GMGN Sniper New Tokens Scraper

GMGN Sniper New Tokens Scraper

by muhammetakkurtt

GMGN Sniper New Token Scraper: Powerful Apify actor that automatically identifies new and trending crypto tokens from GMGN.ai. Operates across ETH, BS...

2,231 runs
86 users
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Opens on Apify.com

About GMGN Sniper New Tokens 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 and SOL networks. Captures transaction data, risk metrics and market performance to spot early investment opportunities.

What does this actor do?

GMGN Sniper New Tokens Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

GMGN Sniper New Token Scraper # GMGN Sniper New Token Scraper GMGN Sniper New Token Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts, analyzes, and allows you to track newly released crypto tokens on the GMGN.ai platform. Working across different blockchain networks (Ethereum, BSC, Base, and Solana), it collects comprehensive information such as transaction counts, liquidity, market value, and performance indicators of newly released tokens. ## Why Should You Use GMGN Trending Scraper? GMGN Sniper New Token Scraper saves you hours by automating manual data collection processes and provides access to the most up-to-date token statistics. This tool offers you the following advantages: - Time Saving: Saves hours by automating manual data collection processes - Comprehensive Data: Complete statistical dataset including transaction counts, price changes, and risk metrics - Multi-Blockchain Support: Works on Ethereum, BSC, Base, and Solana networks - Customizable Data Collection: Ability to collect data according to your needs with risk filtering and featured token options ## Features - Extracts comprehensive statistical data from newly released (snipe new) crypto tokens on GMGN.ai - Offers various risk filtering options - Provides the ability to specifically display featured tokens - Stores collected data in Apify data repository and allows exporting in various formats (JSON, CSV, Excel) - Offers faster and more reliable results with proxy support - Flexibility to work on different blockchain networks - Identifies and alerts users about new tokens trending within 1-minute timeframes, enabling quick response to market movements ## Use Cases - Market Trend Analysis: Analyzing newly released tokens in the crypto market - New Token Discovery: Early discovery of new and rapidly popularizing tokens - Risk Assessment: Risk assessment and investment strategies for token profiles - Market Research: Researching the performance of crypto assets on 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 be scanned (eth, bsc, base, sol) - filterRisks: Risk filtering (optional, default true) - showFeatured: Show featured tokens (optional, default false) - proxyConfiguration: Proxy configuration ### Example Input json { "chain": "sol", "filterRisks": true, "showFeatured": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ## Output The collected data is saved to the Apify dataset. The output data includes the following fields: - id: Token ID - message_id: Message ID - message_type: Message type - chain: Blockchain network - token_address: Token address - token_price: Token price - price_change_percent: Price change percentage - timestamp: Timestamp - is_show_alert: Alert display status - featured: Featured token status - signal_data.open_timestamp: Opening time - signal_data.market_cap: Market value - signal_data.swaps_1m: Number of swaps in 1 minute - signal_data.volume_1m: Transaction volume in 1 minute - token_data.token_symbol: Token symbol - token_data.token_logo: Token logo URL - token_data.price: Price - token_data.buy_tax: Buy tax - token_data.sell_tax: Sell tax - token_data.hot_level: Popularity level - token_data.renounced_mint: Renounced mint status - token_data.renounced_freeze_account: Renounced account freezing status - token_data.top_10_holder_rate: Top 10 holder rate - token_data.burn_status: Burn status - token_data.burn_ratio: Burn ratio - token_data.is_open_source: Open source status - token_data.renounced: Renounced status - token_data.lock_info: Lock information - launchpad: Launch platform ## Example Output json { "id": 796448, "message_id": 796448, "message_type": "snipe_new", "chain": "sol", "token_address": "9bppFxfbEg7fWRLfMKbQ1dZWN8NhZnpvrGRwFWQicACV", "token_price": 0.000018534301, "price_change_percent": 0.5403347424262723, "timestamp": 1743681733, "is_show_alert": false, "featured": false, "signal_data": { "open_timestamp": 1743681566, "market_cap": 21395.285, "swaps_1m": 209, "volume_1m": 4823.66093293 }, "token_data": { "token_symbol": "TTT", "token_logo": "https://gateway.irys.xyz/K47ePMi0OZBuT6I4GUGxq_XYtZ2kxb0ea09lEVNATY4", "price": 0.000021395285, "buy_tax": null, "sell_tax": null, "hot_level": 0, "renounced_mint": 1, "renounced_freeze_account": 1, "top_10_holder_rate": 0.54718, "burn_status": "unknown", "burn_ratio": "", "is_open_source": null, "renounced": null, "lock_info": null }, "launchpad": null } This example output shows statistical data for a single token. The actual output will be a list of similar objects for all processed tokens. ## Notes - The collected data is stored in Apify's default data store.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

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Actor Information

Developer
muhammetakkurtt
Pricing
Paid
Total Runs
2,231
Active Users
86
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