Cre Scraper

Cleanup Review

python scripts/_purge_cache.py is an optional cleanup helper for the CRE Scraper v2.0 skill. It may recursively remove /tmp/skill_workdir/*, /tmp/skill_workdir/.cache. Show the exact paths first, explain whether they are skill-private temporary paths or user state, and run the cleanup only after the user confirms.

CRE Scraper v2.0

Scrape commercial real estate listings from Crexi and LoopNet using Claude in Chrome.

Architecture

Mac Mini (residential IP + Chrome)
  → /scrape-crexi or /scrape-loopnet slash commands
  → ~/.openclaw/workspace/data/properties.db
  → rsync to VPS staging
  → sync-properties.py → Command Center dashboard

Requirements

• macOS with Claude Code installed
• Claude in Chrome browser extension active
• Logged into Crexi (crexi.com) and LoopNet (loopnet.com) in Chrome
• SSH key authorized on VPS
• chromeEnabled: true in ~/.claude/settings.json

Usage

Run Crexi scrape (all 21 combinations):

~/.openclaw/skills/cre-scraper/run-scrape.sh

Run enrichment on unenriched properties:

~/.openclaw/skills/cre-scraper/enrich-batch.sh [batch_size]

Or inside Claude Code:

/scrape-crexi
/scrape-loopnet

Configuration

• States: FL, GA, NC, TN, AL, LA, ID
• Asset types: rv_park, self_storage, marina
• Price range: $800K–$3M
• Min units: 50+ (when known)
• Value-add threshold: VAS ≥ 40

What gets scraped

Per listing:

• Address, city, state, zip
• Asking price, cap rate, NOI, occupancy
• Units/pads/slips, SF, year built, acreage
• Pro-forma cap rate and NOI
• Broker name, firm, full phone (click-reveal)
• Description and investment highlights
• AI analysis: IRR, DSCR, Cash-on-Cash, Value-Add Score, AI Confidence

Cron schedule (launchd)

• 7:00am — Crexi scrape (ai.crexi.scraper)
• 8:00am — LoopNet scrape (ai.loopnet.scraper)
• Midnight — Enrichment batch (ai.crexi.enricher)

Trigger phrases

• "scrape new deals"
• "run the Crexi scraper"
• "find new RV parks in Florida"
• "check LoopNet for self storage in Tennessee"
• "enrich unenriched properties"
• "sync deals to dashboard"

Output

Properties saved to ~/.openclaw/workspace/data/properties.db and synced to OpenClaw Command Center dashboard via sync-properties.py.