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πŸ¦€ ClawHub

CRE Scraper

by @jaceagentic

Scrapes commercial real estate listings from Crexi and LoopNet using Claude in Chrome on a Mac Mini with residential IP. Bypasses Cloudflare bot protection....

Versionv2.0.0
Downloads174
TERMINAL
clawhub install cre-scraper

πŸ“– About This Skill


name: cre-scraper version: 2.0.0 description: Scrapes commercial real estate listings from Crexi and LoopNet using Claude in Chrome on a Mac Mini with residential IP. Bypasses Cloudflare bot protection. Extracts structured financials, broker contacts, and AI investment analysis. Saves to SQLite and syncs to OpenClaw Command Center dashboard. requirements: binaries: - claude - rsync - sqlite3 platform: macOS notes: Requires Claude Code with Claude in Chrome extension. Residential IP required β€” does not work from VPS/datacenter IPs.

CRE Scraper v2.0

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

Architecture

Mac Mini (residential IP + Chrome)
  β†’ /scrape-crexi or /scrape-loopnet slash commands
  β†’ ~/.openclaw/workspace/data/properties.db
  β†’ rsync to VPS staging
  β†’ sync-properties.py β†’ 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 β‰₯ 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 β€” Crexi scrape (ai.crexi.scraper)
  • 8:00am β€” LoopNet scrape (ai.loopnet.scraper)
  • Midnight β€” 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.

    πŸ’‘ Examples

    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
    

    βš™οΈ 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 β‰₯ 40