Automated YouTube Ad Viewer

I need a robust automation that reliably streams around 1,000 skippable YouTube ads every day. The flow is straightforward: load a video, let the ad run long enough to count as viewed, then move on to the next. A percentage of sessions should also register a basic interaction—an occasional click or skip—to mimic normal user behaviour without getting the channel flagged.

Key expectations
• Handles only skippable ads on YouTube; no Facebook or other platforms involved.
• Stays within YouTube’s terms as much as possible—rotating residential proxies, realistic watch-time patterns, randomised intervals, and varied user-agents are essential.
• Simple dashboard or log file showing daily totals, watch duration per ad, and how many interactions occurred.
• Must sustain a 1,000-ad daily target for weeks, so stability and low footprint memory use matter.
• Linux-friendly implementation preferred (Python, Node, or similar) but I’m open to other languages if it keeps deployment simple.

Deliverables
1. Source code or compiled package with clear setup instructions.
2. Configuration file where I can tweak watch count, interaction rate, and proxy list.
3. One-week test run demonstrating it consistently hits the 1,000-ad mark without bans or CAPTCHA interruptions.
4. Brief hand-off call or video walkthrough so I’m comfortable maintaining it.

If you have previous experience automating YouTube views or ad testing suites, that’s a big plus. Feel free to mention any anti-fingerprinting libraries, headless browsers, or container strategies you plan to use so I can gauge fit.