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👁 Binance Copy Trading Scraper Banner

🚀 Binance Copy Trading Scraper & Analytics Pro

The ONLY working Binance Copy Trading scraper with built-in analytics! Extract trader data, track whale positions, and generate AI-ready signals with Winners vs Losers divergence analysis.

While other scrapers use deprecated APIs that return 404 errors, this Actor uses browser-based automation with the official Copy Trading interface that actually works!

✨ Why Choose This Scraper?

🎯 Three Operating Modes

Mode 1: Leaderboard Scraping

Scrape top traders from Binance Copy Trading leaderboard:

• ROI, PNL, Win Rate rankings
• Copier count and follower data
• Current open positions with leverage

Mode 2: Tracking Mode

Track specific traders by their Portfolio ID:

• Real-time position monitoring
• Performance snapshots
• Perfect for whale watching

⚠️ Important: Batch Size Limits for Tracking Mode

Each portfolio requires a full browser page load (~10-15 sec) + position history fetch. Apify runs have a 1-hour timeout limit. To avoid runs stopping midway:

Settings	Max portfolioIds per run
fetchHistory: false	up to 200
fetchHistory: true, maxHistoryPages: 5	up to 150
fetchHistory: true, maxHistoryPages: 10	up to 80
fetchHistory: true, maxHistoryPages: 20	up to 50

If you need to track more traders, split your portfolioIds into multiple runs of the sizes above and run them simultaneously.

Mode 3: Analytics Mode 🔥

The killer feature! Analyze Winners vs Losers divergence:

• Scrape top winners AND bottom losers separately
• Calculate Direction Bias per symbol
• Generate Battle Scores
• Output Copy Trading Coefficients
• AI-ready trading signals

📊 Understanding the Analytics

Direction Bias

Measures market sentiment based on winner/loser positioning:

• BULLISH: Winners are predominantly LONG (>60%)
• BEARISH: Winners are predominantly SHORT (<40%)
• NEUTRAL: Balanced positions

Battle Score

Per-symbol divergence analysis (-100 to +100):

• +50 to +100: STRONG_LONG signal
• +25 to +50: LONG signal
• -25 to +25: NEUTRAL
• -50 to -25: SHORT signal
• -100 to -50: STRONG_SHORT signal

Copy Trading Coefficients

Position sizing recommendations based on winner/loser divergence:

{
"longCoefficient":1.0,
"shortCoefficient":0.1,
"recommendation":"FAVOR_LONGS"
}

💰 Pricing

This Actor uses Pay per Event pricing:

Example costs:

• 100 traders without positions: ~$2.60
• 100 traders + 200 positions: ~$7.60
• Analytics mode (100 traders + 200 positions + report): ~$12.60

🔧 Input Parameters

📤 Output Format

Each run produces multiple dataset items for flexible data processing:

Trader Item

{
"type":"trader",
"scrapedAt":"2025-01-05T18:30:00.000Z",
"portfolioId":"3958362104",
"nickname":"TraderPro",
"pnl":452200.50,
"roi":156.78,
"mdd":12.5,
"sharpe":2.45,
"winRate":0.72,
"copierCount":1250,
"group":"winners",
"positionsCount":5,
"positions":[
{
"symbol":"BTCUSDT",
"positionAmount":0.5,
"entryPrice":94150.00,
"markPrice":95200.00,
"unrealizedProfit":525.00,
"leverage":10
}
]
}

Analytics Item

{
"type":"analytics",
"scrapedAt":"2025-01-05T18:30:00.000Z",
"mode":"analytics",
"directionBias":{
"marketSentiment":"BULLISH",
"winnersLongPercent":87.5,
"losersLongPercent":35.2,
"directionDivergence":"SIGNIFICANT"
},
"coefficients":{
"longCoefficient":1.0,
"shortCoefficient":0.1,
"recommendation":"FAVOR_LONGS"
},
"divergenceData":[
{
"symbol":"BTC",
"battleScore":65.3,
"signal":"STRONG_LONG",
"winnersCount":38,
"losersCount":12
}
]
}

🚀 Quick Start Examples

Example 1: Full Analytics (Recommended) 🔥

{
"mode":"analytics",
"winnersCount":50,
"losersCount":50,
"trueLosersMode":true,
"withPositions":true
}

Example 2: Scrape Top 100 Traders by PNL

{
"mode":"leaderboard",
"maxTraders":100,
"period":"MONTHLY",
"sortBy":"PNL",
"withPositions":true
}

Example 3: Track Specific Whales

{
"mode":"tracking",
"portfolioIds":["3958362104","4012876543"],
"withPositions":true
}

Example 4: Export to Excel

{
"mode":"analytics",
"winnersCount":50,
"losersCount":50,
"outputFormat":"xlsx"
}

⚡ API Integration

Use the Apify API to integrate this scraper into your trading bot:

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run_input ={
"mode":"analytics",
"winnersCount":50,
"losersCount":50,
"trueLosersMode":True,
"withPositions":True
}
run = client.actor("hlwhales/binance-copy-trading-scraper").call(run_input=run_input)
# Get all traders
traders =[]
analytics =None
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
if item["type"]=="trader":
 traders.append(item)
elif item["type"]=="analytics":
 analytics = item
print(f"Fetched {len(traders)} traders")
print(f"Market Sentiment: {analytics['directionBias']['marketSentiment']}")
print(f"Recommendation: {analytics['coefficients']['recommendation']}")

❓ FAQ

Q: Why do other Binance scrapers return 404 errors? A: They use the deprecated Futures Leaderboard API endpoints. This Actor uses browser automation with the current Copy Trading interface.

Q: What is TRUE LOSERS mode? A: It fetches traders from the BOTTOM of the leaderboard (actual negative PNL) instead of just the lowest-ranked winners. This creates real divergence signals.

Q: How often should I run analytics? A: For day trading: every 1-4 hours. For swing trading: once daily. For position trading: every few days.

Q: Can I export to CSV/Excel? A: Yes! Set outputFormat to csv or xlsx. CSV creates two files (traders.csv, analytics.csv), XLSX creates one file with multiple sheets.

Q: Why are positions required for analytics? A: Direction Bias and Battle Scores are calculated from actual position data. Without positions, analytics will show NEUTRAL values.

📊 Use Cases

• Algorithmic Trading: Feed signals directly into your trading bot
• Market Research: Understand what top traders are doing vs losing traders
• Risk Management: Adjust position sizes based on Copy Trading Coefficients
• Sentiment Analysis: Track market sentiment shifts over time
• Whale Watching: Monitor specific successful traders

📞 Support

Having issues or need custom features? Open an issue on the Actor page or contact through Apify.

🐋 About the Developer

This Actor is developed and maintained by WhaleHunt.io — a professional crypto market data intelligence platform. We specialize in building advanced analytics tools for traders, quant researchers, and algorithmic trading systems.

Our expertise includes:

• Crypto exchange data extraction and analytics
• Whale wallet tracking and on-chain analysis
• Trading signal generation and market sentiment tools
• Custom data solutions for hedge funds and trading desks

Visit whalehunt.io for more crypto analytics tools and professional data intelligence solutions.