ensure accuracy in employee count for 14,200 companies by cross-referencing existing ranges with current data.
📦 Existing: [Data set of 14,200 companies including employee range (1-10, 11-50, etc)], [City/state information], [Web pages for each company]

Specifications:

[Target] Cross-reference existing employee ranges with current data.
[Method] Web scraping and API calls to gather current employee numbers from company websites or public APIs.
[UI/UX] Not applicable (backend task).
[Stack] Python, BeautifulSoup, Selenium, Pandas, Flask (for API if needed)
[Security] Ensure compliance with GDPR and other relevant data protection regulations. Use secure scraping practices.
[Format] JSON for structured output

Workflow:

1. Parse the existing dataset to extract company URLs and employee range information.
2. Develop a web scraper using Python with BeautifulSoup or Selenium to gather current employee numbers from company websites.
3. Compare scraped data against the existing ranges, flagging discrepancies for further investigation.