Telegram + LinkedIn: posts written and published fast
You built something useful in n8n. Then it sits there. Not because it’s not share-worthy, but because turning a technical workflow into a clean LinkedIn post (with a decent image) is weirdly exhausting.
This Telegram LinkedIn automation hits automation consultants hardest, but founders and in-house marketers feel it too. You’ll go from “here’s my workflow JSON” to “here’s a ready-to-publish LinkedIn post + image” without opening a doc or a design tool.
You’ll send a workflow file in Telegram, review what AI drafts for you, tweak it if you want, then publish by replying. Simple loop. Very repeatable.
How This Automation Works
Here’s the complete workflow you’ll be setting up:
n8n Workflow Template: Telegram + LinkedIn: posts written and published fast
flowchart LR
subgraph sg0["Receive n8n JSON Flow"]
direction LR
n0@{ icon: "mdi:location-exit", form: "rounded", label: "Image 1 megapixel", pos: "b", h: 48 }
n1["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Receive n8n JSON"]
n2["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Get JSON File from Telegram"]
n3@{ icon: "mdi:cog", form: "rounded", label: "Parse Workflow JSON", pos: "b", h: 48 }
n4@{ icon: "mdi:robot", form: "rounded", label: "Gemini: Generate Post & Imag..", pos: "b", h: 48 }
n5["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/code.svg' width='40' height='40' /></div><br/>Parse Gemini Output"]
n6@{ icon: "mdi:database", form: "rounded", label: "Log Content to Google Sheet", pos: "b", h: 48 }
n7@{ icon: "mdi:swap-vertical", form: "rounded", label: "Set Image Generation Paramet..", pos: "b", h: 48 }
n8@{ icon: "mdi:swap-horizontal", form: "rounded", label: "Validate Image Dimensions", pos: "b", h: 48 }
n9["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/httprequest.dark.svg' width='40' height='40' /></div><br/>Cloudflare: Get Account ID"]
n10["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/httprequest.dark.svg' width='40' height='40' /></div><br/>Cloudflare: Generate Image"]
n11@{ icon: "mdi:cog", form: "rounded", label: "Convert Image to Binary", pos: "b", h: 48 }
n12["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Send Post Content For Verifi.."]
n13["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Send Image & Prompt to User"]
n1 --> n2
n5 --> n6
n5 --> n7
n5 --> n12
n3 --> n4
n11 --> n13
n8 --> n0
n8 --> n9
n10 --> n11
n9 --> n10
n2 --> n3
n7 --> n8
n4 --> n5
end
subgraph sg1["Trigger: Reply to Post Image Flow"]
direction LR
n14["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Trigger: Reply to Post Image"]
n15["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/telegram.svg' width='40' height='40' /></div><br/>Get Image from Reply"]
n16["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/linkedin.svg' width='40' height='40' /></div><br/>Publish Post to LinkedIn"]
n15 --> n16
n14 --> n15
end
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class n1,n2,n5,n9,n10,n12,n13,n14,n15,n16 customIcon
Why This Matters: Posting Consistently Without Losing Half a Day
Most people don’t struggle with ideas. They struggle with translation. A workflow JSON is valuable proof of work, but it’s not content someone wants to read on LinkedIn. So you open a blank page, try to explain what the automation does, rewrite it three times, then realize you still need a visual. Add a call-to-action that doesn’t feel pushy. Now you’re 45 minutes in and you haven’t even posted.
The friction compounds. Here’s where it breaks down.
- You end up posting only when you have “extra time,” which honestly never shows up on the calendar.
- Your posts come out too technical or too vague, so they don’t attract the right leads or conversations.
- Images become the bottleneck, because screenshots are inconsistent and custom graphics take effort you can’t justify daily.
- Even after writing, you still have to copy text, attach the image, double-check formatting, and hit publish at the right moment.
What You’ll Build: From Workflow File to Published LinkedIn Post
This automation turns your n8n workflow JSON into a polished LinkedIn post, plus a custom AI-generated image to match. It starts in Telegram: you send your workflow file to a “Generator” bot. n8n reads the file, hands it to Google Gemini with a detailed prompt, and gets back a post draft in a high-engagement style (either “Builder” or “Strategist”), along with a separate prompt designed specifically for image generation. Next, n8n sends that image prompt to Cloudflare Workers AI to generate a clean visual with a headline concept baked in. Finally, everything comes back to Telegram for your review, because you should stay in control.
