Apollo.io Scrape for 23K Contacts

I already have a saved Apollo.io search link that captures all the filters I need, plus a separate list of 6,000 company domains. Your task is to merge those two sources and deliver a clean, complete dataset of roughly 23,000 decision makers.

Scope of contacts
• Roles: owners, founders, C-level executives as well as sales, marketing, and business-development leaders only
• Company size: 1–50 and 51–500 employees
• Geography is unrestricted—pull every match Apollo returns under my filters.

Required data fields for each contact
• Work email address (validated)
• Direct phone or mobile number
• LinkedIn profile link
• Standard Apollo fields: full name, job title, company name, website, industry, HQ location, employee count, revenue, and any other attributes Apollo provides.

Deliverables
1. A single CSV or Excel file containing ≈23,000 rows that meet the above criteria.
2. Bounce-checked emails with an overall validity rate of 95 % or better.
3. Separate tab listing any domains or contacts that could not be enriched, for transparency.

Please use your preferred Apollo.io scraping approach—Python, Selenium, Apollo API, or an existing toolset—as long as it respects Apollo’s rate limits and produces the full data stack. If you have questions about the search link or domain list, let me know and I’ll share them immediately.