GMGN Trending Scraper

GMGN Trending Scraper

GMGN Trending Tokens Scraper extracts real-time data from GMGN.ai trending crypto tokens across Ethereum, BSC, Base, Solana, Blast, and Tron networks. Track transactions, liquidity, price changes and risk metrics with customizable filters for effective market analysis and investment research.

DEVELOPER_TOOLSAUTOMATIONOTHERApify

GMGN Trending Tokens Scraper

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, Blast, and Tron), it collects comprehensive information such as transaction counts, liquidity, market value, and performance indicators.

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, Blast, and Tron networks
  • 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 filters (liquidity, market cap, number of holders, 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 Apify data repository and allows export in various formats (JSON, CSV, Excel)
  • Offers faster and more reliable results with proxy support
  • Ability to customize sorting criteria (transaction count, liquidity, market cap, etc.)

Use Cases

  • Market Trends Analysis: Analyzing trending tokens in the crypto market
  • New Token Discovery: Early discovery of new and rapidly popularizing tokens
  • Risk Assessment: Risk assessment of token profiles and 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)
    • sortBy: Sorting criterion (swaps, volume, marketcap, etc.)
    • sortDirection: Sorting direction (desc, asc)
    • tokenFilters: Token filters (optional)
    • developerFilters: Developer filters (optional)
    • proxyConfiguration: Proxy configuration

Example Input

1{
2  "chain": "sol",
3  "timeRange": "1h",
4  "sortBy": "swaps",
5  "sortDirection": "desc",
6  "tokenMaxAge": "1h",
7  "liquidityMin": "10000",
8  "marketCapMin": "50000",
9  "holderCountMin": "100",
10  "transactionsMin": "200",
11  "volumeMin": "50000",
12  "tokenFilters": ["not_wash_trading"],
13  "developerFilters": ["creator_hold"],
14  "proxyConfiguration": {
15    "useApifyProxy": true,
16    "apifyProxyGroups": []
17  }
18}

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

1{
2  "id": 163168174,
3  "chain": "sol",
4  "address": "6nczo5ZMLQLyzjeVguKcNpUQCexBYwrp8vpv2Legpump",
5  "symbol": "FOOLSDAY",
6  "logo": "https://dd.dexscreener.com/ds-data/tokens/solana/6nczo5ZMLQLyzjeVguKcNpUQCexBYwrp8vpv2Legpump.png?size=lg&key=a85e7e",
7  "price": 0.000120781,
8  "price_change_percent": -25.7541,
9  "swaps": 53369,
10  "volume": 997156,
11  "liquidity": 58755.8,
12  "market_cap": 120781,
13  "hot_level": 3,
14  "pool_creation_timestamp": 1743504136,
15  "holder_count": 5043,
16  "twitter_username": null,
17  "website": "https://en.wikipedia.org/wiki/April_Fools%27_Day",
18  "telegram": null,
19  "total_supply": 999999354,
20  "open_timestamp": 1743504136,
21  "price_change_percent1m": -12.783,
22  "price_change_percent5m": -18.7521,
23  "price_change_percent1h": -25.7541,
24  "buys": 37047,
25  "sells": 16322,
26  "initial_liquidity": 21791.5283452804,
27  "is_show_alert": false,
28  "top_10_holder_rate": 0.162966,
29  "renounced_mint": 1,
30  "renounced_freeze_account": 1,
31  "burn_ratio": "",
32  "burn_status": "unknown",
33  "launchpad": "Pump.fun",
34  "dev_token_burn_amount": null,
35  "dev_token_burn_ratio": null,
36  "dexscr_ad": 1,
37  "dexscr_update_link": 1,
38  "cto_flag": 0,
39  "twitter_change_flag": 0,
40  "creator_token_status": "creator_sell",
41  "creator_close": false,
42  "launchpad_status": 1,
43  "rat_trader_amount_rate": 0.0973597,
44  "bluechip_owner_percentage": 0.00892325996430696,
45  "smart_degen_count": 0,
46  "renowned_count": 0,
47  "rug_ratio": null,
48  "is_wash_trading": true
49}

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.

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!