GMGN Trending Scraper

GMGN Trending Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts, analyzes, and allows you to monitor trending crypto tokens on the GMGN.ai platform. Working across different blockchain networks (Ethereum, BSC, Base, Solana, and Tron), it collects comprehensive information such as transaction counts, liquidity, market value, and performance indicators.

Why Should You Use GMGN Trending Scraper?

GMGN Trending 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 data set including transaction counts, price changes, and risk metrics.
• Multi-Blockchain Support: Works on Ethereum, BSC, Base, Solana, and Tron networks.
• Advanced Filtering: Offers a wide range of dynamic filters, from liquidity and market cap ranges to chain-specific options like DEX platforms.
• Customizable Data Collection: Ability to collect trending token data across different time periods.

Features

• Extracts comprehensive statistical data from trending crypto tokens on GMGN.ai.
• Can extract token data with various dynamic filters (min/max liquidity, market cap, holder count, transaction count, token age, etc.).
• Provides chain-specific filters, including DEX platforms for Solana and BSC.
• 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 dataset and allows export in various formats (JSON, CSV, Excel).
• Offers faster and more reliable results with proxy support.
• Ability to customize sorting criteria (Time Period TXs, Volume, Market Cap, etc.).

Use Cases

• Market Trends Analysis: Analyzing trending tokens in the crypto market with granular filters.
• New Token Discovery: Early discovery of new and rapidly popularizing tokens on specific DEX platforms.
• Risk Assessment: Risk assessment of token profiles and investment strategies using filters like "Not Honeypot" or "Renounced".
• Market Research: Researching the performance of crypto assets across different blockchains and platforms.
• Data Science Projects: Creating comprehensive statistical datasets for crypto markets.

Usage

1. Run this actor in the Apify console.
2. Provide the necessary inputs. The tool offers a wide range of filters to narrow down your search.

Input Parameters

• chain: Blockchain network to scan (eth, bsc, base, sol, tron).
• timeRange: Statistical time period (1m, 5m, 1h, 6h, 24h).
• sortBy: Sorting criterion (Time Period TXs, Age, Liquidity, etc.).
• sortDirection: Sorting direction (desc, asc).
• Advanced Filters:
  • Token Age: min_created and max_created (in minutes).
  • Liquidity: min_liquidity and max_liquidity (in USD).
  • Market Cap: min_marketcap and max_marketcap (in USD).
  • Holder Count: min_holder_count and max_holder_count.
  • Swaps: min_swaps and max_swaps.
  • Volume: min_volume and max_volume (in USD).
  • Insider Rate: min_insider_rate and max_insider_rate (as a percentage, e.g., 5 for 5%).
• Chain-Specific Filters:
  • Common Filters: Renounced, With at least 1 social.
  • ETH, BSC, Base, Tron Filters: Not Honeypot, Verified, Locked.
  • Solana Only Filters: Blacklist, Burnt, Top 10, No Wash Trading.
  • DEX Platforms (Solana/BSC): Filter by specific DEXs like PancakeSwap for BSC or Raydium for Solana.
• developerFilters: Dev Still Holding, Dev Sell All, DEV Burnt.
• proxyConfiguration: Standard Apify proxy configuration.

Example Input

{
  "chain": "sol",
  "timeRange": "1h",
  "sortBy": "swaps",
  "sortDirection": "desc",
  "min_created": 5,
  "max_created": 60,
  "min_liquidity": 10000,
  "max_marketcap": 1000000,
  "min_holder_count": 100,
  "tokenFilters": [
    "renounced"
  ],
  "solanaTokenFilters": [
    "not_wash_trading"
  ],
  "platforms": [
    "raydium",
    "pump"
  ],
  "developerFilters": [
    "creator_hold"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}

Output

The collected data is saved to the Apify dataset. The output data includes the following fields:

• id: Token ID
• chain: Blockchain network
• address: Token address
• symbol: Token symbol
• logo: Logo URL
• price: Price
• price_change_percent: Price change percentage
• swaps: Number of transactions
• volume: Transaction volume
• liquidity: Liquidity
• market_cap: Market cap
• hot_level: Popularity level
• pool_creation_timestamp: Pool creation time
• holder_count: Number of holders
• twitter_username: Twitter username
• website: Website
• telegram: Telegram address
• total_supply: Total supply
• open_timestamp: Opening time
• price_change_percent1m: 1-minute price change
• price_change_percent5m: 5-minute price change
• price_change_percent1h: 1-hour price change
• buys: Number of buys
• sells: Number of sells
• initial_liquidity: Initial liquidity
• is_show_alert: Alert display status
• top_10_holder_rate: Ratio of top 10 holders
• renounced_mint: Renounced mint status
• renounced_freeze_account: Renounced freeze account status
• burn_ratio: Burn ratio
• burn_status: Burn status
• launchpad: Launch platform
• creator_token_status: Developer token status
• creator_close: Developer close status
• rat_trader_amount_rate: Novice trader amount ratio
• bluechip_owner_percentage: Bluechip ownership percentage
• smart_degen_count: Smart degen count
• renowned_count: Renowned person count
• is_wash_trading: Wash trading status

Example Output

{
  "id": 163168174,
  "chain": "sol",
  "address": "6nczo5ZMLQLyzjeVguKcNpUQCexBYwrp8vpv2Legpump",
  "symbol": "FOOLSDAY",
  "logo": "https://dd.dexscreener.com/ds-data/tokens/solana/6nczo5ZMLQLyzjeVguKcNpUQCexBYwrp8vpv2Legpump.png?size=lg&key=a85e7e",
  "price": 0.000120781,
  "price_change_percent": -25.7541,
  "swaps": 53369,
  "volume": 997156,
  "liquidity": 58755.8,
  "market_cap": 120781,
  "hot_level": 3,
  "pool_creation_timestamp": 1743504136,
  "holder_count": 5043,
  "twitter_username": null,
  "website": "https://en.wikipedia.org/wiki/April_Fools%27_Day",
  "telegram": null,
  "total_supply": 999999354,
  "open_timestamp": 1743504136,
  "price_change_percent1m": -12.783,
  "price_change_percent5m": -18.7521,
  "price_change_percent1h": -25.7541,
  "buys": 37047,
  "sells": 16322,
  "initial_liquidity": 21791.5283452804,
  "is_show_alert": false,
  "top_10_holder_rate": 0.162966,
  "renounced_mint": 1,
  "renounced_freeze_account": 1,
  "burn_ratio": "",
  "burn_status": "unknown",
  "launchpad": "Pump.fun",
  "dev_token_burn_amount": null,
  "dev_token_burn_ratio": null,
  "dexscr_ad": 1,
  "dexscr_update_link": 1,
  "cto_flag": 0,
  "twitter_change_flag": 0,
  "creator_token_status": "creator_sell",
  "creator_close": false,
  "launchpad_status": 1,
  "rat_trader_amount_rate": 0.0973597,
  "bluechip_owner_percentage": 0.00892325996430696,
  "smart_degen_count": 0,
  "renowned_count": 0,
  "rug_ratio": null,
  "is_wash_trading": true
}

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.