Local Business Email Data Scrape

I need a reliable data-scraper who can pull clean, non-spam-flagged email addresses for companies in my local market. All addresses should be sourced directly from company websites, their social media profiles, and reputable business directories—nothing scraped from questionable lists.

Please structure the results in a single Excel spreadsheet so my team can sort and filter with ease. At minimum, every row must include a working email address; if you happen to capture basic contact details (company name, phone, street address) while you work, feel free to include those in adjacent columns, but the email is the critical field.

Before delivery, validate each address to avoid hard bounces or obvious spam traps. Any toolset is fine—Python, Scrapy, Hunter, NeverBounce, or similar—so long as the final file opens smoothly in Excel and every address you provide passes a quick test send.

I’ll review by spot-checking twenty random entries: if they bounce or reach role-based accounts that commonly trigger filters (info@, sales@, support@), I’ll ask for replacements. Let me know how quickly you can complete the initial batch and how many verified addresses you estimate you can supply.