[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: Sunday, February 15th, 2026 — 7:11 AM (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.


The user wants me to run an X scraper script to check for new deals from monitored accounts. Let me execute this command and report the results.

exec

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


Command still running (session cool-orbit, pid 3727342). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


The command is still running. Let me poll it to see the output.


(no new output)

Process still running.


Still running, let me wait a bit more and poll again.


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


(no output yet)


Let me wait a bit more and check again. The script might be doing web scraping which can take time.

cd /home/crogers2287/openclaw-workspaces/ghc-marketing && timeout 90 python3 scripts/x_deal_scraper.py 2>&1


Command still running (session dawn-basil, pid 3730709). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


The command is still running. Let me check on it again and see if there's any output.


Still no output. Let me wait a bit and try again. The script might be doing network requests which take time.


Let me wait a bit longer and check the logs again.


The script seems to be hanging or taking a very long time. Let me try to check if the script even exists and what it does.

ls -la /home/crogers2287/openclaw-workspaces/ghc-marketing/scripts/ 2>&1 || echo "Directory not found"


total 296
drwx---rwx  3 crogers2287 crogers2287  4096 Feb 15 03:10 .
drwxr-xr-x 12 crogers2287 crogers2287  4096 Feb 15 03:12 ..
-rw-rw-r--  1 crogers2287 crogers2287  2652 Feb 12 02:45 README-deal-scorer.md
drwxrwxr-x  2 crogers2287 crogers2287  4096 Feb 15 01:28 __pycache__
-rw-r--r--  1 crogers2287 crogers2287  1218 Feb 11 17:48 blast_validated.py
-rw-r--r--  1 crogers2287 crogers2287   714 Feb 11 17:48 check_pin_login.py
-rw-r--r--  1 crogers2287 crogers2287  1610 Feb 11 17:48 create-pinterest-boards.js
-rw-r--r--  1 crogers2287 crogers2287  1446 Feb 11 17:48 cycle_repost.py
-rw-rw-r--  1 crogers2287 crogers2287 18741 Feb 12 02:44 deal_scorer.py
-rw-r--r--  1 crogers2287 crogers2287  1049 Feb 11 17:48 fetch_deals.py
-rw-r--r--  1 crogers2287 crogers2287  2755 Feb 11 17:48 final_repost_pin.py
-rw-r--r--  1 crogers2287 crogers2287  1266 Feb 11 17:48 final_repost_x.py
-rw-r--r--  1 crogers2287 crogers2287  2479 Feb 11 17:48 finish_pinterest.py
-rw-r--r--  1 crogers2287 crogers2287   819 Feb 11 17:48 fix_blog_format.py
-rw-r--r--  1 crogers2287 crogers2287  1603 Feb 11 17:48 fix_x_post.py
-rw-r--r--  1 crogers2287 crogers2287   326 Feb 11 17:48 get_deal.py
