[cron:541ac66e-23e1-40db-8995-866d12d10a0e X Account Scraper - Run Every 30 Min] Run X scraper to check monitored accounts for new deals:

cd /home/crogers2287/openclaw-workspaces/ghc-marketing && python3 scripts/x_deal_scraper.py

Log results to group chat. If new deals found, mention how many were imported.
Current time: Monday, February 16th, 2026 — 12:41 PM (UTC)

Return your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself.


This is a cron job asking me to run the X account scraper script to check for new deals. I need to:
1. Execute the script at the specified path
2. Log the results
3. Report how many deals were found/imported

Let me run the script first.

exec

cd /home/crogers2287/openclaw-workspaces/ghc-marketing && python3 scripts/x_deal_scraper.py


Command still running (session fast-bloom, pid 1449959). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


The script is running in the background. I should poll it to get the results.


(no new output)

Process still running.


Still running. Let me wait a bit more and check again.


Let me check the log to see what's happening.


(no output yet)


No output yet. Let me wait a bit more and poll again.


Let me continue polling to wait for completion.


Still running. Let me check the log again.


The script is taking some time. Let me wait a bit more and poll again.


Still running. Let me check the log one more time.


Still no output. Let me continue waiting and poll again.


The script is still running but not producing output yet. Let me poll again.


The script is taking longer than expected. Let me try polling once more.


(no output recorded)

Process exited with signal SIGKILL.


Oh no, the process was killed by SIGKILL. This likely means the timeout was exceeded (120 seconds). The script must be taking longer than 2 minutes to run. Let me check if there's a log file or try to understand what happened. Let me see if there's any output file or log.

cd /home/crogers2287/openclaw-workspaces/ghc-marketing && ls -lah scripts/x_deal_scraper.py


-rwxrwxr-x 1 crogers2287 crogers2287 27K Feb 15 04:12 scripts/x_deal_scraper.py


The script exists. Let me try running it again but with a longer timeout, or check if there's a log file it writes to.

cd /home/crogers2287/openclaw-workspaces/ghc-marketing && python3 scripts/x_deal_scraper.py 2>&1


Command still running (session swift-meadow, pid 1493475). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


Now with a 5 minute timeout. Let me poll for results.


(no new output)

Process still running.


Still no output. Let me see if I can check what the script does by reading it.


#!/usr/bin/env python3
"""
X (Twitter) Deal Scraper for GottaHaveCoups
============================================

Scrapes specified X accounts for deal posts and imports them into the GHC system.

Usage:
    python3 x_deal_scraper.py                    # Run scrape on all accounts
    python3 x_deal_scraper.py --add @account      # Add account to scrape list
    python3 x_deal_scraper.py --remove @account   # Remove account from list
    python3 x_deal_scraper.py --list              # List all monitored accounts
    python3 x_deal_scraper.py --dashboard         # Launch web dashboard
"""

import json
import os
import sys
import re
import argparse
import subprocess
from datetime import datetime, timezone
from urllib.request import Request, urlopen
from typing import List, Dict, Optional

# Config paths
CONFIG_DIR = "/home/crogers2287/openclaw-workspaces/ghc-marketing/config"
CONFIG_FILE = os.path.join(CONFIG_DIR, "x_scraper_accounts.json")
SCRAPED_DEALS_FILE = os.path.join(CONFIG_DIR, "x_scraped_deals.json")

# GHC API endpoints
GHC_API_BASE = "https://www.gottahavecoups.com/api/v1"
GHC_DEALS_API = f"{GHC_API_BASE}/deals"
GHC_IMPORT_API = f"{GHC_API_BASE}/admin/import-deal"  # Adjust based on actual API

# Maya VM connection for twikit
MAYA_HOST = "maya@maya"

def load_config() -> Dict:
    """Load scraper configuration."""
    if os.path.exists(CONFIG_FILE):
        with open(CONFIG_FILE, 'r') as f:
            return json.load(f)
    return {
        "version": 1,
        "accounts": [],
        "last_scrape": None,
        "scrape_interval_minutes": 30,
        "auto_import": True,

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I see, it's scraping X accounts and it mentions Maya VM connection. Let me continue reading to understand what it does and see if there's any logging or output mechanism.


(no output yet)


Still no output. Let me see if maybe the script is running on Maya VM instead and needs SSH. Let me read more of the script to understand.


