Audit social media accounts (TikTok, IG, etc.): scrape profiles, calculate engagement metrics, diagnose performance drops, interpret analytics screenshots.
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See how to installReview the instructions the agent will receive before you install.
1. Scrape profile data (if link provided)
2. Extract metrics from screenshots (if provided)
3. Calculate health ratios
4. Diagnose root causes
5. Deliver actionable recommendations
curl -s -L -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
"https://www.tiktok.com/@USERNAME" -o /tmp/tiktok_profile.html
grep -oP '"uniqueId":"[^"]*"|"nickname":"[^"]*"|"signature":"[^"]*"|"followerCount":\d+|"followingCount":\d+|"heartCount":\d+|"videoCount":\d+|"verified":[a-z]+' /tmp/tiktok_profile.html
import json, re
from datetime import datetime
with open('/tmp/tiktok_profile.html') as f:
html = f.read()
match = re.search(
r'<script id="__UNIVERSAL_DATA_FOR_REHYDRATION__"[^>]*>(.*?)</script>',
html, re.DOTALL
)
data = json.loads(match.group(1))
scope = data['__DEFAULT_SCOPE__']
user_info = scope['webapp.user-detail']['userInfo']
user = user_info['user']
stats = user_info['stats']
# Key fields
print(f"Username: @{user['uniqueId']}")
print(f"Bio: {user['signature']}")
print(f"Created: {datetime.fromtimestamp(int(user['createTime']))}")
print(f"Category: {user.get('commerceUserInfo', {}).get('category', 'N/A')}")
print(f"Commerce User: {user.get('commerceUserInfo', {}).get('commerceUser', False)}")
print(f"TT Seller: {user.get('ttSeller', False)}")
print(f"Verified: {user['verified']}")
print(f"Followers: {stats['followerCount']:,}")
print(f"Following: {stats['followingCount']:,}")
print(f"Likes: {stats['heartCount']:,}")
print(f"Videos: {stats['videoCount']}")
# Commerce info, seller status, room ID, account settings
grep -oP '"commerceUserInfo":\{[^}]*\}|"category":"[^"]*"|"ttSeller":[a-z]+|"roomId":"[^"]*"|"privateAccount":[a-z]+|"nickNameModifyTime":\d+|"openFavorite":[a-z]+' /tmp/tiktok_profile.html
grep -oP '"secUid":"[^"]*"' /tmp/tiktok_profile.html | head -1
| Metric | Formula | Healthy Range | Warning |
|---|---|---|---|
| Engagement Rate | (avg_likes / followers) × 100 | 4-8% | <3% is low |
| Likes-to-Follower Ratio | total_likes / followers | 10-20+ | <5 = ghost followers |
| Follower:Following Ratio | followers / following | 50:1+ for brands | <10:1 = follow-for-follow |
| Video Output | videos / account_age_months | 30-90/month (1-3/day) | <10/month is too low |
| LIVE Retention Rate | avg_viewers / total_viewers × 100 | 5-15% | <1% = bounce problem |
| LIVE PCU Ratio | PCU / avg_viewers | 2-4x | >10x = spike then crash |
[Emoji] [What you sell — specific]
[Emoji] LIVE [Schedule — day + time]
[Emoji] [Value prop / price hook]
Example:
👗 Fashion Wanita Murah & Berkualitas
🔴 LIVE Setiap Hari Jam 19:00-21:00
💰 Harga Mulai 25rb!
| Phase | Duration | Focus |
|---|---|---|
| Foundation | Week 1-2 | Fix bio, clean following list, post 2-3 videos/day |
| Warm-up | Week 3-4 | Daily LIVE at consistent time, video teasers before LIVE |
| Scale | Month 2+ | TikTok Promote, collaborations, flash sales during LIVE |
itemList (videos). The profile metadata still comes through in __UNIVERSAL_DATA_FOR_REHYDRATION__. Video-level data requires a real browser or authenticated API."botType": "others" and "needFix": true on bot-detected requests. Profile stats are still accurate; video lists are withheld./api/post/item_list/ return empty responses without proper cookies/tokens. Don't waste time on these.createTime and nickNameModifyTime are Unix timestamps. Use datetime.fromtimestamp().Present audit results as:
references/tiktok-profile-fields.md — All extractable fields from TikTok profile HTMLreferences/tiktok-analytics-terms-id.md — Indonesian↔English analytics terminologyNo reviews yet. Tell others what you thought.
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