-rw-r--r--  1 crogers2287 crogers2287   478 Feb 11 17:48 init_posted_db.py
-rw-r--r--  1 crogers2287 crogers2287   691 Feb 11 17:48 mark_posted.py
-rw-r--r--  1 crogers2287 crogers2287  2021 Feb 11 17:48 nuke_and_fix_all.py
-rw-r--r--  1 crogers2287 crogers2287  1394 Feb 11 17:48 nuke_and_repost.py
-rw-r--r--  1 crogers2287 crogers2287  2040 Feb 11 17:48 nuke_blog_pin.py
-rw-r--r--  1 crogers2287 crogers2287   883 Feb 11 17:48 nuke_blog_social.py
-rw-r--r--  1 crogers2287 crogers2287  2464 Feb 11 17:48 pin_click_publish.py
-rw-r--r--  1 crogers2287 crogers2287  1959 Feb 11 17:48 pin_debug.py
-rw-r--r--  1 crogers2287 crogers2287  3024 Feb 11 17:48 pin_fix.py
-rw-r--r--  1 crogers2287 crogers2287  3120 Feb 11 17:48 pin_nuke_repost.py
-rw-r--r--  1 crogers2287 crogers2287  3700 Feb 11 17:48 pin_post_direct.py
-rw-r--r--  1 crogers2287 crogers2287  2150 Feb 11 17:48 pin_post_file.py
-rw-r--r--  1 crogers2287 crogers2287  6097 Feb 11 17:48 pin_post_v2.py
-rw-r--r--  1 crogers2287 crogers2287  3642 Feb 11 17:48 pin_publish.py
-rw-r--r--  1 crogers2287 crogers2287  2804 Feb 11 17:48 pin_repost.py
-rw-r--r--  1 crogers2287 crogers2287  5798 Feb 11 17:48 pin_v5.py
-rw-r--r--  1 crogers2287 crogers2287  2089 Feb 11 17:48 post_8pm_pin.py
-rw-r--r--  1 crogers2287 crogers2287  1080 Feb 11 17:48 post_8pm_x.py
-rw-r--r--  1 crogers2287 crogers2287  4459 Feb 12 14:09 post_blog_v2.py
-rwxrwxr-x  1 crogers2287 crogers2287 21154 Feb 15 01:28 post_deal_safe.py
-rw-r--r--  1 crogers2287 crogers2287  2298 Feb 11 17:48 post_pinterest_deal.py
-rw-r--r--  1 crogers2287 crogers2287  1973 Feb 11 17:48 post_x_deal.py
-rw-rw-r--  1 crogers2287 crogers2287  4633 Feb 11 19:08 posted_db.py
-rw-r--r--  1 crogers2287 crogers2287  2919 Feb 11 17:48 publish-blogs.ps1
-rw-r--r--  1 crogers2287 crogers2287  1697 Feb 11 17:48 repost_blog_v2_pin.py
-rw-r--r--  1 crogers2287 crogers2287   684 Feb 11 17:48 repost_blog_v2_x.py
-rw-r--r--  1 crogers2287 crogers2287   749 Feb 11 17:48 republish_blog.py
-rw-r--r--  1 crogers2287 crogers2287  1166 Feb 11 17:48 scrub_imageless.py
-rw-r--r--  1 crogers2287 crogers2287   804 Feb 11 17:48 scrub_x_duplicates.py
-rwxrwxr-x  1 crogers2287 crogers2287  2610 Feb 12 14:53 send_email.py
-rw-r--r--  1 crogers2287 crogers2287  1788 Feb 11 17:48 the_final_verified_post.py
-rw-r--r--  1 crogers2287 crogers2287   585 Feb 11 17:48 update_blog_slug.py
-rwxrwxr-x  1 crogers2287 crogers2287   989 Feb 14 14:58 utm_link.py
-rwxrwxr-x  1 crogers2287 crogers2287  3315 Feb 12 12:45 validate_tweet.py
-rw-r--r--  1 crogers2287 crogers2287   811 Feb 11 17:48 validator.py
-rwxrwxr-x  1 crogers2287 crogers2287 27137 Feb 15 04:12 x_deal_scraper.py
-rwxrwxr-x  1 crogers2287 crogers2287  8672 Feb 15 03:10 x_priority_poster.py


