Ecommerce Contact Detail Scraping
Employer not named by the sourceRemote
Frontier is not the employer and does not collect applications.
About this role
Python, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Scraping, BeautifulSoup, Selenium · I need contact details gathered from a set of ecommerce websites. The information of interest is the usual outreach data—company name, contact person (when visible), email, phone number, and any publicly listed address. I will supply the list of storefront URLs; you can assume they are all standard web pages without API access.
The process must respect each site’s robots.txt and terms of service while still delivering a comprehensive, duplicate-free dataset. A Python-based approach using Scrapy, BeautifulSoup, or Selenium is fine, as long as the final script is reusable and clearly documented.
Deliverables • Reusable scraping script with clear setup instructions • Clean CSV or Excel file containing the extracted contacts, one row per company • Brief read-me summarising methodology, runtime, and any edge-case handling
I will consider the job complete once the script runs successfully on my machine and the spreadsheet matches the provided URL list without missing entries or obvious parsing errors.