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, Blast, 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, Blast, 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.)
• 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, blast, tron)
   • timeRange: Statistical time period (1m, 5m, 1h, 6h, 24h)
   • dataType: Data type (new_pools, burnts, dexscreener_spents)
   • limit: Result limit
   • filters: Token filters (optional)
   • platforms: Platforms (only for sol network, optional)
   • proxyConfiguration: Proxy configuration

Example Input

1{
2  "chain": "sol",
3  "timeRange": "1h",
4  "dataType": "new_pools",
5  "limit": 50,
6  "platforms": [
7    "pump",
8    "pumpamm",
9    "moonshot",
10    "raydium",
11    "meteora",
12    "fluxbeam",
13    "orca"
14  ],
15  "filters": [],
16  "proxyConfiguration": {
17    "useApifyProxy": true,
18    "apifyProxyGroups": []
19  }
20}

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

1{
2  "id": 9148285,
3  "address": "6sFeRJ1QQqLaB2D9cLic3uUinL8zcfshGzj3HyM77aey",
4  "base_address": "FbN5jSbcY2WoXaiaSE14BbyP5czacr7Q5VnQunEMpump",
5  "quote_address": "So11111111111111111111111111111111111111112",
6  "quote_reserve": "1.001232",
7  "initial_liquidity": "3.5839",
8  "initial_quote_reserve": "0.01512",
9  "pool_type_str": "pump",
10  "pool_type": 1,
11  "quote_symbol": "SOL",
12  "base_token_info": {
13    "symbol": "MM",
14    "name": "Market Manipulation",
15    "logo": "https://pump.mypinata.cloud/ipfs/Qmb7onxPwRaEm9VTzKPHLjMPCqQ7F2QEhVW4cnqiGwEuEv",
16    "total_supply": 1000000000,
17    "price": "0.000003565",
18    "holder_count": 2,
19    "launchpad_status": 0,
20    "price_change_percent1m": "4.09281",
21    "price_change_percent5m": "4.09281",
22    "price_change_percent1h": "4.09281",
23    "burn_ratio": "1.0000",
24    "burn_status": "burn",
25    "is_show_alert": true,
26    "hot_level": 0,
27    "liquidity": "237.4922",
28    "top_10_holder_rate": 0.0402762,
29    "renounced_mint": 1,
30    "renounced_freeze_account": 1,
31    "social_links": {
32      "twitter_username": "DeItaone/status/1909253537944461750",
33      "website": "",
34      "telegram": ""
35    },
36    "rug_ratio": null,
37    "sniper_count": 2,
38    "smart_degen_count": 0,
39    "renowned_count": 0,
40    "market_cap": "3565.203",
41    "is_wash_trading": false,
42    "creator_balance_rate": "0.03461",
43    "creator_token_status": "creator_hold",
44    "rat_trader_amount_rate": 0,
45    "bluechip_owner_percentage": 0,
46    "volume": "158.8944",
47    "swaps": 3,
48    "buys": 2,
49    "sells": 1,
50    "buy_tax": null,
51    "sell_tax": null,
52    "is_honeypot": null,
53    "renounced": null,
54    "dev_token_burn_amount": null,
55    "dev_token_burn_ratio": null,
56    "dexscr_ad": 0,
57    "dexscr_update_link": 0,
58    "cto_flag": 0,
59    "twitter_change_flag": 0,
60    "address": "FbN5jSbcY2WoXaiaSE14BbyP5czacr7Q5VnQunEMpump"
61  },
62  "open_timestamp": 1744221264,
63  "launchpad": "Pump.fun",
64  "bot_degen_count": "0"
65}

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.