Conference Sponsor Data Scraper

Заказчик: AI | Опубликовано: 13.04.2026

I need a small, reliable web-scraping script that pulls detailed sponsor information from a set of industry-conference websites that I will supply once the project starts. For every sponsor listed on those sites I want to capture the essentials—company name, product line or service promoted, sponsorship tier (Gold, Silver, etc.), logo URL, website link, and any contact email that is publicly visible. Because many conference sites load content dynamically, the scraper must be able to render JavaScript when needed; a headless Selenium setup or an equivalent solution in Python 3 is fine. Please structure the code so I can add or remove conference URLs easily, and store all results in a clean CSV (UTF-8) or Excel file. Deliverables • Well-commented Python script (requests/BeautifulSoup for static pages, Selenium for dynamic ones) • Requirements.txt and a short README describing setup and usage • One sample output file created from at least one conference URL I provide for testing I’ll review the job as complete once the script reliably extracts the fields above, handles pagination where applicable, and finishes without runtime errors on the test list of sites.