        "priority_boost": True,
        "min_deal_score": 30
    }

def save_config(config: Dict):
    """Save scraper configuration."""
    os.makedirs(CONFIG_DIR, exist_ok=True)
    with open(CONFIG_FILE, 'w') as f:
        json.dump(config, f, indent=2)

def load_scraped_deals() -> List[Dict]:
    """Load previously scraped deals to avoid duplicates."""
    if os.path.exists(SCRAPED_DEALS_FILE):
        with open(SCRAPED_DEALS_FILE, 'r') as f:
            return json.load(f)
    return []

def save_scraped_deals(deals: List[Dict]):
    """Save scraped deals history."""
    with open(SCRAPED_DEALS_FILE, 'w') as f:
        json.dump(deals, f, indent=2)

def add_account(username: str, category: str = "general", notes: str = ""):
    """Add an X account to the scrape list."""
    config = load_config()
    username = username.lstrip('@').lower()

    # Check if already exists
    for acc in config["accounts"]:
        if acc["username"].lower() == username:
            print(f"⚠  @{username} is already in the scrape list")
            return False

    config["accounts"].append({
        "username": username,
        "category": category,
        "notes": notes,
        "added_at": datetime.now(timezone.utc).isoformat(),
        "last_scraped": None,
        "active": True,
        "deals_found": 0
    })

    save_config(config)
    print(f"✅ Added @{username} to scrape list")
    return True

def remove_account(username: str):
    """Remove an X account from the scrape list."""
    config = load_config()
    username = username.lstrip('@').lower()

    original_count = len(config["accounts"])
    config["accounts"] = [a for a in config["accounts"] if a["username"].lower() != username]

    if len(config["accounts"]) < original_count:
        save_config(config)
        print(f"✅ Removed @{username} from scrape list")
        return True
    else:
        print(f"⚠  @{username} not found in scrape list")
        return False

def list_accounts():
    """List all accounts being scraped."""
    config = load_config()

    if not config["accounts"]:
        print("\n📭 No X accounts configured for scraping")
        print("\nAdd accounts with: python3 x_deal_scraper.py --add @username")
        return

    print(f"\n📱 X Accounts to Scrape ({len(config['accounts'])} total)\n")
    print(f"{'Username':<20} {'Category':<12} {'Status':<8} {'Deals':<6} {'Last Scraped'}")
    print("-" * 70)

    for acc in config["accounts"]:
        status = "🟢" if acc.get("active", True) else "🔴"
        last_scraped = acc.get("last_scraped", "Never")[:16] if acc.get("last_scraped") else "Never"
        deals = acc.get("deals_found", 0)
        print(f"@{acc['username']:<19} {acc.get('category', 'general'):<12} {status:<8} {deals:<6} {last_scraped}")

    print("\n" + "-" * 70)
    print(f"Auto-import: {'✅ ON' if config.get('auto_import') else '❌ OFF'}")
    print(f"Priority boost: {'✅ ON' if config.get('priority_boost') else '❌ OFF'}")
    print(f"Min deal score: {config.get('min_deal_score', 30)}")

def extract_deal_info(tweet_text: str, tweet_media: List[str] = None) -> Optional[Dict]:
    """
    Extract deal information from a tweet text.
    Returns deal dict or None if no deal detected.
    """
    deal = {

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Let me continue polling to see if the script finishes.


The script appears to be stuck or taking a very long time. Let me check if it's trying to connect to Maya VM which might be causing the delay. Let me read further to see what the main function does.


        <button class="run-btn" onclick="runScraper()">🚀 Run Scraper Now</button>

'''

    with open(path, 'w') as f:
        f.write(html)

def main():
    parser = argparse.ArgumentParser(
        description="X (Twitter) Deal Scraper for GottaHaveCoups",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
Examples:
    python3 x_deal_scraper.py --add @deals_account
    python3 x_deal_scraper.py --add @techdeals --category tech
    python3 x_deal_scraper.py --list
    python3 x_deal_scraper.py --remove @deals_account
    python3 x_deal_scraper.py                    # Run scraper
    python3 x_deal_scraper.py --dashboard       # Open web dashboard
        """
    )

    parser.add_argument('--add', metavar='@username', help='Add an X account to scrape')
    parser.add_argument('--remove', metavar='@username', help='Remove an X account from scraping')
    parser.add_argument('--list', action='store_true', help='List all monitored accounts')

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Let me read the end of the file to see what happens in the main function when no arguments are passed.


    parser.add_argument('--category', default='general', help='Category for the account (with --add)')
    parser.add_argument('--notes', default='', help='Notes about the account (with --add)')
    parser.add_argument('--dashboard', action='store_true', help='Launch web dashboard')
    parser.add_argument('--run', action='store_true', help='Run scraper (default behavior)')

    args = parser.parse_args()

    if args.add:
        add_account(args.add, args.category, args.notes)
    elif args.remove:
        remove_account(args.remove)
    elif args.list:
        list_accounts()
    elif args.dashboard:
        launch_dashboard()
    else:
        # Default: run scraper
        run_scraper()

if __name__ == "__main__":
    main()


So it calls `run_scraper()` by default. Let me find that function to see what it does.

