GMGN CopyTrade Wallet Scraper

GMGN CopyTrade Wallet Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts, analyzes, and allows you to monitor successful crypto wallets on the GMGN.ai platform. Working across different blockchain networks (Ethereum, BSC, Base, Solana, and Tron), it collects comprehensive information such as transaction counts, profitability, win rates, and performance indicators.

Why Should You Use GMGN CopyTrade Wallet Scraper?

GMGN CopyTrade Wallet Scraper saves you hours by automating manual data collection processes and provides access to the most up-to-date wallet statistics. This tool offers you the following advantages:

• Time Saving: Saves hours by automating manual data collection processes
• Comprehensive Data: Complete statistical data set including transaction counts, profitability ratios, and risk metrics
• Multi-Blockchain Support: Works on Ethereum, BSC, Base, Solana, and Tron networks
• Customizable Data Collection: Ability to collect successful wallet data with various filters

Features

• Extracts comprehensive statistical data from successful crypto traders' wallets on GMGN.ai
• Can extract wallet data with various filters (PnL, profitability, transaction count, etc.)
• Can retrieve wallet statistics according to different time periods (1 day, 7 days, 30 days)
• Stores collected data in Apify data repository and allows export in various formats (JSON, CSV, Excel)
• Offers faster and more reliable results with proxy support
• Ability to customize sorting criteria (PnL, profitability, transaction count, etc.)

Use Cases

• Successful Trader Tracking: Analyzing successful traders in the crypto market
• Wallet Strategy Analysis: Examining trading strategies of profitable wallets
• Risk Assessment: Risk assessment of wallet profiles and investment strategies
• Market Research: Researching the performance of crypto assets across different blockchains
• Data Science Projects: Creating comprehensive statistical datasets for crypto markets

Usage

1. Run this actor in the Apify console.
2. Provide the necessary inputs:
   • chain: Blockchain network to scan (eth, bsc, base, sol, tron)
   • traderType: Trader category (all, pump_smart, smart_degen, etc.)
   • sortBy: Sorting criterion (profit_1day, profit_7days, profit_30days, etc.)
   • sortDirection: Sorting direction (desc, asc)
   • Various filtering options: Min and max values for PnL, profitability, transaction count
   • proxyConfiguration: Proxy configuration

Example Input

1{
2  "chain": "sol",
3  "traderType": "smart_degen",
4  "sortBy": "profit_7days",
5  "sortDirection": "desc",
6  "min_pnl_7d": 50,
7  "min_profit_7d": 5000,
8  "min_txs": 10,
9  "proxyConfiguration": {
10    "useApifyProxy": true,
11    "apifyProxyGroups": []
12  }
13}

Output

The collected data is saved to the Apify dataset. The output data includes the following fields:

• wallet_address: Wallet address
• address: Address (sometimes duplicate of wallet_address)
• realized_profit: Total realized profit across all periods
• buy: Number of buy transactions
• sell: Number of sell transactions
• last_active: Timestamp of last activity
• realized_profit_1d: 1-day realized profit
• realized_profit_7d: 7-day realized profit
• realized_profit_30d: 30-day realized profit
• pnl_30d: 30-day profit/loss ratio (percentage)
• pnl_7d: 7-day profit/loss ratio (percentage)
• pnl_1d: 1-day profit/loss ratio (percentage)
• txs_30d: Number of transactions in last 30 days
• buy_30d: Number of buy transactions in last 30 days
• sell_30d: Number of sell transactions in last 30 days
• balance: Current wallet balance
• eth_balance: ETH balance in the wallet
• sol_balance: SOL balance in the wallet
• trx_balance: TRX balance in the wallet
• twitter_username: Twitter username if linked
• avatar: Avatar URL if available
• ens: Ethereum Name Service if available
• tag: Primary tag for wallet
• tag_rank: Ranking within the tag category
• nickname: Wallet nickname if available
• tags: Array of all tags assigned to the wallet
• twitter_name: Twitter display name
• followers_count: Twitter followers count
• is_blue_verified: Twitter verification status
• twitter_description: Twitter profile description
• name: Name associated with the wallet if available
• avg_hold_time: Average time of holding tokens
• recent_buy_tokens: Array of recently purchased tokens
• winrate_7d: Win rate percentage over 7 days
• avg_cost_7d: Average transaction cost over 7 days
• pnl_lt_minus_dot5_num_7d: Number of transactions with PnL < -50% in 7 days
• pnl_minus_dot5_0x_num_7d: Number of transactions with PnL between -50% and 0% in 7 days
• pnl_lt_2x_num_7d: Number of transactions with PnL < 2x in 7 days
• pnl_2x_5x_num_7d: Number of transactions with PnL between 2x and 5x in 7 days
• pnl_gt_5x_num_7d: Number of transactions with PnL > 5x in 7 days
• pnl_lt_minus_dot5_num_7d_ratio: Ratio of transactions with PnL < -50% in 7 days
• pnl_minus_dot5_0x_num_7d_ratio: Ratio of transactions with PnL between -50% and 0% in 7 days
• pnl_lt_2x_num_7d_ratio: Ratio of transactions with PnL < 2x in 7 days
• pnl_2x_5x_num_7d_ratio: Ratio of transactions with PnL between 2x and 5x in 7 days
• pnl_gt_5x_num_7d_ratio: Ratio of transactions with PnL > 5x in 7 days
• daily_profit_7d: Array of daily profits over the last 7 days
• risk: Object containing risk metrics:
  • token_active: Number of active tokens
  • token_honeypot: Number of honeypot tokens
  • token_honeypot_ratio: Ratio of honeypot tokens
  • no_buy_hold: Number of buy transactions not being held
  • no_buy_hold_ratio: Ratio of buy transactions not being held
  • sell_pass_buy: Number of sell transactions passing buys
  • sell_pass_buy_ratio: Ratio of sell transactions passing buys
  • fast_tx: Number of fast transactions
  • fast_tx_ratio: Ratio of fast transactions
• txs: Total number of transactions
• token_num_7d: Number of different tokens traded in 7 days
• avg_holding_period_7d: Average holding period in seconds over 7 days

