I need a clean, well-structured dataset of upcoming events that are currently accepting vendor applications. The task is pure web scraping: locate suitable event websites, extract the information, and deliver it in an easily reusable format. Target sites Focus only on event websites that publish a live “vendors wanted” or “apply to be a vendor” page. They might be festivals, pop-ups, fairs, expos—anything that allows outside merchants to register. Data points For every event you scrape, I need the following fields captured exactly as shown on the site: • Event date(s) and city/state (or country, if outside the U.S.) • All vendor application details (fees, deadlines, booth sizes, links to the actual form) • Direct contact info for the organizer—name, email, phone, or contact page URL if that’s all that’s provided Deliverables 1. A CSV or XLSX file containing one row per event with the three data categories above in separate columns. 2. The scraping script or notebook (Python + BeautifulSoup, Scrapy, or similar) so I can rerun it later. 3. Brief read-me explaining how to execute the script and update the dataset. Acceptance I will spot-check random rows against the source sites; scraped values must match. Any events without vendor application pages should be excluded. Duplicate events across multiple sites need to be merged, not repeated. If you’ve handled event or marketplace scraping before and can turn around accurate data quickly, I’d love to work with you.