I need a reliable scraper who can pull complete exhibitor information from the Medica / COMPAMED trade-fair directory (https://www.medica-tradefair.com/vis/v1/en/search?_query=&view_type=rows&f_type=profile&f_event=compamed2025) and deliver it to me in a clean Excel (.xlsx) file. For each company record, the spreadsheet must include: • Name • Geography (country / region as shown) • Description • Line of business (e.g. “Plastic processing”) • Full address • Email • Phone number • Website • Number of employees • Year of foundation I will launch these requests on an ad-hoc basis, sometimes narrowing the crawl by geography, line of business or employee count, so the script or workflow should let me set those filters easily before each run. I’m happy with any stack you prefer—Python with BeautifulSoup/Scrapy, Playwright, Selenium, or a headless browser—so long as the final output lands in a well-structured .xlsx file with no missing fields, duplicate rows or formatting issues. Please let me know: • Your proposed approach to bypass pagination and collect the hidden email/phone fields shown on the profile pages. • How quickly you can turn around the first pull from the link above. • Whether you can provide a reusable script or if you prefer to run it for me each time. I’ll supply further target links and any filter details once we agree on the workflow.