GMGN Dexscreener Paid Signals Scraper

GMGN Dexscreener Paid Signals Scraper is a powerful web scraping tool developed for the Apify platform. This tool automatically extracts and tracks paid advertising signals from Dexscreener on the GMGN.ai platform for Solana network tokens. It collects comprehensive information about tokens with paid promotions including Unpaid, Dex AD Paid, Update Social, Dex Bar Paid, and Dex Boost Paid signals from various launchpad platforms.

Why Should You Use GMGN Dexscreener Signals Scraper?

GMGN Dexscreener Paid Signals Scraper saves you hours by automating manual data collection processes and provides access to the most up-to-date paid promotion data. This tool offers you the following advantages:

• Time Saving: Saves hours by automating manual data collection processes
• Comprehensive Signal Data: Complete dataset including various paid signal types and launchpad platforms
• Solana Network Focus: Specialized for Solana network tokens with paid promotion activities
• Customizable Signal Collection: Ability to select specific signal types and launchpad platforms according to your needs

Features

• Extracts comprehensive paid signals data from GMGN.ai's Dexscreener integration
• Support for multiple signal types: Unpaid, Dex AD Paid, Update Social, Dex Bar Paid, Dex Boost Paid
• Support for 16 different launchpad platforms including Pump.fun, Ray Launchpad, Moonshot, and more
• Focused on Solana network for optimal data collection
• Real-time tracking of paid promotion activities on Dexscreener
• Stores collected data in Apify data repository and allows exporting in various formats (JSON, CSV, Excel)

Use Cases

• Paid Promotion Analysis: Analyzing tokens with paid advertising on Dexscreener
• Marketing Intelligence: Tracking which tokens are investing in paid promotions
• Investment Opportunities: Identifying tokens with marketing budget and promotional activities
• Market Research: Researching promotional trends and marketing strategies in Solana ecosystem
• Data Science Projects: Creating comprehensive datasets for crypto marketing analysis
• Signal Type Analysis: Understanding different types of promotional signals and their effectiveness

Usage

1. Run this actor in the Apify console.
2. Provide the necessary inputs:
   • signalTypes: Array of signal types to collect (unpaid, dex_ad_paid, update_social, dex_bar_paid, dex_boost_paid)
   • launchpadPlatforms: Array of launchpad platforms to include (Pump.fun, letsbonk, moonshot_app, etc.)
   • proxyConfiguration: Proxy configuration (optional)

Example Input

{
  "signalTypes": ["dex_ad_paid", "dex_bar_paid", "dex_boost_paid"],
  "launchpadPlatforms": ["Pump.fun", "letsbonk", "moonshot_app", "bags", "believe", "jup_studio", "gofundmeme", "boop", "meteora_virtual_curve", "ray_launchpad", "Moonshot", "xstocks", "pool_pump_amm", "pool_ray", "pool_meteora", "pool_orca"],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}

Output

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

• signal_type: Type of signal (unpaid, dex_ad_paid, update_social, dex_bar_paid, dex_boost_paid)
• ath: All-time high price
• market_cap: Current market capitalization
• trigger_at: Timestamp when signal was triggered
• trigger_mc: Market cap at trigger time
• data.address: Token contract address
• data.pool_address: Liquidity pool address
• data.quote_address: Quote token address
• data.logo: Token logo URL
• data.symbol: Token symbol
• data.name: Token name
• data.launchpad: Launchpad used
• data.launchpad_platform: Launchpad platform
• data.exchange: Exchange platform
• data.total_supply: Total token supply
• data.usd_market_cap: USD market capitalization
• data.swaps_1h: Number of swaps in 1 hour
• data.volume_1h: Trading volume in 1 hour
• data.top_10_holder_rate: Percentage held by top 10 holders
• data.creator_balance_rate: Creator's balance percentage
• data.holder_count: Total number of holders
• data.liquidity: Available liquidity
• data.creator: Creator wallet address
• data.rug_ratio: Rug probability ratio
• data.buys_1h: Number of buy transactions in 1 hour
• data.sells_1h: Number of sell transactions in 1 hour
• data.created_timestamp: Token creation timestamp
• data.open_timestamp: Trading opening timestamp
• data.renounced_mint: Renounced mint status
• data.renounced_freeze_account: Renounced freeze account status
• data.burn_status: Token burn status
• data.dexscr_ad: Dexscreener ad status
• data.dexscr_update_link: Dexscreener update link status
• data.dexscr_trending_bar: Dexscreener trending bar status
• data.dexscr_boost_fee: Dexscreener boost fee amount
• data.twitter: Twitter link
• data.website: Website URL
• data.telegram: Telegram link