The script exists. Let me read it to understand what it does and why it might be hanging. Also, let me kill the running processes first.


No active session found for cool-orbit


Killed session dawn-basil.


Let me read the script to understand what it does.


#!/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,
        "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

[672 more lines in file. Use offset=101 to continue.]


Let me read more of the file to understand the scrape functionality.


    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

[573 more lines in file. Use offset=200 to continue.]


Let me read more to see the main scrape function.


        if deal["store"]:
            break

    # URL extraction
    url_pattern = r'https?://[^\s<>"{}|\\^`\[\]]+'
    urls = re.findall(url_pattern, tweet_text)
    if urls:
        deal["product_url"] = urls[0]

    # Title extraction - look for product mentions
    title_patterns = [
        r'(?:Get|Grab|Score| snag )\s*([^\n.]+?)(?:\s+for\s+|\s+at\s+|\s+-\s+|\s+–\s+)',
        r'([^\n.]{20,80}?)(?:\s+is\s+\$|\s+only\s+\$|\s+just\s+\$)',
    ]

    for pattern in title_patterns:
        match = re.search(pattern, tweet_text, re.IGNORECASE)
        if match:
            deal["title"] = match.group(1).strip()[:150]
            break

    # If no title found, use first line
    if not deal["title"]:
        first_line = tweet_text.split('\n')[0][:150]
        deal["title"] = first_line

    # Category detection
    category_keywords = {
        1: ["tech", "electronics", "laptop", "phone", "headphones", "gaming", "tv", "computer"],
        2: ["home", "kitchen", "furniture", "decor", "appliance", "tool"],
        3: ["fashion", "clothing", "shoes", "apparel", "jewelry", "watch"],
        4: ["toy", "game", "lego", "nintendo", "playstation", "xbox"],
        5: ["sports", "outdoor", "fitness", "gym", "camping", "exercise"],
        8: ["book", "kindle", "novel", "audiobook"],
        9: ["food", "grocery", "snack", "coffee", "tea"],
        10: ["pet", "dog", "cat", "animal"],
    }

    text_lower = tweet_text.lower()
    for cat_id, keywords in category_keywords.items():
        for kw in keywords:
            if kw in text_lower:
                deal["category"] = cat_id
                break
        if deal["category"]:
            break

    # Check if this looks like a deal
    if deal["price"] and (deal["store"] or deal["discount_percentage"]):
        return deal

    return None

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:

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I see. The script uses Playwright to connect to a Chrome instance via CDP on the Maya VM. Let me continue reading and then try to understand why it's hanging - probably the connection to Maya VM. Let me check if there's a simpler way to run this or see what the full scrape function does.


                    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:
    """
    Import a scraped deal into the GottaHaveCoups system.
    Returns True if successful.
    """
    # For now, we'll create a draft deal that can be reviewed
    # In production, this would POST to the GHC API

    draft_deal = {
        "title": deal["title"],
        "description": f"Scraped from X @{source_account}",
        "price": deal["price"],
        "original_price": deal.get("original_price"),
        "discount_percentage": deal.get("discount_percentage"),
        "store_name": deal.get("store", "Unknown"),
        "category_id": deal.get("category", 1),
        "source": f"X:@{source_account}",
        "deal_url": deal.get("product_url", ""),
        "image_url": deal.get("image_url", ""),
        "quality_score": 50,  # Boost priority
        "is_hot": True,
        "is_featured": True,
        "scraped_at": datetime.now(timezone.utc).isoformat(),
        "needs_review": True  # Flag for manual review
    }

    # Save to scraped deals file
    scraped = load_scraped_deals()

    # Check for duplicates (by title + price)
    for existing in scraped:
        if (existing.get("title") == draft_deal["title"] and
            existing.get("price") == draft_deal["price"]):
            print(f"   ⚠  Duplicate deal skipped: {draft_deal['title'][:50]}...")
            return False

    scraped.append(draft_deal)
    save_scraped_deals(scraped)

    print(f"   ✅ Imported: {draft_deal['title'][:60]}...")
    return True

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

    if not config["accounts"]:

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Let me read the rest of the file to see the full run_scraper function.


        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;
        }

[273 more lines in file. Use offset=500 to continue.]


Let me read the final parts including the main function.


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;
            border-radius: 12px;
            text-align: center;
        }
        .stat-value { font-size: 2em; font-weight: 700; color: #1d9bf0; }
        .stat-label { color: #94a3b8; font-size: 0.9em; }
        .toggle-row {
            display: flex;
            justify-content: space-between;
            align-items: center;
            padding: 15px 0;
            border-bottom: 1px solid #334155;
        }
        .toggle-switch {
            position: relative;
            width: 50px;
            height: 26px;
        }
        .toggle-switch input { opacity: 0; width: 0; height: 0; }
        .slider {
            position: absolute;
            cursor: pointer;
            top: 0; left: 0; right: 0; bottom: 0;
            background-color: #334155;
            transition: .4s;
            border-radius: 26px;
        }
        .slider:before {
            position: absolute;
            content: "";
            height: 18px;
            width: 18px;
            left: 4px;
            bottom: 4px;
            background-color: white;
            transition: .4s;
            border-radius: 50%;
        }
        input:checked + .slider { background-color: #1d9bf0; }
        input:checked + .slider:before { transform: translateX(24px); }
        .run-btn {
            width: 100%;
            padding: 16px;
            font-size: 1.1em;
            background: linear-gradient(90deg, #22c55e, #16a34a);
        }
    </style>

🐦 X Deal Scraper

Monitor X accounts for deals and import to GottaHaveCoups

📊 Stats

[173 more lines in file. Use offset=600 to continue.]


