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GMGN CopyTrade Wallet Scraper

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Developed by

Muhammet Akkurt

GMGN CopyTrade Wallet Scraper extracts profitable crypto wallet data from GMGN.ai across Ethereum, BSC, Base, Solana, and Tron. Track successful traders, analyze winning crypto strategies, and access key metrics like transactions, profits, and risk to boost your crypto investments.

5.0 (2)

Pricing

Pay per event

Last modified

15 days ago

Developer tools

Automation

Other

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GMGN Wallet Holdings Scraper

muhammetakkurtt/gmgn-wallet-holdings-scraper

GMGN.ai Wallet Holdings Scraper: Track crypto portfolios across Ethereum, BSC, Base, Solana, 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

Muhammet Akkurt

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GMGN Wallet Stat Scraper

muhammetakkurtt/gmgn-wallet-stat-scraper

GMGN Wallet Stat Scraper is an Apify actor that automatically extracts statistical data from crypto wallets on the GMGN.ai platform. Working across Ethereum, BSC, Base, Solana and Tron networks, it collects and analyzes trading statistics, profit/loss ratios and performance data from wallets.

Muhammet Akkurt

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5.0

GMGN Trending Scraper

muhammetakkurtt/gmgn-trending-scraper

GMGN Trending Tokens Scraper extracts real-time data from GMGN.ai trending crypto tokens across Ethereum, BSC, Base, Solana and Tron networks. Track transactions, liquidity, price changes and risk metrics with customizable filters for effective market analysis and investment research.

Muhammet Akkurt

109

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GMGN New Pair Scraper

muhammetakkurtt/gmgn-new-pair-scraper

Track new crypto tokens across multiple blockchains with GMGN New Pair Scraper. This Apify tool extracts real-time data from GMGN.ai, providing key metrics on liquidity, market value, and risk factors for Ethereum, BSC, Solana, Base and Tron networks. Ideal for early opportunity detection.

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Crypto Wallet Performance Tracker

crypto-scraper/crypto-wallet-performance-tracker

Track and analyze crypto wallet performance across multiple blockchains by scraping gmgn.ai. Monitor insider and whale wallets with PnL, win rate, and balance tracking. Supports Solana, Ethereum, Base, Tron, and Blast.

Crypto Scraper

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Crypto Best Wallets Scraper

piotrv1001/crypto-best-wallets-scraper

Analyze and keep tabs on crypto wallet activity across various chains using data from gmgn.ai. Gain insights into insider and whale addresses by tracking PnL, win rate, and account balances. Compatible with Solana, Ethereum, Base and Tron.

Piotr Vassev

GMGN Smart Degen Monitor Scraper

muhammetakkurtt/gmgn-smart-degen-monitor-scraper

GMGN Smart Degen Monitor tracks crypto "smart money" across BSC, Solana, and Base networks. Extract real-time data on tokens and trades from influential investors to identify market trends. Get key metrics including price changes, transaction data, and wallet tracking with customizable timeframes.

Muhammet Akkurt

5.0

GMGN Sniper New Tokens Scraper

muhammetakkurtt/gmgn-sniper-new-scraper

GMGN Sniper New Token Scraper: Powerful Apify actor that automatically identifies new and trending crypto tokens from GMGN.ai. Operates across ETH, BSC, Base, SOL and Tron networks. Captures transaction data, risk metrics and market performance to spot early investment opportunities.

Muhammet Akkurt

5.0

GMGN Key Opinion Leaders Monitor Scraper

muhammetakkurtt/gmgn-kol-monitor-scraper

GMGN KOL Monitor: Track top crypto influencers on BSC, Solana & Base networks. Get real-time token data, trades & wallet movements from key opinion leaders. Analyze price trends, liquidity metrics & investor activity with customizable timeframes for smarter crypto investments.

Muhammet Akkurt

5.0

GMGN Token Holders Scraper

muhammetakkurtt/gmgn-token-holders-scraper

Scrape the top 100 token holders for any token address on Ethereum, Solana, BSC, Base, and Tron with this GMGN.ai scraper. Analyze whale wallets, track P&L, and monitor ownership changes in real-time. A must-have crypto analytics tool for investors seeking a competitive edge through deep data.

Muhammet Akkurt

5.0