
GMGN Trending Scraper
Pricing
Pay per event

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.
5.0 (1)
Pricing
Pay per event
2
Monthly users
10
Runs succeeded
>99%
Last modified
13 days ago
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.
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, 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
- Run this actor in the Apify console.
- 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 IDchain
: Blockchain networkaddress
: Token addresssymbol
: Token symbollogo
: Logo URLprice
: Priceprice_change_percent
: Price change percentageswaps
: Number of transactionsvolume
: Transaction volumeliquidity
: Liquiditymarket_cap
: Market caphot_level
: Popularity levelpool_creation_timestamp
: Pool creation timeholder_count
: Number of holderstwitter_username
: Twitter usernamewebsite
: Websitetelegram
: Telegram addresstotal_supply
: Total supplyopen_timestamp
: Opening timeprice_change_percent1m
: 1-minute price changeprice_change_percent5m
: 5-minute price changeprice_change_percent1h
: 1-hour price changebuys
: Number of buyssells
: Number of sellsinitial_liquidity
: Initial liquidityis_show_alert
: Alert display statustop_10_holder_rate
: Ratio of top 10 holdersrenounced_mint
: Renounced mint statusrenounced_freeze_account
: Renounced freeze account statusburn_ratio
: Burn ratioburn_status
: Burn statuslaunchpad
: Launch platformcreator_token_status
: Developer token statuscreator_close
: Developer close statusrat_trader_amount_rate
: Novice trader amount ratiobluechip_owner_percentage
: Bluechip ownership percentagesmart_degen_count
: Smart degen countrenowned_count
: Renowned person countis_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.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Actor start
$0.010
Charge when the actor starts running
Each Page Scrape Charge for each page scraping
$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.