This article provides a complete, practical walkthrough of the Rssfeedread Telegram Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Building a Crypto News & Sentiment Analyzer Using n8n and GPT-4o
   
   Meta Description:  
   Discover how to build an automated Telegram bot using n8n, OpenAI GPT-4o, and crypto news RSS feeds to deliver real-time news summaries and market sentiment analysis directly to users.
   
   Keywords:  
   n8n workflow, crypto news bot, sentiment analysis, OpenAI GPT-4o, Telegram chatbot, RSS crypto feeds, cryptocurrency news, AI automation, langchain, GPT-4, news aggregation
   
   Third-Party APIs Used:
   
   - Telegram API (for receiving user messages and sending responses)
   - OpenAI API (GPT-4 and GPT-4o via Langchain for NLP and sentiment analysis)
   - RSS Feeds from:
     - Cointelegraph
     - Bitcoin Magazine
     - Coindesk
     - Bitcoinist
     - NewsBTC
     - CryptoPotato
     - 99Bitcoins
     - CryptoBriefing
     - Crypto.news
   
   Article:
   
   Automating Crypto News and Market Sentiment Analysis with n8n, OpenAI, and Telegram
   
   In the fast-paced world of cryptocurrency, staying ahead of the market means keeping a pulse on the latest news and understanding the sentiment behind it. But with dozens of crypto news sources updating in real-time, it’s nearly impossible to track every development manually. Enter automation.
   
   In this article, we’ll walk through an intelligent workflow built with n8n—a powerful open-source automation tool—that uses OpenAI’s GPT-4o, Telegram, and multiple RSS feeds to create a crypto news and sentiment analyzer. Once set up, users can send a keyword like "Bitcoin" or "Ethereum" to a Telegram bot and receive an AI-generated news summary and market sentiment analysis in seconds.
   
   🧠 How It Works
   
   At its core, this workflow is a blend of AI processing, smart filtering, and seamless messaging integration. Below is a high-level overview of the process:
   
   1. User sends a keyword (e.g., “Bitcoin”, “Solana”, or “Coinbase”) to a Telegram bot.
   2. The workflow identifies the keyword and sets up the session.
   3. It pulls articles from top crypto news sources via RSS.
   4. Articles are filtered based on the keyword’s relevance.
   5. A prompt is constructed and sent to OpenAI’s GPT-4o.
   6. GPT-4o returns a structured summary and sentiment analysis.
   7. The result is formatted and sent back to the user via Telegram.
   
   🔧 Key Highlights of the Workflow
   
   1. Telegram Integration for User Interaction  
      The Telegram Trigger node listens for messages from users. When a message arrives, the bot starts a new session and extracts the keyword for analysis. This user-friendly interface makes it accessible to anyone on a mobile device or desktop.
   
   2. AI-Powered Keyword Analysis  
      The “Crypto News & Sentiment Agent” node uses Langchain connected to OpenAI to interpret the user’s message and extract the most relevant keyword. This helps ensure the search results are focused—even when users are vague or imprecise.
   
   3. Real-Time Crypto News Aggregation  
      No fewer than nine crypto-focused RSS feeds are fetched in real-time, including:
   
      - Cointelegraph
      - BitcoinMagazine
      - Coindesk
      - Bitcoinist
      - NewsBTC
      - CryptoPotato
      - 99Bitcoins
      - CryptoBriefing
      - Crypto.news
   
      These articles are combined, normalized, and filtered based on the keyword identified earlier.
   
   4. Filtering and Prompt Generation  
      JavaScript code is used to filter the merged list of articles by checking the keyword presence in the title, snippet, and full content. A tailored prompt is then generated, listing all matched articles in a structured format to be sent to the language model.
   
      The AI is instructed to respond in three parts:  
      1. Brief Summary of News  
      2. Overall Market Sentiment  
      3. Hyperlinks to reference news articles  
   
   5. GPT-4o for Natural Language Insight  
      The magic happens here: OpenAI’s GPT-4o model interprets the news content and returns not just a summary, but an analysis of the market mood (e.g., bullish, bearish, neutral) based on article tone and frequency.
   
   6. Response Formatting & Telegram Delivery  
      Once GPT-4o finishes processing, the final response is formatted and sent directly to the user’s Telegram chat. The result is an always-on assistant that delivers timely insights about any coin, token, or crypto-related company.
   
   🚀 Use Cases
   
   - Crypto traders seeking real-time sentiment updates before making moves
   - Marketers analyzing public tone around blockchain projects
   - Journalists or newsletter curators looking for aggregated news summaries
   - Crypto enthusiasts keeping up with their favorite tokens via chat
   
   🛠️ How to Set It Up Yourself
   
   To replicate this workflow, you will need:
   
   1. An n8n instance (self-hosted or via n8n.cloud)
   2. OpenAI API Key (to connect to GPT-4o via Langchain)
   3. Telegram bot token (can be created using @BotFather)
   4. [Optional] Additional RSS feeds for broader or localized coverage
   
   Once configured, this automated system becomes your personal crypto news analyst that works 24/7 and gets smarter with every news cycle.
   
   💡 Final Thoughts
   
   This workflow is a perfect case study in how AI and no-code/low-code tools like n8n can come together to automate time-consuming, data-heavy tasks. Whether you're day-trading crypto or just passively following the industry, this bot provides up-to-date insights at your fingertips, powered by real news and real intelligence.
   
   Want to enhance it further? Consider adding price data from APIs like CoinGecko, alert features, or multi-language support using additional text translation nodes.
   
   The possibilities are limitless—and the news never stops.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.