n8n Solana Token Alerts: DexScreener, RugCheck & Telegram
n8n Solana Token Alerts: DexScreener, RugCheck & Telegram
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n8n Solana Token Alerts: DexScreener, RugCheck & Telegram
Regular price
£63.99
Regular price
£63.99
Sale price
Unit price
/
per
Get instant Telegram alerts for new Solana tokens—screened with DexScreener + RugCheck
This n8n workflow checks DexScreener every 5 minutes for newly listed Solana token profiles, enriches them with market pair metrics and a RugCheck risk summary, filters by your thresholds, and sends a formatted HTML alert to your Telegram chat.
What this workflow does
- Runs on a schedule: executes every 5 minutes to stay continuously up to date.
- Detects unseen tokens: pulls the latest token profiles from the DexScreener public API and stores processed token addresses in workflow static data to avoid duplicate alerts.
- Enriches each new token: fetches the highest-liquidity pair details from DexScreener and requests a RugCheck risk score summary.
- Combines and filters: merges token profile data, market metrics (price, liquidity, FDV, 24h volume), and RugCheck score/risks into one record.
- Applies your safety criteria: excludes tokens below minLiquidityUsd and above maxRiskScore.
- Sends actionable alerts: formats an HTML message including chart and RugCheck links, then sends it to the configured Telegram chat.
Use cases
- Active Solana monitoring: discover new token listings quickly while filtering for liquidity and RugCheck risk.
- Trading desk / ops tooling: route only relevant token opportunities to a Telegram channel for rapid review.
- SaaS operators & automation engineers: deploy a reusable DexScreener + RugCheck alert pipeline in n8n.
Technical details
- Scheduler: runs every 5 minutes.
- Nodes/logic used: if, set, code, wait, merge, telegram.
- Inputs & integrations: DexScreener public API, RugCheck risk summary, and Telegram.
-
Configuration: set
telegramChatId,chainId(default:solana),minLiquidityUsd, andmaxRiskScore.
Set up your Telegram bot via @BotFather, activate the workflow, and keep it running to maintain the “seen tokens” list between executions.
