This article provides a complete, practical walkthrough of the Telegram Rssfeedread Automation 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

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:  
   Automating Social Updates: How an n8n Workflow Sends Instagram & Weibo RSS Posts to Telegram
   
   Meta Description:  
   This article explores a powerful n8n automation workflow that polls Instagram and Weibo RSS feeds and posts new content to Telegram channels with image and text handling logic.
   
   Keywords:  
   n8n workflow, Telegram bot, RSS automation, Instagram RSS, Weibo RSS, Telegram automation, social media automation, no-code automation, content curation, RSS to Telegram
   
   Third-Party APIs Used:
   
   1. RSSHub (https://rsshub.app) – for RSS feeds of Instagram and Weibo
   2. Telegram Bot API – for sending messages and images to Telegram channels
   
   Article:
   
   In today’s content-driven digital landscape, automation is key to maintaining timely updates across platforms. Whether you’re managing a news feed, sharing curated content, or running a social media channel, automating your content publishing can be a game-changer.
   
   In this article, we’ll walk through a powerful n8n-based workflow that automatically sends new posts from Instagram and Weibo RSS feeds to designated Telegram channels. Equipped with logic to parse images, detect duplicates, and customize post formats, this no-code automation makes content distribution hands-free and efficient.
   
   The Challenge
   
   Many public figures or brands release updates on multiple platforms, but consolidating those into a single messaging channel—like Telegram—often requires manual effort. Pulling content from RSS feeds and pushing it to a channel, while filtering out duplicates and formatting properly (especially for posts with media), can be tedious.
   
   Enter n8n: the open-source workflow automation tool that bridges APIs and dataflows seamlessly, allowing users to build complex automations with little or no code.
   
   Overview of the Workflow
   
   This n8n workflow serves one purpose: to periodically check Instagram and Weibo RSS feeds and post updates to two Telegram channels. Here's a breakdown of the core functions:
   
   1. Periodic Triggers
   
   At the heart of the workflow is a Cron node that executes the process every minute. This node simultaneously triggers two RSS Feed Readers, each pointing to:
   
   - Weibo RSS: https://rsshub985.herokuapp.com/weibo/user/5721376081
   - Instagram RSS: https://rsshub985.herokuapp.com/instagram/user/tsai_ingwen/
   
   2. Duplicate Detection
   
   Since RSS feeds often include previously fetched posts, the workflow must avoid reposting identical entries:
   
   - A Function node fetches and compares the stored “old link” (saved in the workflow’s static global data) with the current post’s link.
   - An If node checks if the current post is the same as the last one. If it is, the workflow stops for that post. If not, it proceeds.
   
   This logic is duplicated for both RSS sources, ensuring independent tracking of Weibo and Instagram links.
   
   3. Image Parsing Logic
   
   Once a new entry is detected, a Function node parses the HTML content of the RSS item to extract image URLs:
   
   - A regular expression captures all <img> tags.
   - The 'src' attributes of these tags are then extracted to form an array of image URLs.
   - The total number of images is also calculated and stored for decision-making.
   
   4. Content Handling Based on Media Availability
   
   An If node checks how many images are included in the post:
   
   - If exactly one image is present:  
     A sendPhoto Telegram node shares the image with a caption containing the text from the RSS item.
   
   - If the image count is not one (zero or more than one):  
     A plain text Telegram node sends just the snippet and link—clean, concise, and without attempting media attachments.
   
   5. Telegram Output
   
   The final stage in the workflow is the dispatch to Telegram:
   
   - Weibo posts are sent to chat ID: -1001314058276
   - Instagram posts are sent to chat ID: -1001499587010
   
   The Telegram nodes differentiate based on the number of images detected, ensuring messages are tailored for clarity and engagement.
   
   Why This Setup is Smart
   
   This workflow showcases several effective automation principles:
   
   - Batch Processing (batchSize = 1): Ensures sequential handling of RSS entries to prevent race conditions.
   - Intelligent Caching: Using n8n’s static data to track last processed links supports scalability without external databases.
   - Conditional Logic: Only relevant new content is sent, and based on content type, formatting is dynamically chosen.
   - Scalable Architecture: This workflow could easily be extended to support more feeds, image galleries, or enriched formatting.
   
   Conclusion
   
   This n8n workflow is a brilliant example of how low-code automation can bridge platforms like Weibo, Instagram, and Telegram effortlessly. With minimal setup and powerful built-in logic, it ensures social content is captured, filtered, and pushed live with little to no manual input.
   
   Whether you run a news aggregation channel, a fan page, or a multilingual social media hub, such automation saves time, reduces errors, and boosts audience engagement. With a tool like n8n, your workflows evolve from tasks to symphonies.
   
   Now go automate your world—one feed at a time.
   
   — End —

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.