Cómo ejecutar la auditoría de seguridad de la marca del creador de TikTok

import os, requests, json
from collections import Counter

API_KEY = os.environ['SCAVIO_API_KEY']
TH = {'Authorization': f'Bearer {API_KEY}', 'Content-Type': 'application/json'}
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}

def get_creator_profile(username):
    data = requests.post('https://api.scavio.dev/api/v1/tiktok/user/profile',
        headers=TH, json={'username': username}).json()
    profile = data.get('user', data.get('data', {}).get('user', {}))
    stats = data.get('stats', data.get('data', {}).get('stats', {}))
    return {'username': profile.get('uniqueId', username),
            'nickname': profile.get('nickname', ''),
            'followers': stats.get('followerCount', 0),
            'following': stats.get('followingCount', 0),
            'likes': stats.get('heartCount', 0),
            'videos': stats.get('videoCount', 0)}

def get_recent_posts(username, count=20):
    data = requests.post('https://api.scavio.dev/api/v1/tiktok/user/posts',
        headers=TH, json={'username': username, 'count': count}).json()
    posts = data.get('posts', data.get('data', {}).get('posts', []))
    return [{'id': p.get('id', ''), 'desc': p.get('desc', ''),
             'plays': p.get('stats', {}).get('playCount', 0),
             'likes': p.get('stats', {}).get('diggCount', 0),
             'comments': p.get('stats', {}).get('commentCount', 0)} for p in posts]

username = 'example_creator'
profile = get_creator_profile(username)
print(f'Profile: @{profile["username"]}')
print(f'  Followers: {profile["followers"]:,} | Videos: {profile["videos"]} | Likes: {profile["likes"]:,}')
posts = get_recent_posts(username)
print(f'  Recent posts fetched: {len(posts)}')
print(f'Cost: $0.010')

RISKY_TOPICS = {
    'political': ['politics', 'election', 'democrat', 'republican', 'trump', 'biden', 'maga'],
    'controversy': ['drama', 'expose', 'cancelled', 'canceled', 'scandal', 'callout', 'beef'],
    'adult': ['nsfw', 'onlyfans', '18+', 'adult content'],
    'scam': ['crypto scam', 'get rich quick', 'mlm', 'pyramid', 'ponzi'],
    'violence': ['fight', 'violent', 'weapon', 'blood', 'gore'],
}

def content_safety_scan(posts):
    flags = []
    for post in posts:
        desc = post.get('desc', '').lower()
        for category, keywords in RISKY_TOPICS.items():
            for kw in keywords:
                if kw in desc:
                    flags.append({
                        'category': category,
                        'keyword': kw,
                        'post_desc': post['desc'][:60],
                        'post_id': post['id']
                    })
    # Engagement authenticity check
    if posts:
        avg_plays = sum(p['plays'] for p in posts) / len(posts)
        avg_likes = sum(p['likes'] for p in posts) / len(posts)
        engagement_rate = avg_likes / avg_plays if avg_plays > 0 else 0
        if engagement_rate < 0.01:
            flags.append({'category': 'authenticity', 'keyword': 'low engagement rate',
                          'post_desc': f'Avg {engagement_rate:.4f} (normal: 0.03-0.08)'})
    print(f'\n=== Content Safety Scan ===')
    print(f'  Posts analyzed: {len(posts)}')
    print(f'  Flags found: {len(flags)}')
    if flags:
        by_category = Counter(f['category'] for f in flags)
        for cat, count in by_category.most_common():
            print(f'    [{cat}]: {count} flags')
            for f in [x for x in flags if x['category'] == cat][:2]:
                print(f'      "{f["keyword"]}" in: {f["post_desc"]}')
    return flags

flags = content_safety_scan(posts)

def reputation_check(username):
    """Search web for creator reputation signals."""
    checks = [
        f'@{username} tiktok controversy',
        f'@{username} tiktok scam',
        f'@{username} tiktok cancelled',
    ]
    reputation_flags = []
    for query in checks:
        data = requests.post('https://api.scavio.dev/api/v1/search',
            headers=SH, json={'query': query, 'country_code': 'us', 'num_results': 3}).json()
        results = data.get('organic_results', [])
        for r in results:
            title = r.get('title', '').lower()
            if any(w in title for w in ['scam', 'controversy', 'cancelled', 'exposed', 'fraud']):
                reputation_flags.append({'query': query, 'title': r['title'][:60], 'link': r.get('link', '')})
    print(f'\n=== Reputation Check ===')
    if reputation_flags:
        print(f'  WARNING: {len(reputation_flags)} reputation issues found:')
        for f in reputation_flags:
            print(f'    - {f["title"]}')
    else:
        print(f'  CLEAN: No reputation issues found in web search.')
    print(f'  Cost: ${len(checks) * 0.005:.3f}')
    return reputation_flags

rep_flags = reputation_check(username)

# Final audit summary
print(f'\n=== BRAND SAFETY AUDIT SUMMARY ===')
total_flags = len(flags) + len(rep_flags)
if total_flags == 0:
    print(f'  PASS: @{username} is brand-safe')
elif total_flags <= 3:
    print(f'  CAUTION: @{username} has {total_flags} minor flags. Review manually.')
else:
    print(f'  FAIL: @{username} has {total_flags} flags. Do not partner.')