GMGN.ai Token Scraper — Meme Coins & DeFi Data

Scrape real-time trending meme-coin and DeFi token data from GMGN.ai — the leading DeFi analytics platform tracking tokens on Solana, Ethereum, Base, BSC, and Tron.

Returns 40+ fields per token including price, volume, market cap, liquidity, holder count, trading activity, and a full DeFi risk-signal suite: honeypot detection, rug ratio, sniper count, bundler rate, smart-money flow, and blue-chip ownership. No API key required. No login required. Pay per token result.

Faster alpha. Safer trades. Structured data your bots can actually use.

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What You Get — 40+ Fields Per Token

Category	Fields
Identity	address, symbol, name, chain, rank
Price	price, price_change_pct_1m/5m/1h/6h/24h, price_change_pct_period
Market	volume, market_cap, liquidity, total_supply, initial_liquidity
Trading	swaps, buys, sells
Holders	holder_count, top_10_holder_rate
Risk	is_honeypot, rug_ratio, sniper_count, bundler_rate, renounced_mint, renounced_freeze_account, bluechip_owner_percentage, smart_degen_count, bot_degen_count
Socials	twitter_username, website, telegram
Timing	open_timestamp, created_at (ISO UTC)
Quality	parse_confidence, warnings

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Why This GMGN Scraper Beats Manual Monitoring

GMGN's web UI shows you trending tokens — but you can't pipe that data into a trading bot, a risk screener, or an analytics dashboard without an API. This actor gives you exactly that: structured JSON output for every token on GMGN's trending lists, automatically, on your schedule.

• 5 chains in one run: Solana, Ethereum, Base, BSC, Tron — no separate scrapers
• 5 time windows: 1m, 5m, 1h, 6h, 24h — catch both micro-momentum and daily trends
• Risk signals baked in: honeypot + rug ratio + sniper count in every record — no manual filtering
• parse_confidence on every record: machine-readable quality signal so your pipeline knows when the source has changed

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How to Use

Trending mode (default)

{
  "mode": "trending",
  "chains": ["sol", "eth"],
  "periods": ["1h", "24h"],
  "orderby": "swaps",
  "filters": ["not_honeypot"]
}

• chains: sol, eth, base, bsc, tron
• periods: 1m, 5m, 1h, 6h, 24h
• orderby: swaps, volume, marketcap, holder_count, smartmoney, liquidity, open_timestamp
• filters: optional safety pre-filters — not_honeypot, renounced, verified

Each chain × period combination returns up to 100 tokens.

Token detail mode

{
  "mode": "token_detail",
  "chains": ["sol"],
  "tokenAddresses": [
    "So11111111111111111111111111111111111111112",
    "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v"
  ]
}

Fetches metadata (decimals, circulating supply, pool address, creation time) for specific token addresses.

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Use Cases

Trading bot alpha feed

Pull 1m and 5m trending tokens sorted by swaps to detect early momentum before price moves. Filter is_honeypot=false server-side and feed directly into your entry logic.

DeFi risk screening

Before buying any token, verify rug_ratio, sniper_count, and bundler_rate. Tokens with renounced_mint=true and bluechip_owner_percentage > 0.05 signal safer projects.

Cross-chain market analytics

Compare trending volume across Solana vs Ethereum vs Base simultaneously. Identify which chains show early capital rotation.

AI agent data layer

Works as a structured data source for AI agents via the Apify MCP server. Your LLM agent can pull fresh token data on demand without custom API integration.

Smart-money tracking

Filter by smart_degen_count > 0 to find tokens attracting attention from GMGN's tracked smart wallets before they trend in mainstream feeds.

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Pricing

$2.00 per 1,000 token results (Pay Per Event — token-result).

Run scope	Tokens	Cost
Single chain × single period (e.g. sol/1h)	~100	$0.20
2 chains × 2 periods	~400	$0.80
Full sweep (5 chains × 5 periods)	~2,500	$5.00

You only pay for tokens successfully returned. Failed fetches are not charged.

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Technical Notes

Access handling

Uses lightweight HTTP requests that pass Cloudflare's checks without a browser or any API key (verified live 2026-06-04).

Parse confidence

Every record includes parse_confidence (0.0–1.0). Values below 0.8 indicate the API response structure may have changed — your downstream pipeline can alert on this without manual checks.

Proxy

Default: Apify Residential (buyer-paid). Datacenter IPs may receive higher Cloudflare bot scores — residential is the safe default for cloud runs.

No API key required

GMGN's public trending endpoints are accessible without authentication. This actor requires no GMGN account, no API subscription.

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Not affiliated with GMGN.ai. Data is retrieved from publicly accessible GMGN.ai endpoints.

Integrations

Built for DeFi traders and on-chain analysts feeding meme-coin risk signals and smart-money flows into trading bots — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

What it does

GMGN.ai Token Scraper — Meme Coins & DeFi Data is a data-collection tool for the ai, marketing, and developer tools category. The inputs let you set the scope and preferences for a run, while the results provide organized records that are easier to review and use.

Input

Provide the values that define the scope and preferences for the run. Review each option before starting so the resulting dataset matches the information you want to analyze or reuse.

Name	Type	Description	Default
chains	array	Blockchain(s) to scrape. Supported: sol (Solana), eth (Ethereum), base (Base), bsc (BNB Chain), tron (Tron). Default: ['sol']. Multiple chains produce independent result sets.	["sol"]
filters	array	Optional GMGN API filters to apply. Common values: not_honeypot, renounced, verified. Leave empty for unfiltered results (includes risky tokens).	—
includeTokenDetail	boolean	When enabled in trending mode, makes an additional /api/v1/token_info request per token to add decimals, circulating_supply, biggest_pool_address fields. Slower and more requests, but richer data.	false
maxResults	integer	Maximum total records to push across all chains+periods. 0 = no limit (returns all). Each chain×period combination yields up to 100 tokens.	0
mode	string	trending — fetch top 100 tokens from GMGN rank/swaps (default). token_detail — fetch metadata for specific token addresses you supply.	"trending"
orderby	string	Field to sort trending results by. swaps = most active trading. volume = highest USD volume. marketcap = largest market cap. holder_count = most holders. smartmoney = smart-money trader flow. liquidity = most liquid. open_timestamp = newest tokens.	"swaps"
periods	array	Time window(s) for trending mode. Options: 1m, 5m, 1h, 6h, 24h. Each period returns up to 100 tokens sorted by the orderby field. Multiple periods = independent result sets.	["1h"]
proxyConfiguration	object	Apify proxy settings. Default residential proxy recommended for reliable access. The actor uses curl_cffi Chrome impersonation to match a real Chrome TLS profile. Datacenter IPs may be less reliable; residential increases reliability.	{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}
tokenAddresses	array	List of token contract addresses to look up. Required when mode=token_detail. Example for Solana: ['So11111111111111111111111111111111111111112']	—

Output

A successful run produces a dataset of structured items collected according to your inputs. You can review the records, use them in analysis, or pass them to another part of your workflow. The exact fields depend on the source data and the options selected for the run.

Usage

1. Open the actor page.
2. Fill in the input values and review the configuration.
3. Run the actor and wait for the collection to finish.
4. Download the results from the dataset and use the records in your preferred workflow.