GMGN.ai Wallet Scraper: Track crypto portfolios across Ethereum, BSC, Base, Solana, Blast, Tron. Analyze token values, PnL metrics, and transaction history. Export filtered wallet data for trading strategies and investment insights. Multi-address scanning with real-time profit/loss analysis
GMGN Wallet Holdings Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts, analyzes, and allows you to monitor token holdings from crypto wallets on the GMGN.ai platform. Operating across different blockchain networks (Ethereum, BSC, Base, Solana, Blast, and Tron), this tool collects information about all crypto assets, their prices, values, and profit/loss information in a specific wallet.
GMGN Wallet Scraper saves you hours by automating manual data collection processes and provides you with access to the most up-to-date wallet data. This tool offers you the following advantages:
1{ 2 "walletAddresses": ["0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045"], 3 "chain": "eth", 4 "limit": 50, 5 "sortBy": "last_active_timestamp", 6 "sortDirection": "desc", 7 "includeSmallAmounts": true, 8 "includeSoldTokens": true, 9 "includeRecentTx": false, 10 "excludeAbnormalTokens": false 11}
The collected data is saved to the Apify dataset. The output data includes the following fields:
wallet_address
: Wallet addresschain
: Blockchain networktoken.address
: Token addresstoken.symbol
: Token symboltoken.name
: Token nametoken.decimals
: Token decimalstoken.logo
: Logo URLtoken.price_change_6h
: 6-hour price changetoken.is_show_alert
: Whether an alert is showntoken.is_honeypot
: Whether it's a honeypotbalance
: Token balanceusd_value
: USD valueprice
: Pricerealized_profit_30d
: 30-day realized profitrealized_profit
: Realized profitrealized_pnl
: Realized PnLrealized_pnl_30d
: 30-day realized PnLunrealized_profit
: Unrealized profitunrealized_pnl
: Unrealized PnLtotal_profit
: Total profittotal_profit_pnl
: Total profit PnLavg_cost
: Average costavg_sold
: Average soldbuy_30d
: 30-day purchasessell_30d
: 30-day salessells
: Salescost
: Costposition_percent
: Position percentagelast_active_timestamp
: Last active timehistory_sold_income
: Historical sales incomehistory_bought_cost
: Historical purchase coststart_holding_at
: Time started holdingend_holding_at
: Time stopped holdingliquidity
: Liquiditytotal_supply
: Total supplywallet_token_tags
: Wallet token tags1{ 2 "token": { 3 "address": "0x7e877b99897d514da01bd1d177e693ec639961af", 4 "token_address": "0x7e877b99897d514da01bd1d177e693ec639961af", 5 "symbol": "OGGY", 6 "name": "Oggy Inu", 7 "decimals": 9, 8 "logo": "https://www.dextools.io/resources/tokens/logos/ether/0x7e877b99897d514da01bd1d177e693ec639961af.png", 9 "price_change_6h": "253927182291795.3311568439751095", 10 "is_show_alert": false, 11 "is_honeypot": false 12 }, 13 "balance": "8000000", 14 "usd_value": "19086103437198.844", 15 "realized_profit_30d": "0", 16 "realized_profit": "0", 17 "realized_pnl": "0", 18 "realized_pnl_30d": "0", 19 "unrealized_profit": "0", 20 "unrealized_pnl": "0", 21 "total_profit": "0", 22 "total_profit_pnl": "0", 23 "avg_cost": "0", 24 "avg_sold": "0", 25 "buy_30d": 0, 26 "sell_30d": 0, 27 "sells": 0, 28 "price": "2385762.9296498555", 29 "cost": "0", 30 "position_percent": "1", 31 "last_active_timestamp": 0, 32 "history_sold_income": "0", 33 "history_bought_cost": "0", 34 "start_holding_at": null, 35 "end_holding_at": null, 36 "liquidity": "6129.82303856382", 37 "total_supply": "420000000000", 38 "wallet_token_tags": null, 39 "wallet_address": "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045", 40 "chain": "eth" 41}
This example output shows the structured data of a single cryptocurrency. The actual output will be a list of similar objects for all processed cryptocurrencies.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!