Example Output

1{
2  "wallet_address": "7Kj6ZC8SnyH5uoWPC3b63rctjUgedZZLPtugSDg8RSEL",
3  "address": "7Kj6ZC8SnyH5uoWPC3b63rctjUgedZZLPtugSDg8RSEL",
4  "realized_profit": 14646.384140662196,
5  "buy": 2,
6  "sell": 17,
7  "last_active": 1745767080,
8  "realized_profit_1d": 0,
9  "realized_profit_7d": 14646.384140662196,
10  "realized_profit_30d": 14646.384140662196,
11  "pnl_30d": 274.9237362102558,
12  "pnl_7d": 274.9237362102558,
13  "pnl_1d": null,
14  "txs_30d": 19,
15  "buy_30d": 2,
16  "sell_30d": 17,
17  "balance": 0,
18  "eth_balance": 0,
19  "sol_balance": 0,
20  "trx_balance": 0,
21  "twitter_username": null,
22  "avatar": null,
23  "ens": null,
24  "tag": null,
25  "tag_rank": {
26    "fresh_wallet": 0
27  },
28  "nickname": null,
29  "tags": [
30    "fresh_wallet"
31  ],
32  "twitter_name": null,
33  "followers_count": 0,
34  "is_blue_verified": false,
35  "twitter_description": null,
36  "name": null,
37  "avg_hold_time": 0,
38  "recent_buy_tokens": [],
39  "winrate_7d": 1,
40  "avg_cost_7d": 196.73114803974,
41  "pnl_lt_minus_dot5_num_7d": 0,
42  "pnl_minus_dot5_0x_num_7d": 0,
43  "pnl_lt_2x_num_7d": 0,
44  "pnl_2x_5x_num_7d": 0,
45  "pnl_gt_5x_num_7d": 1,
46  "pnl_lt_minus_dot5_num_7d_ratio": 1,
47  "pnl_minus_dot5_0x_num_7d_ratio": 0,
48  "pnl_lt_2x_num_7d_ratio": 0,
49  "pnl_2x_5x_num_7d_ratio": 0,
50  "pnl_gt_5x_num_7d_ratio": 1,
51  "daily_profit_7d": [
52    {
53      "timestamp": 1745366400,
54      "profit": 0
55    },
56    {
57      "timestamp": 1745452800,
58      "profit": 0
59    },
60    {
61      "timestamp": 1745539200,
62      "profit": 0
63    },
64    {
65      "timestamp": 1745625600,
66      "profit": 0
67    },
68    {
69      "timestamp": 1745712000,
70      "profit": 11722.679266305737
71    },
72    {
73      "timestamp": 1745798400,
74      "profit": 0
75    },
76    {
77      "timestamp": 1745884800,
78      "profit": 0
79    }
80  ],
81  "risk": {
82    "token_active": "1",
83    "token_honeypot": "0",
84    "token_honeypot_ratio": 0,
85    "no_buy_hold": "1",
86    "no_buy_hold_ratio": 0.5,
87    "sell_pass_buy": "0",
88    "sell_pass_buy_ratio": 0,
89    "fast_tx": "0",
90    "fast_tx_ratio": 0
91  },
92  "txs": 19,
93  "token_num_7d": 1,
94  "avg_holding_period_7d": 256865
95}

This example output shows statistical data for a single wallet. The actual output will be a list of similar objects for all processed wallets.

Notes

• The collected data is stored in Apify's default data store.