GMGN New Pair Scraper

GMGN New Pair Scraper

by muhammetakkurtt

Track new crypto tokens across multiple blockchains with GMGN New Pair Scraper. This Apify tool extracts real-time data from GMGN.ai, providing key me...

5,294 runs
164 users
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Opens on Apify.com

About 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.

What does this actor do?

GMGN New Pair 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 New Pair Scraper # GMGN New Pair Scraper GMGN New Pair Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts, analyzes, and allows you to monitor newly created token pairs on the GMGN.ai platform. Operating across different blockchain networks (Ethereum, BSC, Base, Solana, and Tron), it collects comprehensive information about new tokens, including transaction counts, liquidity, market value, and performance indicators. ## Why Use GMGN New Pair Scraper? GMGN New Pair Scraper saves you hours by automating manual data collection processes and provides access to the most up-to-date new token pairs. This tool offers you the following advantages: - Time Saving: Saves hours by automating manual data collection processes - Comprehensive Data: Complete dataset including transaction counts, liquidity information, and risk metrics - Multi-Blockchain Support: Works on Ethereum, BSC, Base, Solana, and Tron networks - Customizable Data Collection: Ability to collect new token data at different time periods ## Features - Comprehensively extracts new token pairs from GMGN.ai - Can extract token data with various filters (liquidity, market value, holder count, transaction count, etc.) - Platform Filtering: Filter by specific DEX platforms on Solana and BSC networks. - Can retrieve token statistics according to different time periods (1 minute, 5 minutes, 1 hour, 6 hours, 24 hours) - Stores collected data in the Apify data repository and provides the ability to export in various formats (JSON, CSV, Excel) - Offers faster and more reliable results with proxy support - Ability to select data types ("New Pool", "Burnt", "DEXScreener Spent") ## Use Cases - New Token Tracking: Monitor newly launched tokens in the crypto market - Early Discovery: Early detection of rapidly popularizing new tokens - Risk Assessment: Risk assessment of token profiles and creating 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) - timeRange: Statistical time period (1m, 5m, 1h, 6h, 24h) - dataType: Data type (new_pools, burnts, dexscreener_spents) - limit: Result limit - filters: Token filters (has_social, not_honeypot, verified, renounced, locked, creator_hold, creator_close, token_burnt) - solanaPlatforms: DEX platforms for Solana network (optional) - bscPlatforms: DEX platforms for BSC network (optional) - proxyConfiguration: Proxy configuration ### Example Input json { "chain": "sol", "timeRange": "1h", "dataType": "new_pools", "limit": 50, "solanaPlatforms": [ "pump", "pumpamm", "moonshot", "raydium", "meteora", "fluxbeam", "orca", "ray_launchpad", "boop", "letsbonk" ], "filters": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ## Output The collected data is saved to the Apify dataset. The output data includes the following fields: - id: Token ID - Unique identifier for the token pair - address: Pool address - Contract address of the liquidity pool - base_address: Base token address - Contract address of the token - quote_address: Quote token address - Contract address of the paired token (often SOL, ETH, etc.) - creation_timestamp: Creation timestamp - Unix timestamp when the pool was created - pool_type: Pool type - Numeric identifier for the pool type - pool_type_str: Pool type string - Text representation of the pool type (pump, raydium, etc.) - quote_symbol: Quote symbol - Symbol of the paired token (SOL, ETH, etc.) - burn_ratio: Burn ratio - Percentage of tokens burned - burn_status: Burn status - Status of token burning (unknown, burn, etc.) - open_timestamp: Opening time - Unix timestamp when trading opened - launchpad: Launchpad - Platform where the token was launched - liquidity: Liquidity - Total liquidity value in USD - quote_reserve: Quote reserve - Amount of quote tokens in the pool - initial_liquidity: Initial liquidity - Initial liquidity amount when pool was created - initial_quote_reserve: Initial quote reserve - Initial amount of quote tokens when pool was created - quote_reserve_usd: Quote reserve USD - USD value of quote tokens in the pool - bot_degen_count: Bot degen count - Number of bot transactions detected - base_token_info: Token information object that includes: - name: Token name - address: Token contract address - symbol: Token symbol - logo: URL to the token logo - total_supply: Total supply of the token - price: Current price in USD - holder_count: Number of token holders - launchpad_status: Status on the launchpad - price_change_percent1m: 1-minute price change percentage - price_change_percent5m: 5-minute price change percentage - price_change_percent1h: 1-hour price change percentage - burn_ratio: Token burn ratio - burn_status: Status of token burning - is_show_alert: Whether there's an alert for this token - hot_level: Popularity level (0-3) - liquidity: Token liquidity in USD - top_10_holder_rate: Percentage owned by top 10 holders - renounced_mint: Minting capability renounced status - renounced_freeze_account: Freeze account capability renounced status - creator_token_status: Developer token status - creator_close: Developer close status - creator_balance_rate: Percentage of tokens held by creator - rug_ratio: Rug pull risk ratio - market_cap: Market capitalization in USD - is_wash_trading: Whether wash trading is detected - volume: Trading volume in USD - swaps: Number of swap transactions - buys: Number of buy transactions - sells: Number of sell transactions - buy_tax: Buy tax percentage (if any) - sell_tax: Sell tax percentage (if any) - is_honeypot: Whether token is identified as a honeypot - rat_trader_amount_rate: Novice trader amount ratio - bluechip_owner_percentage: Percentage owned by blue chip wallets - smart_degen_count: Number of smart degens - renowned_count: Number of renowned individuals - base_token_info.social_links: Social media links including: - twitter_username: Twitter username - website: Website URL - telegram: Telegram group link ## Example Output json { "id": 9148285, "address": "6sFeRJ1QQqLaB2D9cLic3uUinL8zcfshGzj3HyM77aey", "base_address": "FbN5jSbcY2WoXaiaSE14BbyP5czacr7Q5VnQunEMpump", "quote_address": "So11111111111111111111111111111111111111112", "quote_reserve": "1.001232", "initial_liquidity": "3.5839", "initial_quote_reserve": "0.01512", "pool_type_str": "pump", "pool_type": 1, "quote_symbol": "SOL", "base_token_info": { "symbol": "MM", "name": "Market Manipulation", "logo": "https://pump.mypinata.cloud/ipfs/Qmb7onxPwRaEm9VTzKPHLjMPCqQ7F2QEhVW4cnqiGwEuEv", "total_supply": 1000000000, "price": "0.000003565", "holder_count": 2, "launchpad_status": 0, "price_change_percent1m": "4.09281", "price_change_percent5m": "4.09281", "price_change_percent1h": "4.09281", "burn_ratio": "1.0000", "burn_status": "burn", "is_show_alert": true, "hot_level": 0, "liquidity": "237.4922", "top_10_holder_rate": 0.0402762, "renounced_mint": 1, "renounced_freeze_account": 1, "social_links": { "twitter_username": "DeItaone/status/1909253537944461750", "website": "", "telegram": "" }, "rug_ratio": null, "sniper_count": 2, "smart_degen_count": 0, "renowned_count": 0, "market_cap": "3565.203", "is_wash_trading": false, "creator_balance_rate": "0.03461", "creator_token_status": "creator_hold", "rat_trader_amount_rate": 0, "bluechip_owner_percentage": 0, "volume": "158.8944", "swaps": 3, "buys": 2, "sells": 1, "buy_tax": null, "sell_tax": null, "is_honeypot": null, "renounced": null, "dev_token_burn_amount": null, "dev_token_burn_ratio": null, "dexscr_ad": 0, "dexscr_update_link": 0, "cto_flag": 0, "twitter_change_flag": 0, "address": "FbN5jSbcY2WoXaiaSE14BbyP5czacr7Q5VnQunEMpump" }, "open_timestamp": 1744221264, "launchpad": "Pump.fun", "bot_degen_count": "0" } This example output shows statistical data for a single token pair. 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
5,294
Active Users
164
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