shipped my first openclaw skill: zillow-full. built it because manual property research was eating my weekends.

been wholesaling part-time for 3 years. pulling zestimate, tax history, price history, schools, comps per candidate property = \~4 hrs each. tried apify (cost walls), rentcast (data gaps). nothing gave claude the right shape of data to actually reason about a deal. so i built it. zillow-full is now live: openclaw skills install zillow-full what's in it: * search\_listings(filters) → bbox / zip / status search * lookup\_property\_by\_address(addr) → geocode + zpid resolution * lookup\_property\_by\_zpid(zpid) → core attrs, price/tax history * get\_zestimate(zpid) → zestimate + rent zestimate ONE USE CASE (mine, to show what this unlocks) nightly cron pulls every new listing in 4 target zips, claude scores each against my deal criteria, 80+ scores text me at 6am. wholesale deals went from 2/mo → 11/mo. OBVIOUS OTHER USE CASES (please go build these so i can use them) * short-term rental analysis (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 WHAT I'M ADDING NEXT * permit history (renovation potential) * listing-description sentiment ("motivated seller" / "estate" / "as-is") * async optimization for >500 zpid batch lookups what are you all building on openclaw? curious what's in flight especially anyone wrapping other paid data sources, i'd love to compare caching + tool-surface notes.