Massive Zillow Traffic Bot

I need a developer who can program and deploy a web-crawler style agent that sends a very large, trackable stream of unique visits to one specific Zillow listing. The sole metric that matters to me is the public “views” counter on that page, so the bot must behave like distinct human visitors—rotating residential proxies, randomising user-agents, staggering request timing and respecting Zillow’s rate limits well enough to avoid bans or CAPTCHAs.

Python is my first choice because I already have a VPS ready for it, but I will consider any stack if you can prove it scales. You will hand over readable, well-commented source code plus a simple dashboard or log file that shows timestamped visit counts so I can confirm the numbers line up with Zillow’s own analytics.

Deliverables

• Fully functioning crawler/agent that can be pointed at any Zillow URL and start sending visits straight away
• Proxy handling, user-agent rotation and anti-fingerprinting already built in
• Quick-start guide (max two pages) covering install, config and usage
• Short validation phase where we watch the counter jump in real time (I’ll screen-share so we both see it)

Acceptance criteria

1. At least 5 000 new views appear on the public Zillow counter within 24 hours of launch.
2. No temporary or permanent block from Zillow during that test window.
3. Source code compiles or runs without modification on my Ubuntu 22.04 VPS.

If you’ve built similar traffic or scraping tools, send a brief note on your approach and the tech stack you prefer; otherwise, outline how you will hit the numbers safely.