🚀 DexScreener Pair Scraper

Unlock the power of real-time pair data from DexScreener with this powerful Apify Actor. For traders, developers, and crypto enthusiasts, this tool provides detailed insights into any trading pair, helping you make informed decisions and stay ahead of the market.

Why Choose DexScreener Pair Scraper?

For those who need a granular view of token pairs, this Actor is your go-to solution. It extracts comprehensive data, from liquidity and volume to social links and contract addresses, giving you a complete picture of any pair's activity.

💎 Key Benefits

• Deep Dive into Pairs: Get detailed information on specific token pairs, not just individual tokens.
• Real-Time Data: Access up-to-the-minute data to inform your trading strategies.
• Comprehensive Insights: Collect everything from price action and liquidity to social media links and contract addresses.
• Seamless Integration: Export clean, structured JSON data that's ready for your analytics tools, dashboards, or custom applications.

🌐 Multi-Blockchain Coverage

This Actor can scrape pair data from any blockchain supported by DexScreener, including:

• Ethereum (ETH)
• Binance Smart Chain (BSC)
• Solana (SOL)
• Polygon (MATIC)
• Avalanche (AVAX)
• Fantom (FTM)
• ...and many more!

📊 Comprehensive Data Fields

When you run the Actor, you’ll receive a detailed JSON output with the following fields:

• URL: The DexScreener URL of the pair.
• Token Name, Symbol, and Base Token Symbol: Identifiers for the tokens in the pair.
• Price Data: Prices in both USD and the native token.
• Liquidity, FDV, and Market Cap: Key financial metrics.
• Price Changes: 5-minute, 1-hour, 6-hour, and 24-hour price percentage changes.
• 24-Hour Stats: Transaction counts, volume, and maker counts.
• Buy/Sell Data: Detailed breakdown of buy/sell volumes and unique buyer/seller counts.
• Contract Addresses: Pair, token, and base token addresses.
• Social Links: Website, Twitter, and Telegram links for the token.

📝 Input Parameters

The Actor accepts two input parameters:

1. urls - An array of strings containing direct DexScreener URLs
2. tokens - An array of objects for token configurations (chain + pair address)

Input Structure

Property	Type	Required	Description
urls	array	No	List of full DexScreener URLs to scrape.
tokens	array	No	List of token configurations with chain and pair address.

Token Configuration Object

Key	Type	Required	Description
chain	string	Yes	The blockchain of the pair (e.g., solana, ethereum).
pairAddress	string	Yes	The address of the token pair.

Example Input

Using URLs

{
  "urls": [
    "https://dexscreener.com/solana/9yxd9lg6n7kszfi56qj1ge6limjiuviqpsj8zca6reyh",
    "https://dexscreener.com/ethereum/0x1234567890abcdef"
  ]
}

Using Token Configurations

{
  "tokens": [
    {
      "chain": "solana",
      "pairAddress": "9yxd9lg6n7kszfi56qj1ge6limjiuviqpsj8zca6reyh"
    },
    {
      "chain": "ethereum", 
      "pairAddress": "0x1234567890abcdef"
    }
  ]
}

Combined Usage

{
  "urls": [
    "https://dexscreener.com/solana/9yxd9lg6n7kszfi56qj1ge6limjiuviqpsj8zca6reyh"
  ],
  "tokens": [
    {
      "chain": "ethereum",
      "pairAddress": "0x1234567890abcdef"
    }
  ]
}

Default Behavior

If no input is provided, the Actor will scrape a default Solana pair as an example.

📈 Example Output Structure

{
  "url": "https://dexscreener.com/solana/9yxd9lg6n7kszfi56qj1ge6limjiuviqpsj8zca6reyh",
  "token_name": "airfryer coin",
  "token_symbol": "AIRFRY",
  "base_token_symbol": "SOL",
  "price_usd": 0.0006539,
  "price_native": "0.053313",
  "liquidity": 104000.0,
  "fdv": 653000.0,
  "mkt_cap": 653000.0,
  "change_5m": 0.0135,
  "change_1h": 0.0572,
  "change_6h": 0.2112,
  "change_24h": 2.01,
  "txns_24h": 40744,
  "volume_24h": 3900000.0,
  "makers_24h": 12475,
  "buys_24h": 23119,
  "sells_24h": 17625,
  "buy_vol_24h": 1900000.0,
  "sell_vol_24h": 1900000.0,
  "buyers_24h": 10960,
  "sellers_24h": 8295,
  "pair_created": "DEX",
  "pooled_token": "SOL",
  "pooled_base_token": "So11111111111111111111111111111111111111112",
  "pair_address": "9Yxd9LG6n7KszFi56QJ1GE6LiMjiuviqPSJ8ZcA6reyh",
  "token_address": "4qTJV18HH5YUz9KSAdGEnVQuxPkR9c4gDwV7TaMxbonk",
  "website": "https://www.airfryercoin.com",
  "twitter": "https://x.com/airfryercoin",
  "telegram": "https://t.me/airfryersolana"
}

🔍 TypeScript Type

interface PairData {
  url: string;
  token_name?: string;
  token_symbol?: string;
  base_token_symbol?: string;
  price_usd?: number;
  price_native?: string;
  liquidity?: number;
  fdv?: number;
  mkt_cap?: number;
  change_5m?: number;
  change_1h?: number;
  change_6h?: number;
  change_24h?: number;
  txns_24h?: number;
  volume_24h?: number;
  makers_24h?: number;
  buys_24h?: number;
  sells_24h?: number;
  buy_vol_24h?: number;
  sell_vol_24h?: number;
  buyers_24h?: number;
  sellers_24h?: number;
  pair_created?: string;
  pooled_token?: string;
  pooled_base_token?: string;
  pair_address?: string;
  token_address?: string;
  website?: string;
  twitter?: string;
  telegram?: string;
}

🐍 Pydantic Model

from pydantic import BaseModel
from typing import Optional

class PairData(BaseModel):
    url: str
    token_name: Optional[str] = None
    token_symbol: Optional[str] = None
    base_token_symbol: Optional[str] = None
    price_usd: Optional[float] = None
    price_native: Optional[str] = None
    liquidity: Optional[float] = None
    fdv: Optional[float] = None
    mkt_cap: Optional[float] = None
    change_5m: Optional[float] = None
    change_1h: Optional[float] = None
    change_6h: Optional[float] = None
    change_24h: Optional[float] = None
    txns_24h: Optional[int] = None
    volume_24h: Optional[float] = None
    makers_24h: Optional[int] = None
    buys_24h: Optional[int] = None
    sells_24h: Optional[int] = None
    buy_vol_24h: Optional[float] = None
    sell_vol_24h: Optional[float] = None
    buyers_24h: Optional[int] = None
    sellers_24h: Optional[int] = None
    pair_created: Optional[str] = None
    pooled_token: Optional[str] = None
    pooled_base_token: Optional[str] = None
    pair_address: Optional[str] = None
    token_address: Optional[str] = None
    website: Optional[str] = None
    twitter: Optional[str] = None
    telegram: Optional[str] = None

🚀 Get Started

Simply provide a DexScreener pair URL to the Actor and run it. You'll get a detailed JSON output with all the information you need to analyze the pair's performance and potential.