Let me get the main function at the end of the file.


0

Accounts

0

Deals Found

--

Last Scrape

➕ Add Account

                <input type="text" id="new-username" placeholder="@username (without @)">
                <input type="text" id="new-category" placeholder="Category (optional)" style="flex: 0.5;">
                <button onclick="addAccount()">Add Account</button>

📱 Monitored Accounts

No accounts configured

⚙ Settings

                Auto-import deals

                    <input type="checkbox" id="auto-import" checked>

                Priority boost (post first)

                    <input type="checkbox" id="priority-boost" checked>

                Scrape interval: 30 minutes

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


Let me get the final part of the file to see the main function.


                category: category || 'general',
                added_at: new Date().toISOString(),
                deals_found: 0,
                active: true
            });

            localStorage.setItem('x_scraper_config', JSON.stringify(config));
            document.getElementById('new-username').value = '';
            document.getElementById('new-category').value = '';
            renderAccounts();
        }

        function removeAccount(username) {
            config.accounts = config.accounts.filter(a => a.username !== username);
            localStorage.setItem('x_scraper_config', JSON.stringify(config));
            renderAccounts();
        }

        function runScraper() {
            alert('In production, this would trigger the scraper. Run: python3 x_deal_scraper.py');
        }

        // Initial render
        renderAccounts();
    </script>
</body>
</html>'''

    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')
    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()


Now I understand the script. It tries to connect to the Maya VM via SSH to run Playwright scrapes. The script was hanging because it's trying to SSH to `maya@maya` which might not be available.

Let me check the config and see if there are any accounts configured. Then I should run the scraper but the SSH connection to Maya will likely fail or hang.

Let me check if there's a config file and what accounts are being monitored.

Let me check the current scraper configuration and then attempt to run it with a timeout to avoid hanging:


X (Twitter) Accounts to Scrape for Deals


There are 3 accounts configured. The last scrape was at 07:11:51 which was just a few minutes ago. The scraper requires SSH access to the Maya VM which is where Chrome/Playwright runs.

Let me check if Maya VM is reachable, and if not, I'll report that in the summary.

ssh -o ConnectTimeout=5 -o BatchMode=yes maya@maya echo "Maya VM reachable" 2>&1 || echo "Maya VM unreachable"


Warning: Permanently added 'maya' (ED25519) to the list of known hosts.
Maya VM reachable


Maya VM is reachable. Now let me run the scraper with a longer timeout. The issue earlier was probably just that the script takes time to SSH, run Playwright, scrape, and return results.

Maya VM is reachable. Let me run the scraper now:

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


Command still running (session clear-crest, pid 3741112). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


(no output yet)


Let me wait a bit longer and poll again.


(no new output)

Process still running.


Let me wait a bit longer. The script is connecting to Maya VM and running Playwright there which can take time.


The script is still running. Let me wait a bit more and check again.


Still no output. Let me wait a bit longer.


This is taking a long time. The script might be stuck waiting for Chrome CDP connection or the SSH command might be hanging. Let me try killing this and running it with some debug output to see what's happening.


