I have an Apollo.io saved-search URL that returns well over 100,000 records. I need every record pulled—both the individual-level contact information and the associated company details—and organised into a single, clean Excel workbook. You will receive the search URL (or multiple URLs if I decide to segment the pull) plus any filters already applied inside Apollo. Your task is to automate the extraction, work around Apollo’s rate limits, and return a de-duplicated data set ready for analysis. Please keep the column structure logical: one row per contact, with the company attributes mirrored alongside each person. Key points for successful delivery • Scope: 100k+ rows covering full contact and company fields available from the search results • Format: Excel (.xlsx) only, with active filters enabled and no hidden columns • Quality: No duplicates, no blank emails where one is listed in Apollo, and consistent formatting of phone numbers and websites • Timeline: Let me know how quickly you can turn around the entire set and whether you plan staged deliveries If you already have tooling or scripts that bypass Apollo export limits (Python, Selenium, Apollo API, etc.), that’s perfect—just outline your approach so I can be confident in both speed and reliability. Attach a brief note on your past experience scraping Apollo or similar platforms and feel free to include a short sample if you’d like. I’ll supply the URL as soon as we agree to move forward.