grep -n "^def run_scraper" /home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/x_deal_scraper.py


395:def run_scraper():


def run_scraper():
    """Main scraper routine."""
    config = load_config()

    if not config["accounts"]:
        print("📭 No accounts configured. Add accounts with --add @username")
        return

    print(f"\n🚀 Starting X Deal Scraper")
    print(f"   Accounts: {len(config['accounts'])}")
    print(f"   Auto-import: {'ON' if config.get('auto_import') else 'OFF'}")
    print()

    total_deals = 0
    new_deals = 0

    for account in config["accounts"]:
        if not account.get("active", True):
            continue

        username = account["username"]
        tweets = scrape_account_tweets(username, limit=20)

        account_deals = 0
        for tweet in tweets:
            deal_info = extract_deal_info(tweet.get("text", ""), tweet.get("media", []))
            if deal_info:
                total_deals += 1
                if import_deal_to_ghc(deal_info, username):
                    new_deals += 1
                    account_deals += 1

        # Update account stats
        account["last_scraped"] = datetime.now(timezone.utc).isoformat()
        account["deals_found"] = account.get("deals_found", 0) + account_deals

        print()

    config["last_scrape"] = datetime.now(timezone.utc).isoformat()
    save_config(config)

    print(f"📊 Scrape Complete")
    print(f"   Total deals found: {total_deals}")
    print(f"   New deals imported: {new_deals}")
    print(f"   Next scrape: ~{config['scrape_interval_minutes']} minutes")

def launch_dashboard():
    """Launch the web dashboard for managing accounts."""
    dashboard_path = "/home/crogers2287/openclaw-workspaces/ghc-marketing/x-scraper-dashboard.html"
    print(f"🌐 Launching dashboard...")
    print(f"   File: {dashboard_path}")

    # Create dashboard HTML if it doesn't exist
    if not os.path.exists(dashboard_path):
        create_dashboard_html(dashboard_path)

    # Open in browser
    os.system(f"xdg-open {dashboard_path} 2>/dev/null || open {dashboard_path} 2>/dev/null || echo 'Open {dashboard_path} in your browser'")

def create_dashboard_html(path: str):
    """Create the HTML dashboard file."""
    html = '''<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>X Deal Scraper Dashboard</title>
    <style>
        * { margin: 0; padding: 0; box-sizing: border-box; }
        body {
            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
            background: #0f172a;
            color: #e2e8f0;
            padding: 20px;
        }
        .container { max-width: 1200px; margin: 0 auto; }
        h1 {
            font-size: 2.5em;
            margin-bottom: 10px;
            background: linear-gradient(90deg, #1d9bf0, #1a8cd8);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
        }
        .subtitle { color: #94a3b8; margin-bottom: 30px; }
        .card {
            background: linear-gradient(135deg, #1e293b, #0f172a);
            border-radius: 16px;
            padding: 25px;
            margin-bottom: 25px;
            border: 1px solid #334155;
        }
        .card h2 {
            color: #fbbf24;
            margin-bottom: 20px;
            display: flex;
            align-items: center;
            gap: 10px;
        }
        .add-account {
            display: flex;
            gap: 10px;
            margin-bottom: 20px;
        }
        input {
            flex: 1;
            padding: 12px;
            background: #0f172a;
            border: 1px solid #475569;
            color: #e2e8f0;
            border-radius: 8px;
            font-size: 14px;
        }
        button {
            padding: 12px 24px;
            background: linear-gradient(90deg, #1d9bf0, #1a8cd8);
            color: white;
            border: none;
            border-radius: 8px;
            cursor: pointer;
            font-weight: 600;
            transition: all 0.2s;
        }
        button:hover { transform: translateY(-2px); box-shadow: 0 4px 12px rgba(29,155,240,0.4); }
        button.danger { background: linear-gradient(90deg, #ef4444, #dc2626); }
        .account-list { list-style: none; }
        .account-item {
            display: flex;
            justify-content: space-between;
            align-items: center;
            padding: 15px;
            background: rgba(255,255,255,0.05);
            border-radius: 8px;
            margin-bottom: 10px;
        }
        .account-info { display: flex; flex-direction: column; }
        .account-name { font-weight: 600; color: #1d9bf0; }
        .account-meta { font-size: 0.85em; color: #94a3b8; }
        .actions { display: flex; gap: 10px; }
        .btn-small { padding: 6px 12px; font-size: 0.85em; }
        .stats {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
            gap: 15px;
            margin-bottom: 20px;
        }
        .stat-box {
            background: rgba(255,255,255,0.05);
            padding: 20px;

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Now let me find the `scrape_account_tweets` function which seems to be where the script is hanging.

grep -n "^def scrape_account_tweets" /home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/x_deal_scraper.py


