CRE Scraper v2.0

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

Architecture

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
• INLINECODE0 in ~/.claude/settings.json

Usage

Run Crexi scrape (all 21 combinations):
CODEBLOCK1

Run enrichment on unenriched properties:
CODEBLOCK2

Or inside Claude Code:
CODEBLOCK3

Configuration

• - States: FL, GA, NC, TN, AL, LA, ID
• Asset types: rvpark, selfstorage, 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.