When you’re happy, publishing is just a reply. You send the image to a second Telegram bot, reply with your final post text, and the workflow publishes to your LinkedIn profile automatically, as a single post with the image attached.
What You’re Building
| What Gets Automated | What You’ll Achieve |
|---|---|
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Expected Results
Say you want to share 4 workflows a week. Manually, a realistic run looks like: about 30 minutes to write, 20 minutes to make an image, then 10 minutes to format and publish. Call it 1 hour per post, so roughly 4 hours weekly. With this workflow, you send the JSON in Telegram (2 minutes), wait for the draft and image to come back (maybe 5–10 minutes while you do other work), then reply to publish (1 minute). You still review, but you get most of your week back.
Before You Start
- n8n instance (try n8n Cloud free)
- Self-hosting option if you prefer (Hostinger works well)
- Telegram for the two-bot review + publish loop.
- Google Gemini to write the post and image prompt.
- Cloudflare Workers AI API token (get it from your Cloudflare dashboard) and your Cloudflare Account ID.
- LinkedIn to publish posts to your profile.
- Google Sheets to log keyword, style, and prompts.
Skill level: Intermediate. You won’t write code, but you will set credentials, paste an Account ID into a URL, and test Telegram triggers.
Want someone to build this for you? Talk to an automation expert (free 15-minute consultation).
Step by Step
You send a workflow file to Telegram Bot 1. Drop the n8n workflow JSON into a chat with your Generator bot. That message is the trigger that starts content creation.
n8n reads the file and extracts the important parts. It ingests the JSON (and can also handle binary files and PDFs in the same general “read and interpret” pattern), then prepares a clean payload for AI to understand what the workflow actually does.
Gemini writes the post and crafts an image prompt. The prompt guides Gemini to produce a LinkedIn post in a clear style (“Builder” or “Strategist”), plus a separate prompt for the visual headline and concept so the image is aligned with the text.
Cloudflare generates the image and Telegram sends you the preview. You receive the drafted post text and the generated image back in Telegram for review, edits, and minor cleanup (tone, CTA, personal detail).
You reply via Telegram Bot 2 to publish on LinkedIn. Forward the image to the Publisher bot, reply with your final text, and n8n posts to LinkedIn with both attached.
You can easily modify the post style or the CTA angle to match your audience. See the full implementation guide below for customization options.
Troubleshooting Tips
- Google Gemini credentials can expire or be tied to the wrong project. If things break, check your n8n credential settings and the Google API key restrictions first.
- If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
- Cloudflare Workers AI calls often fail because the Account ID in the HTTP Request URL is still a placeholder. Update the URL in the “Get accounts” / image generation request and confirm your token has the right permissions.
Quick Answers
About 30 minutes once your credentials are ready.
No. You’ll mostly connect accounts and paste in IDs/tokens where the workflow expects them.
Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in Gemini and Cloudflare Workers AI usage, which is usually a small per-request cost.
Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.
Yes, and you probably should. You can swap the Google Gemini prompt to enforce your brand voice, change the “Builder/Strategist” style logic, or replace the Cloudflare image generation HTTP Request with a different image model. Many people also tweak the Google Sheets logging fields to track topic, hook type, and performance notes.
Usually it’s the wrong bot token in the wrong Telegram node, since this setup uses two bots. Double-check Bot 1 is used only for generation and Bot 2 is used only for publishing. Also confirm the bot can “see” the message you’re sending (some Telegram setups behave differently in groups vs. DMs), then re-run a test message after saving credentials.
If you self-host, there’s no execution limit (it mainly depends on your server and API rate limits). On n8n Cloud, volume depends on your plan’s monthly executions, but this workflow is typically one execution per post generation and one execution per publish.
Often, yes. This flow benefits from multi-step AI prompting, file handling (workflow JSON in, image out), and conditional logic, which is where n8n tends to feel more flexible. The two-bot “human review, then publish” pattern is also easier to control when you own the logic end to end. Zapier or Make can still work if you keep it simple, but you may hit limits once you add image generation, logging, retries, and branching. If you want help choosing, Talk to an automation expert.
Once this is running, your projects stop dying in private repos. You’ll ship proof-of-work content in minutes, keep control of the final edit, and stay consistent without the weekly writing marathon.
Need Help Setting This Up?
Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.
