Telegram Functionitem Create Scheduled – Communication & Messaging | Complete n8n Scheduled Guide (Intermediate)
This article provides a complete, practical walkthrough of the Telegram Functionitem Create Scheduled 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
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automating Readwise Updates to Telegram with n8n: A No-Code Workflow for Article Summaries Meta Description: Learn how to automate article curation by sending summaries from Readwise to Telegram using n8n. This no-code workflow fetches new articles, filters and formats them, and sends them via a Telegram bot every 10 minutes. Keywords: n8n workflow, n8n Readwise integration, Telegram bot automation, no-code automation, Readwise API, send articles to Telegram, binary file handling in n8n, readwise sync, automate content delivery, telegram article updates Third-Party APIs Used: - Readwise API (https://readwise.io/reader/api/state/) - Telegram Bot API (via n8n’s built-in Telegram integration) — Article: 📚 Automating Readwise to Telegram Article Updates with n8n If you’re an avid reader who uses Readwise Reader to save and organize articles, and you also rely on Telegram for daily updates, this article shows how to bring those two worlds together—without writing a single line of backend code. Leveraging the no-code platform n8n (short for "nodemation"), we can build a powerful, automated workflow that checks for new articles in your Readwise account and sends their summaries to a Telegram bot every 10 minutes. This automation allows you to stay informed without needing to manually check your Readwise dashboard. 🛠️ Overview of the Workflow This n8n workflow connects several key components: - It triggers automatically or manually, - Reads the last time it synced data from a local binary JSON file, - Sends a request to Readwise's API for updates, - Parses the response and filters relevant articles, - Sends formatted messages to a Telegram chat, - And finally, writes the new sync timestamp back to the local file to keep track of the next run. Let’s break down this elegant use of automation. 🚀 Components and Flow 1. 👉 Trigger Nodes: Start the Workflow The workflow can be triggered manually using a Manual Trigger node or automatically every 10 minutes using a Cron node. 2. 📂 Read Last Sync Timestamp from File The Read Binary File node retrieves the timestamp of the last update saved in JSON format. This timestamp is used to query the Readwise API only for articles created or updated since the last sync. 3. 🔄 File Data Conversion: Binary ↔ JSON Because the sync tracking file is stored as binary data, a Binary to JSON node is used to convert it to a format usable for constructing the API request. Later in the flow, this data is converted back to binary before saving to disk again. 4. 🌐 Sending the HTTP Request to Readwise A crucial part of the workflow is querying the Readwise reader/state endpoint. This is secured using an HTTP Header Authentication credential pre-set in n8n. Query parameters include the schemaVersion (set as 5) and a condition to return only articles updated after the last sync timestamp. 5. 🧹 Filtering and Formatting Articles Readwise's response can include various types of content (books, highlights, tweets, etc.), so a Function node filters out only articles with no children—a common pattern indicating standalone content. The result is a trimmed set of simplified JSON objects that include just the title, author, summary, and URL. 6. 📲 Sending Articles to Telegram Using the n8n Telegram node, these articles are sent to a predefined Telegram chat. The message format includes the article's title, author, summary, and direct URL, sent using a Telegram bot token. 7. 🕰️ Writing a New Sync Time To ensure the next run only fetches new data, another Function node calculates the current time and prepares it to be saved back as a timestamp. 8. 💾 Re-saving Timestamp Locally Before the script ends, the timestamp data is converted back into binary using the JSON to Binary node, and then stored using the Write Binary File node—overwriting the previous sync state. 🔐 Security Note: The workflow assumes secure storage and access to API credentials for both Readwise and Telegram. Use environment variables or locked credentials in n8n to prevent data leaks. 🎯 Why Use This Workflow? - Reduces the need to manually check Readwise for new articles. - Ensures only new content is fetched using incremental sync logic. - Sends content to a familiar interface (Telegram) for quick access on mobile or desktop. - Customizable filters and formats allow for expansion (e.g., send only long articles, group them, or add emoji categories). 🧠 Final Thoughts This kind of workflow showcases the power of no-code automation using n8n. Combining APIs, file storage, and classic scripting logic inside a single visual interface allows even non-developers to build personalized productivity tools. Try expanding this workflow by integrating it with task managers like Todoist or Notion, or trigger it when you save something new to Readwise manually. The flexibility is endless. With this automation in place, curated, relevant information is always delivered at your fingertips. — Happy automating! ✨
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- 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.