Example Output

{
  "signal_type": "dex_boost_paid",
  "ath": 98450.192,
  "market_cap": 4102.4394999999995,
  "trigger_at": 1754421192,
  "trigger_mc": 68949.503,
  "data": {
    "address": "5o4KwH4jZMjpefGuSiuCTymvk1Bv8ZibBSWvmiFMbonk",
    "pool_address": "AEysuKkE4nC2XrvkMN4SXmmk44L7jgD6yJFh8qnv5H1T",
    "quote_address": "So11111111111111111111111111111111111111112",
    "logo": "https://gmgn.ai/external-res/f6279b59e41140450ab7211890e945da.webp",
    "symbol": "SPITGUY",
    "name": "Spitting Guy",
    "launchpad": "ray_launchpad",
    "launchpad_platform": "letsbonk",
    "exchange": "ray_v4",
    "creator_token_status": "creator_hold",
    "dev_token_burn_amount": 0,
    "dev_token_burn_ratio": 0,
    "progress": 1,
    "total_supply": 1000000000,
    "usd_market_cap": 68949.503,
    "market_cap": 68949.503,
    "swaps_1h": 3761,
    "volume_1h": 189245.45436248,
    "top_10_holder_rate": 0.239152,
    "creator_balance_rate": 0.0308728962456,
    "rat_trader_amount_rate": 0.0260482,
    "bundler_trader_amount_rate": 0,
    "renowned_count": 0,
    "sniper_count": 4,
    "bot_degen_count": 9,
    "holder_count": 169,
    "liquidity": 29653.577402024963,
    "creator": "5umxEc8cDtLiYn4pjUikmG293NUQMg9fNsvPGnSxEAG7",
    "creator_created_open_count": 1,
    "creator_created_open_ratio": 0.2,
    "creator_created_count": 5,
    "fund_from": "",
    "rug_ratio": 0.11,
    "buys_1h": 2065,
    "sells_1h": 1713,
    "created_timestamp": 1754419692,
    "open_timestamp": 1754420655,
    "buy_tips": 0,
    "total_fee": 0.9332684885,
    "priority_fee": 0.2717677065,
    "tip_fee": 0.6615007820000001,
    "new_wallet_volume": 0,
    "entrapment_ratio": 0.026,
    "is_wash_trading": true,
    "renounced_mint": true,
    "renounced_freeze_account": true,
    "burn_status": "burn",
    "dev_team_hold_rate": 0,
    "suspected_insider_hold_rate": 0,
    "is_token_live": false,
    "top70_sniper_hold_rate": 0,
    "has_at_least_one_social": true,
    "twitter_is_tweet": false,
    "twitter": "i/communities/1952745979561607401",
    "website": "",
    "telegram": "https://t.me/SpittingGuySolana",
    "dexscr_ad": true,
    "dexscr_update_link": true,
    "dexscr_trending_bar": false,
    "dexscr_boost_fee": 99,
    "cto_flag": false,
    "twitter_rename_count": 0,
    "twitter_del_post_token_count": 0,
    "twitter_create_token_count": 11,
    "image_dup": 2,
    "status": 1
  }
}

This example output shows paid signal data for a single token. The actual output will be a list of similar objects for all processed signals.

Notes

• The collected data is stored in Apify's default data store.