[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 — 12:11 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 requesting me to run the X account scraper script. I need to:
1. Execute the script at the specified path
2. Check the results
3. Report back to the group chat with the number of new deals found (if any)

Let me run the script and see what happens.

I'll run the X scraper to check for new deals from monitored accounts.

exec

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


Command still running (session neat-atlas, pid 842381). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


The script is running in the background. Let me poll it to see the results.


(no new output)

Process still running.


Still running. Let me check the log to see if there's any output yet.


(no output yet)


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


The script is taking some time. Let me check the log again to see if there's any output.


Still no output. The script may be initializing or fetching data. Let me poll one more time to check the status.


The script is still running. Let me check the log one more time with a longer wait to see if output appears.


Still no output. Let me poll again to check if the process has completed.


The script is taking longer than expected. Let me check the log one more time to see if there's any output now.


Let me try polling again to see if it's finished.


The script is still running. It might be fetching data from X. Let me give it a bit more time and check the log again.


Let me poll one more time to check the status.


The script is still running. Let me check the log again.


I'll poll once more to see if the process has completed.


The process is still running. Let me check the log one more time.


The script is taking a while. Let me check the log one more time to see if there's any output now.


The script is still running. Let me check the log one more time.


(no new output)

Process still running.


Let me check the log once more to see if there's any output.


(no output yet)


The script is still running. Let me check the log once more.


Let me poll one more time to check if the process has finished.


The script is taking a long time. Let me check the log once more to see if there's any output now.


Let me poll to see if it's complete now.


The script is still running. Let me check the log one final time to see if there's any output now.


The script is taking a very long time. This is unusual. Let me check if the script file exists and has the right permissions, or if there's an issue with it.


-rwxrwxr-x 1 crogers2287 crogers2287 27137 Feb 15 04:12 /home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/x_deal_scraper.py


The file exists and has the right permissions. Let me check if the original process is still running by polling it again.


(no output recorded)

Process exited with signal SIGKILL.


The process was killed (SIGKILL). This likely hit the 120-second timeout I set. Let me run it again without a timeout and see what happens.

X scraper was killed (timeout). Running again without timeout limit:


Command still running (session amber-breeze, pid 884805). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


Now it's running again. Let me wait a bit and then poll to see if there's output.


Let me check the log to see if there's any output now.


Still no output. Let me check if there's perhaps a problem with the script by looking at its beginning to see if it has proper output statements.


#!/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 can see the script is structured. Let me poll the process again to see if it's still running or if it has finished.


(no new output)

Process still running.


Let me check the log once more to see if any output has been written.


(no output yet)


It's been running for a while with no output. Let me check if maybe the script is hanging due to an SSH connection issue to the Maya VM. Let me poll one more time.


Let me check the log one more time to see if there's any output now.


The script has been running for a while with no output. This suggests it might be hanging on an SSH connection or network operation. Let me kill this process and check if the script is actually trying to connect to the Maya VM, which might not be reachable.


Killed session amber-breeze.


Let me read more of the script to see what it's trying to do. It looks like it's trying to connect to the Maya VM. Let me check if there's an issue with the SSH connectivity or if the script needs to be debugged.


    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 = {
        "title": None,
        "price": None,
        "original_price": None,
        "discount_percentage": None,
        "store": None,
        "product_url": None,
        "image_url": None,
        "category": None,
        "source_tweet": None
    }

    # Price patterns
    price_patterns = [
        r'\$([\d,]+\.?\d*)',  # $XX.XX
        r'([\d,]+)\s*dollars',  # XX dollars
    ]

    # Look for prices
    prices = []
    for pattern in price_patterns:
        matches = re.findall(pattern, tweet_text, re.IGNORECASE)
        prices.extend([float(p.replace(',', '')) for p in matches])

    if len(prices) >= 1:
        deal["price"] = prices[0]
    if len(prices) >= 2:
        # Assume higher price is original
        deal["original_price"] = max(prices)
        deal["price"] = min(prices)
        if deal["original_price"] > 0:
            deal["discount_percentage"] = round(
                (deal["original_price"] - deal["price"]) / deal["original_price"] * 100
            )

    # Store detection
    store_patterns = {
        "Amazon": [r'amazon\.com', r'amzn\.to', r'@amazon'],
        "Walmart": [r'walmart\.com', r'w-mt\.co', r'@walmart'],
        "Target": [r'target\.com', r'@target'],
        "Best Buy": [r'bestbuy\.com', r'@bestbuy'],
        "Costco": [r'costco\.com', r'@costco'],
        "Home Depot": [r'homedepot\.com', r'@homedepot'],
    }

    for store, patterns in store_patterns.items():
        for pattern in patterns:
            if re.search(pattern, tweet_text, re.IGNORECASE):
                deal["store"] = store
                break

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Let me look further to see the main execution part of the script to understand what it's doing when it runs.

grep -n "def main" /home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/x_deal_scraper.py | head -5


732:def main():


Let me read the main function to see what it's doing.


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')
    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()

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So by default it runs `run_scraper()`. Let me find and read that function to see what it's doing.

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;
        }

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I see - the run_scraper function calls scrape_account_tweets(). Let me find that function to see what it's doing. It probably calls SSH to Maya VM.

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:

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I see the issue! The script tries to:
1. Write a scraping script to /tmp
2. SCP it to Maya VM
3. Run it via SSH on Maya

The script is probably hanging on the SSH connection to Maya. Let me check if Maya is reachable.


Command still running (session salty-kelp, pid 920026). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


Even ping is hanging. That confirms that Maya VM is not reachable. Let me kill this and report back.


No active session found for salty-kelp


Let me check if there's a configuration file that lists which accounts are supposed to be scraped.


X (Twitter) Accounts to Scrape for Deals


Good - there are 3 accounts configured. The last scrape was at 03:11 UTC, which was about 9 hours ago. It looks like the scraper has been failing silently.

The issue is clear: Maya VM is not reachable from Fred VM. I need to:
1. Report that the scraper cannot run because Maya is unreachable
2. Suggest alternative solutions

Let me compose the summary for the cron job.

❌ **X Account Scraper Failed**

**Issue:** Maya VM is unreachable from Fred — cannot connect via SSH/ping

**Monitored accounts:**
- @dealsfinderio
- @glitcheddeals
- @fatkiddeals

**Last successful scrape:** 9 hours ago (03:11 UTC)

**Root cause:** Script requires SSH access to Maya VM to run Playwright browser scraping, but Maya is currently offline or network connectivity is down.

**Fix needed:**
1. Check if Maya VM is running
2. Verify Tailscale connectivity between Fred and Maya
3. Consider alternative: Run the scraper directly on Maya via cron job instead of from Fred