No active session found for clear-crest


Let me check the process list directly and see if the script is still running.

ps aux | grep x_deal_scraper | grep -v grep


The process is not running anymore. Let me check if the scraper is actually stuck on the SSH command or the Playwright script. Let me try running a simple SSH command to Maya to test the Python/Playwright setup.

ssh maya@maya "python3 -c 'import playwright; print(\"Playwright available\")'" 2>&1


Warning: Permanently added 'maya' (ED25519) to the list of known hosts.
Playwright available


Playwright is available on Maya. Let me check if Chrome is running with CDP enabled on port 9222.

ssh maya@maya "curl -s http://localhost:9222/json/version 2>&1 || echo 'Chrome CDP not available'"


Warning: Permanently added 'maya' (ED25519) to the list of known hosts.
{
   "Browser": "Chrome/144.0.7559.109",
   "Protocol-Version": "1.3",
   "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36",
   "V8-Version": "14.4.258.23",
   "WebKit-Version": "537.36 (@6a8d5e49388fcc8a7d56d2a275e4ef424eb10960)",
   "webSocketDebuggerUrl": "ws://localhost:9222/devtools/browser/fbedbbb6-5bef-44ad-8b7b-e8bea53bd794"
}


Chrome CDP is running. Let me try running the scraper again but this time I'll run it with unbuffered output so we can see what's happening in real-time.

Chrome CDP is running. Let me run the scraper with unbuffered output:

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


Command still running (session crisp-meadow, pid 3751930). Use process (list/poll/log/write/kill/clear/remove) for follow-up.

🚀 Starting X Deal Scraper
   Accounts: 3
   Auto-import: ON

🔍 Scraping @dealsfinderio...
✅ Found 0 tweets from @dealsfinderio

🔍 Scraping @glitcheddeals...


🚀 Starting X Deal Scraper
   Accounts: 3
   Auto-import: ON

🔍 Scraping @dealsfinderio...
✅ Found 0 tweets from @dealsfinderio

🔍 Scraping @glitcheddeals...


Good, the scraper is running. It's processing accounts. Let me wait for it to finish.


🚀 Starting X Deal Scraper
   Accounts: 3
   Auto-import: ON

🔍 Scraping @dealsfinderio...
✅ Found 0 tweets from @dealsfinderio

🔍 Scraping @glitcheddeals...
✅ Found 0 tweets from @glitcheddeals

🔍 Scraping @fatkiddeals...

Process still running.


Good progress. 2 accounts done, 1 remaining. Let me wait for it to complete.


(no new output)

Process still running.


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


🚀 Starting X Deal Scraper
   Accounts: 3
   Auto-import: ON

🔍 Scraping @dealsfinderio...
✅ Found 0 tweets from @dealsfinderio

🔍 Scraping @glitcheddeals...
✅ Found 0 tweets from @glitcheddeals

🔍 Scraping @fatkiddeals...


Still running the third account. Let me wait more.


🚀 Starting X Deal Scraper
   Accounts: 3
   Auto-import: ON

🔍 Scraping @dealsfinderio...
✅ Found 0 tweets from @dealsfinderio

🔍 Scraping @glitcheddeals...
✅ Found 0 tweets from @glitcheddeals

🔍 Scraping @fatkiddeals...
✅ Found 0 tweets from @fatkiddeals

📊 Scrape Complete
   Total deals found: 0
   New deals imported: 0
   Next scrape: ~30 minutes

Process exited with code 0.


The scraper completed. It scraped 3 accounts but found 0 tweets and 0 deals. This is likely due to X's anti-scraping measures or rate limiting. The scraper uses Playwright to connect to an existing Chrome instance, but X may be blocking or requiring authentication.

Let me write up a summary for the user.

**X Account Scraper - Run Complete**

**Time:** Sunday, February 15th, 2026 — 7:11 AM (UTC)

**Results:**
- ✅ Successfully scraped **3 monitored accounts**
  - @dealsfinderio — 0 tweets found
  - @glitcheddeals — 0 tweets found
  - @fatkiddeals — 0 tweets found
- 📊 **Total deals found:** 0
- 📊 **New deals imported:** 0

**Note:** The scraper ran successfully but returned 0 tweets from all accounts. This is likely due to X's anti-scraping protections (rate limiting, authentication requirements, or bot detection). The scraper connects via Chrome CDP on the Maya VM, but X may require logged-in sessions to view tweet content now.

**Recommendations:**
- Consider adding authentication cookies to the Chrome session on Maya VM
- Check if the monitored accounts are still active/have public tweets
- Alternative: Use X's API v2 with proper authentication instead of scraping