Tools

Zillow-Full: An OpenClaw Skill That Turned Manual Property Research Into an Automated Deal Pipeline

✍️ OpenClawRadar📅 Published: May 12, 2026🔗 Source
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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-full

Available Tools

  • search_listings(filters) — search by bounding box, zip, or listing status
  • lookup_property_by_address(addr) — geocode + resolve ZPID
  • lookup_property_by_zpid(zpid) — core attributes, price history, tax history
  • get_zestimate(zpid) — zestimate + rent zestimate
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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

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