Zillow-Full: An OpenClaw Skill That Turned Manual Property Research Into an Automated Deal Pipeline
A part-time wholesaler spent 3 years scraping Zillow data manually — pulling zestimate, tax history, price history, schools, and comps for each candidate property took ~4 hours each. Existing tools like Apify (cost walls) and RentCast (data gaps) didn't give LLMs the structured data needed to reason about deals. So they built zillow-full, an OpenClaw skill now live.
Installation
openclaw skills install zillow-fullAvailable Tools
search_listings(filters)— search by bounding box, zip, or listing statuslookup_property_by_address(addr)— geocode + resolve ZPIDlookup_property_by_zpid(zpid)— core attributes, price history, tax historyget_zestimate(zpid)— zestimate + rent zestimate
Use Case: Automated Wholesale Deal Sourcing
A nightly cron runs to pull every new listing across 4 target ZIP codes. Claude scores each against the user's deal criteria, and results (80+ scored listings) are texted at 6am. Before this skill, they closed 2 wholesale deals per month; after, 11 per month.
Other Potential Use Cases
- Short-term rental analysis: compare cap rate vs rent zestimate
- Fix-and-flip lead scoring agents
- Buyer's agents auto-screening listings for clients
- Relocation househunting bots: 'find me a house under $X with...'
- Portfolio underwriting for small LPs
Planned Additions
- Permit history (renovation potential)
- Listing-description sentiment analysis (e.g., 'motivated seller', 'estate', 'as-is')
- Async optimization for batch lookups exceeding 500 ZPIDs
📖 Read the full source: r/openclaw
👀 See Also
Nudge: A local-first app that surfaces Claude-generated plans via contextual triggers
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AI Agent Session Center: 3D Dashboard for Monitoring Claude Code Sessions
AI Agent Session Center is a real-time dashboard that visualizes Claude Code sessions as 3D robots in a cyberdrome, with animations showing agent status and features including live terminal views, approval alerts, and session resume. It installs via npx with lightweight bash hooks.
Context-Engineered Study System for Claude Code Acts as Persistent Tutor
A developer built a study system using Claude Code that tracks progress across sessions, probes understanding, works through exercises, and adapts to learning styles. The system uses structured markdown files to shape agent behavior and includes tools for extracting textbook pages from PDFs.
Freddy MCP Server: Give Your OpenClaw Agent Read Access to Personal Health Data
Freddy is a personal health data server that exposes sleep, recovery, training load, and more as an MCP server, allowing OpenClaw agents to reason over real body data.