Install
openclaw skills install tiktok-androidAutomate TikTok engagement on Android using ADB. Search topics, comment with AI or templates, includes setup wizard. Use for TikTok automation campaigns and building social presence through strategic commenting.
openclaw skills install tiktok-androidAutomate TikTok engagement on Android using ADB. No web scraping, no CAPTCHA, 100% success rate.
The skill includes an interactive setup wizard that runs automatically:
python3 tiktok_bot.py search --topics fitness --videos 5
Or run setup manually:
python3 setup.py
The wizard asks:
Setup saves to config.py and .env (both gitignored).
Search for topics and comment on related videos:
# Single topic, 5 videos
python3 tiktok_bot.py search --topics fitness --videos 5
# Multiple topics, 3 videos each
python3 tiktok_bot.py search --topics "fitness,cooking,travel" --videos 3
# Specify device (optional)
python3 tiktok_bot.py search --topics gaming --videos 5 --device 001431538002547
Flow:
Comment on random videos from For You feed:
# Comment on 10 random videos
python3 tiktok_bot.py explore --videos 10
Flow:
Fast, reliable, no API costs. User provides 6-8 variations per topic.
Example config:
COMMENT_STYLE = "static"
COMMENTS_BY_TOPIC = {
"fitness": [
"That form looks perfect! What's your workout routine?",
"Impressive progress! How long training?",
# ... more variations
]
}
Claude Vision or GPT-4 Vision analyzes video screenshots and generates contextual comments.
Example config:
COMMENT_STYLE = "ai"
AI_PROVIDER = "anthropic"
AI_MODEL = "claude-3-5-sonnet-20241022"
API key in .env:
ANTHROPIC_API_KEY=sk-ant-...
Cost: $0.01-0.05 per comment depending on provider.
After setup, you'll have:
config.py - Topics, comment style, templates/AI settings.env - API key (if AI mode).bot_settings.json - PreferencesAll gitignored by default.
Settings → About Phone → Tap "Build Number" 7 times
Settings → Developer Options → Enable "USB Debugging"
Connect device via USB and authorize computer.
adb devices
# Should show: <device_id> device
adb shell wm size
# Note screen resolution (e.g., 1080x2392)
adb kill-server
adb start-server
adb devices
Re-authorize on device if needed.
Coordinates are optimized for 1080x2392 screens. For different sizes:
adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.pngsrc/bot/android/tiktok_navigation.py:
search_icon_x = 995 # Your X
search_icon_y = 205 # Your Y
See references/COORDINATES.md for detailed coordinate guide.
Check:
.env fileEnsure keyboard is dismissed before tapping Post. The bot does this automatically with KEYCODE_BACK.
✅ Good:
❌ Bad:
openclaw cron add \
--name "Daily TikTok" \
--schedule "0 10 * * *" \
--tz "Your/Timezone" \
--payload '{"kind":"agentTurn","message":"cd /path/to/skill && python3 tiktok_bot.py search --topics fitness,gaming --videos 5"}'
Edit config.py:
AI_COMMENT_PROMPT = """
Analyze this video and generate a comment.
Topic: {topic}
Your custom guidelines here...
- Be enthusiastic
- Ask specific questions
- Reference visible elements
"""
Set ANDROID_DEVICE_ID environment variable:
ANDROID_DEVICE_ID=device1 python3 tiktok_bot.py search --topics fitness --videos 5
Or use --device flag:
python3 tiktok_bot.py search --topics fitness --videos 5 --device device1
tiktok-android-bot/
├── SKILL.md # This file
├── README.md # Comprehensive docs
├── setup.py # Interactive setup wizard
├── tiktok_bot.py # Main script (CLI)
├── config.example.py # Example configuration
├── requirements.txt # Python dependencies
├── scripts/
│ ├── run_full_campaign.py # Legacy: 25-video campaign
│ └── run_complete_session.py # Legacy: 3-video session
├── src/
│ ├── bot/android/
│ │ ├── tiktok_android_bot.py # Core automation
│ │ └── tiktok_navigation.py # Navigation flows
│ ├── ai_comments.py # AI comment generation
│ └── logger.py # Logging utility
└── references/
└── COORDINATES.md # Tap coordinate guide
loguru>=0.7.0
anthropic>=0.18.0 # If using AI mode
openai>=1.12.0 # If using AI mode
ADB must be installed and in PATH.
MIT - Use responsibly. Automated commenting may violate TikTok's ToS.
README.md - Full documentationreferences/COORDINATES.md - Coordinate customization guide