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Problem Statement

1. Contact Data Scraping

Scrape publicly available company data from their websites — focus only on what’s reliably accessible.

Field Status Notes
Website URL Required Use Google Search fallback if not provided
General Contact Email Required Usually in “Contact Us” or page footer
Phone Number Required Found in footer or contact page
Location / Address Required Available on contact or “About” page
Leadership Names Optional Only if listed under “Team” or “Leadership”

Output Required:

Company Website Email Phone Location Found Leadership Name(s)

2. Technology Detection via Python

For each company (list given), write a Python script to identify whether the website mentions:

Cloud Technologies (e.g., AWS, Azure, GCP) MES Technologies (e.g., Siemens Opcenter, Rockwell FactoryTalk) PLM Technologies (e.g., Teamcenter, Windchill, ENOVIA)

Output Required:

Company Website Cloud Tool Mentioned Source URL MES Tool Mentioned Source URL PLM Tool Mentioned Source URL
Company A https://www.companya.com AWS www.companya.com/tech Siemens Opcenter www.companya.com/tech - www.companya.com/tech
Company B https://www.companyb.com GCP www.companyb.com/products - www.companyb.com/products Teamcenter www.companyb.com/products