254:def scrape_account_tweets(username: str, limit: int = 20) -> List[Dict]:


def scrape_account_tweets(username: str, limit: int = 20) -> List[Dict]:
    """
    Scrape recent tweets from an X account using Maya VM Chrome/Playwright.
    Returns list of tweet dicts.
    """
    print(f"🔍 Scraping @{username}...")

    try:
        # Create a scraping script to run on Maya VM
        scrape_script = f'''
import asyncio
from playwright.async_api import async_playwright
import json

async def scrape():
    tweets = []
    async with async_playwright() as p:
        try:
            browser = await p.chromium.connect_over_cdp("http://localhost:9222")
            context = browser.contexts[0]
            page = await context.new_page()

            # Go to user's profile
            await page.goto(f"https://x.com/{username}", wait_until="networkidle", timeout=30000)
            await asyncio.sleep(3)

            # Extract tweets
            tweet_elements = await page.locator('article[data-testid="tweet"]').all()

            for tweet in tweet_elements[:{limit}]:
                try:
                    # Get tweet text
                    text_elem = tweet.locator('[data-testid="tweetText"]')
                    text = await text_elem.inner_text() if await text_elem.count() > 0 else ""

                    # Get timestamp
                    time_elem = tweet.locator('time')
                    timestamp = await time_elem.get_attribute('datetime') if await time_elem.count() > 0 else ""

                    if text:
                        tweets.append({{
                            "text": text,
                            "created_at": timestamp,
                            "media": []
                        }})
                except Exception as e:
                    pass

            await page.close()
        except Exception as e:
            print(f"Browser error: {{e}}")

    print(json.dumps(tweets, default=str))

asyncio.run(scrape())
'''

        # Save script to Maya VM
        script_path = f"/tmp/scrape_{username}.py"
        with open(script_path, 'w') as f:
            f.write(scrape_script)

        # Copy to Maya
        subprocess.run(['scp', '-q', script_path, f"{MAYA_HOST}:/tmp/scrape_{username}.py"], check=True)

        # Run the scraper on Maya
        result = subprocess.run(
            ['ssh', MAYA_HOST, f'python3 /tmp/scrape_{username}.py'],
            capture_output=True,
            text=True,
            timeout=60
        )

        if result.returncode != 0:
            print(f"⚠  Error scraping @{username}: {result.stderr}")
            return []

        # Parse output
        output = result.stdout.strip()
        if output:
            try:
                tweets = json.loads(output)
                print(f"✅ Found {len(tweets)} tweets from @{username}")
                return tweets
            except json.JSONDecodeError:
                print(f"⚠  Invalid JSON from @{username}")
                return []

        return []

    except subprocess.TimeoutExpired:
        print(f"⏱  Timeout scraping @{username}")
        return []
    except Exception as e:
        print(f"⚠  Error scraping @{username}: {e}")
        return []

def import_deal_to_ghc(deal: Dict, source_account: str) -> bool:
    """

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Ah I see! The script is trying to SSH to Maya VM and run a Playwright script. The issue is likely that it's hanging on the SSH connection or the SSH/SCP operations. Let me check if the script is still running and then kill it to report the issue.


Killed session swift-meadow.


Good, I killed it. Now let me check if Maya VM is reachable via SSH.

timeout 5 ssh -o ConnectTimeout=5 maya@maya echo "SSH connection OK" 2>&1 || echo "SSH connection FAILED"


SSH connection FAILED


That's the problem! The SSH connection to Maya is failing, which causes the script to hang. Let me check the SSH config to see what the correct hostname should be.


Maya is not in the SSH config. Let me check if there are any tailscale hosts that might be Maya.


100.124.155.26  maya                   tagged-devices          linux    active; relay "mia"; offline, last seen 9h ago, tx 7800 rx 0


Ah! Maya VM is offline. It's been offline for 9 hours. This explains why the SSH connection is failing and the script is hanging. Let me write a report about this.

⚠ **X Account Scraper - FAILED**

**Issue:** Maya VM is offline — script cannot scrape X accounts

**Details:**
- Maya VM (100.124.155.26) has been **offline for 9 hours**
- Script requires SSH connection to Maya for Playwright-based X scraping
- SSH connection timed out, causing script to hang indefinitely

**Next Steps:**
1. **Bring Maya VM online** - The VM needs to be started/restarted
2. **Verify SSH access** - Test with: `ssh maya@100.124.155.26`
3. **Re-run scraper** once Maya is back up

**Technical Details:**
- Script path: `/home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/x_deal_scraper.py`
- Maya VM Tailscale: `100.124.155.26`
- Scraper uses remote Playwright browser on Maya to scrape X profiles

**No deals imported this cycle** due to infrastructure issue.