🚀 Dexscreener Top Traders Scraper

Uncover insider trading behavior and identify top-performing wallets with our Dexscreener Top Traders Scraper. This tool gives you a direct view into the strategies of the most successful traders on any given token, allowing you to make smarter, data-driven decisions.

Why Choose Dexscreener Top Traders Scraper?

For traders who want to move beyond the charts, this scraper provides crucial intelligence on market movers. By analyzing the trading patterns of top wallets, you can gain insights into token accumulation, profit-taking, and overall sentiment from those in the know.

💎 Key Benefits

• Track "Smart Money": See who is buying and selling and at what volumes.
• Identify Top Wallets: Find and monitor the most profitable traders for a specific token.
• Gain a Competitive Edge: Use insider knowledge to inform your own trading strategy.
• Simple & Fast: Get a clean, structured list of top traders with a simple input.

⚙️ Input Parameters

The actor expects a list of tokens to scrape. Each token should have the following fields:

Parameter	Type	Required	Description
chain	string	Yes	The name of the blockchain (e.g., solana)
address	string	Yes	The address of the token to scrape.
timeframe	string	Yes	Timeframe: 30d, 7d, 3d, 1d.

Example Input

{
    "tokens": [
        {
            "chain": "solana",
            "address": "4gmic8GGP6q4R3W2yAjASg2et2Ty8swrA2vLe1f421aY",
            "timeframe": "7d"
        },
        {
            "chain": "ethereum",
            "address": "0x1234567890abcdef1234567890abcdef12345678",
            "timeframe": "30d"
        }
    ]
}

📊 Comprehensive Data Fields

The actor will output a list of top traders with the following information:

• token: The token address that was scraped.
• sol_scan_url: The URL to the trader's wallet on a block explorer (e.g., Solscan).
• wallet: The trader's wallet address.
• buy_usd_amount: The total USD amount of tokens bought.
• sell_usd_amount: The total USD amount of tokens sold.
• pnl: The profit and loss in USD.
• buy_token_amount: The amount of tokens bought.
• buy_txns: The number of buy transactions.
• sell_token_amount: The amount of tokens sold.
• sell_txns: The number of sell transactions.

📈 Example Output Structure

{
  "token": "4gmic8GGP6q4R3W2yAjASg2et2Ty8swrA2vLe1f421aY",
  "sol_scan_url": "https://solscan.io/account/ADj7cSMTyoB4cyx2puLN5uTyzZDJdtwQ1KxST5GRtkTL",
  "wallet": "ADj7cSMTyoB4cyx2puLN5uTyzZDJdtwQ1KxST5GRtkTL",
  "buy_usd_amount": 15400.0,
  "sell_usd_amount": 97800.0,
  "pnl": 82300.0,
  "buy_token_amount": 36000000.0,
  "buy_txns": 10.0,
  "sell_token_amount": 36000000.0,
  "sell_txns": 4.0
}

🔍 TypeScript Type

interface TopTrader {
  token: string;
  sol_scan_url: string;
  wallet: string;
  buy_usd_amount: number;
  sell_usd_amount: number;
  pnl: number;
  buy_token_amount: number;
  buy_txns: number;
  sell_token_amount: number;
  sell_txns: number;
}

🐍 Pydantic Model

from pydantic import BaseModel

class TopTrader(BaseModel):
    token: str
    sol_scan_url: str
    wallet: str
    buy_usd_amount: float
    sell_usd_amount: float
    pnl: float
    buy_token_amount: float
    buy_txns: float
    sell_token_amount: float
    sell_txns: float