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GMGN Sniper New Tokens Scraper

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GMGN Sniper New Tokens Scraper

GMGN Sniper New Tokens Scraper

muhammetakkurtt/gmgn-sniper-new-scraper

Developed by

Muhammet Akkurt

Maintained by Community

GMGN Sniper New Token Scraper: Powerful Apify actor that automatically identifies new and trending crypto tokens from GMGN.ai. Operates across ETH, BSC, Base, SOL, Blast and Tron networks. Captures transaction data, risk metrics and market performance to spot early investment opportunities.

5.0 (1)

Pricing

Pay per event

2

Monthly users

1

Runs succeeded

>99%

Last modified

a day ago

GMGN Sniper New Token Scraper

GMGN Sniper New Token Scraper

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

GMGN Sniper New Token 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 dataset including transaction counts, price changes, and risk metrics
  • Multi-Blockchain Support: Works on Ethereum, BSC, Base, Solana, Blast, and Tron networks
  • Customizable Data Collection: Ability to collect data according to your needs with risk filtering and featured token options

Features

  • Extracts comprehensive statistical data from newly released (snipe new) crypto tokens on GMGN.ai
  • Offers various risk filtering options
  • Provides the ability to specifically display featured tokens
  • Stores collected data in Apify data repository and allows exporting in various formats (JSON, CSV, Excel)
  • Offers faster and more reliable results with proxy support
  • Flexibility to work on different blockchain networks
  • Identifies and alerts users about new tokens trending within 1-minute timeframes, enabling quick response to market movements

Use Cases

  • Market Trend Analysis: Analyzing newly released tokens in the crypto market
  • New Token Discovery: Early discovery of new and rapidly popularizing tokens
  • Risk Assessment: Risk assessment and investment strategies for token profiles
  • Market Research: Researching the performance of crypto assets on 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 be scanned (eth, bsc, base, sol, blast, tron)
    • filterRisks: Risk filtering (optional, default true)
    • showFeatured: Show featured tokens (optional, default false)
    • proxyConfiguration: Proxy configuration

Example Input

1{
2  "chain": "sol",
3  "filterRisks": true,
4  "showFeatured": false,
5  "proxyConfiguration": {
6    "useApifyProxy": true,
7    "apifyProxyGroups": []
8  }
9}

Output

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

  • id: Token ID
  • message_id: Message ID
  • message_type: Message type
  • chain: Blockchain network
  • token_address: Token address
  • token_price: Token price
  • price_change_percent: Price change percentage
  • timestamp: Timestamp
  • is_show_alert: Alert display status
  • featured: Featured token status
  • signal_data.open_timestamp: Opening time
  • signal_data.market_cap: Market value
  • signal_data.swaps_1m: Number of swaps in 1 minute
  • signal_data.volume_1m: Transaction volume in 1 minute
  • token_data.token_symbol: Token symbol
  • token_data.token_logo: Token logo URL
  • token_data.price: Price
  • token_data.buy_tax: Buy tax
  • token_data.sell_tax: Sell tax
  • token_data.hot_level: Popularity level
  • token_data.renounced_mint: Renounced mint status
  • token_data.renounced_freeze_account: Renounced account freezing status
  • token_data.top_10_holder_rate: Top 10 holder rate
  • token_data.burn_status: Burn status
  • token_data.burn_ratio: Burn ratio
  • token_data.is_open_source: Open source status
  • token_data.renounced: Renounced status
  • token_data.lock_info: Lock information
  • launchpad: Launch platform

Example Output

1{
2  "id": 796448,
3  "message_id": 796448,
4  "message_type": "snipe_new",
5  "chain": "sol",
6  "token_address": "9bppFxfbEg7fWRLfMKbQ1dZWN8NhZnpvrGRwFWQicACV",
7  "token_price": 0.000018534301,
8  "price_change_percent": 0.5403347424262723,
9  "timestamp": 1743681733,
10  "is_show_alert": false,
11  "featured": false,
12  "signal_data": {
13    "open_timestamp": 1743681566,
14    "market_cap": 21395.285,
15    "swaps_1m": 209,
16    "volume_1m": 4823.66093293
17  },
18  "token_data": {
19    "token_symbol": "TTT",
20    "token_logo": "https://gateway.irys.xyz/K47ePMi0OZBuT6I4GUGxq_XYtZ2kxb0ea09lEVNATY4",
21    "price": 0.000021395285,
22    "buy_tax": null,
23    "sell_tax": null,
24    "hot_level": 0,
25    "renounced_mint": 1,
26    "renounced_freeze_account": 1,
27    "top_10_holder_rate": 0.54718,
28    "burn_status": "unknown",
29    "burn_ratio": "",
30    "is_open_source": null,
31    "renounced": null,
32    "lock_info": null
33  },
34  "launchpad": null
35}

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.

Pricing

Pricing model

Pay per event 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Actor start

$0.010

Charge when the actor starts running

Each Page Scrape

$0.010

Charge for each page scraping

Token Data Scraped

$0.003

Charge for each individual token data item successfully retrieved and saved to the dataset.

Actor Completion

$0.010

Charge when all processes are successfully completed.