Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval

Workflow preview

100%

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

1. Workflow Overview

This workflow automatically converts incoming RSS/news articles into structured, AI enriched content records. It uses a local AI model to summarize articles, extract metadata, and classify content ...

Best for

Social Media automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatollama, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.postgres, n8n-nodes-base.telegramtrigger, n8n-nodes-base.code, n8n-nodes-base.noop, n8n-nodes-base.linkedin, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jyothish S L.

Original n8n.io source

1.1 Workflow description

Title: Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval
Workflow name: Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval

This workflow automatically converts incoming RSS/news articles into structured, AI-enriched content records. It uses a local AI model to summarize articles, extract metadata, and classify content before storing it in PostgreSQL. A human-in-the-loop approval step via Telegram ensures only validated content is published to LinkedIn, maintaining quality and brand safety.

⚙️ How it works Fetch RSS feed articles → AI summarizes content using Ollama → Extracts category, keywords, sentiment, and key points → Stores structured data in PostgreSQL → Sends content to Telegram for human approval → User approves or rejects → Approved content is marked in database → Automatically publishes approved posts to LinkedIn

📦 Requirements

n8n (latest version) PostgreSQL database Telegram Bot API credentials LinkedIn Developer App (OAuth2) Ollama (local AI runtime) with model like qwen2.5:3b RSS feed source (e.g., Ars Technica or any news feed)

📊 Database Table Required: rss_feed_articles

Stores AI-processed articles, metadata, and approval status for controlled publishing workflow.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Ollama Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOllama - lmChatOllama
Config choices: Version 1

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 3 - Insert rows in a table1

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 4 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 5 - Code in JavaScript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - No Operation, do nothing

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 7 - Create a post

Type / Role: n8n-nodes-base.linkedIn - linkedIn
Config choices: Version 1

Block 8 - No Operation, do nothing1

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Send message and wait for response

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - RSS Read

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.2

Block 12 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 13 - Select rows from a table

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 14 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 16 - Update rows in a table

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 17 - Update rows in a table1

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 18 - If1

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 19 - No Operation, do nothing3

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 20 - No Operation, do nothing4

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 21 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval
Complexity	advanced
Nodes	32
Categories	Social Media, AI Summarization
Author	Jyothish S L
Published	14 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15720/15720.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Social Media workflows AI Summarization workflows

Frequently asked questions

What does Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Social Media, AI Summarization use case.

Jyothish S L

4 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatollama @n8n/n8n-nodes-langchain.agent n8n-nodes-base.postgres n8n-nodes-base.telegramtrigger n8n-nodes-base.code n8n-nodes-base.noop n8n-nodes-base.linkedin n8n-nodes-base.stickynote

Complexity

advanced

Published 14 May 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/15720/15720.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Promote YouTube uploads to social channels with DeepSeek and Posta

## Quick overview This workflow fetches the latest video from a YouTube channel feed, generates platform-specific promo captions with DeepSeek, and creates draft promotion posts in Posta for active social media accounts. You can automatically promote your videos to all your social media. Add a "publish" at the end for auto-post. ## How it works 1. Runs manually when you click “Execute workflow”. 2. Fetches your YouTube channel RSS feed over HTTP, parses the XML, and extracts the latest video’s title, description, thumbnail URL, and link. 3. Downloads the video thumbnail and uploads it to Posta to create a reusable media asset. 4. Retrieves your social accounts from Posta, keeps only active accounts, and de-duplicates them to one account per platform. 5. Combines the latest video data with each target platform and asks DeepSeek (via an n8n LangChain LLM chain) to write a tailored promotional caption per platform. 6. Tags each generated caption with its platform and merges it back to the matching Posta social account. 7. Creates a draft Posta post per selected account, attaching the uploaded thumbnail and the platform-specific caption and video link. 8. (Optional) Add a "publish a post" at the end to automatically post to the social media channels (If you are feeling brave and trust the LLM), ## Setup 1. Add a Posta API credential and select it in the Posta nodes that list accounts, upload media, and create posts. 2. Add a DeepSeek API credential and select it in the DeepSeek Chat Model node. 3. Update the YouTube channel feed URL (channel_id) in the HTTP request that downloads the YouTube feed. 4. Review your Posta social accounts to ensure the intended accounts are marked active and have the correct platform values for de-duplication. ## Additional info Video explanation: https://youtu.be/tTWaYb71YyA

View

Post scheduled Threads updates from Google Sheets with error tracking

## Quick overview This workflow runs hourly to read the next pending post from Google Sheets, publishes it to Threads via the Threads Graph API, and then updates the sheet with published or failed status plus timestamps and error details. ## How it works 1. Runs every hour on a schedule. 2. Reads the first row in Google Sheets where the status column equals pending. 3. Retrieves the authenticated Threads account’s user ID from the Threads Graph API. 4. Creates a Threads text post container using the content from the pending Google Sheets row. 5. Publishes the post to Threads and updates the same Google Sheets row as published with posted_at and updated_at timestamps. 6. If any Threads API call fails, records the error message and marks the corresponding Google Sheets row as failed with an updated_at timestamp. ## Setup 1. Create a Meta app and generate a Threads access token, then add it to an HTTP Header Auth credential used for the Threads Graph API requests. 2. Set up a Google Sheets Service Account credential in n8n and share your target spreadsheet with the service account email. 3. Replace the placeholder Google Sheet ID in all Google Sheets nodes and confirm the sheet name is Sheet1 (or update it to match your sheet). 4. Ensure your sheet has the required columns (row_number, content, status, posted_at, updated_at, error_message) and set status to pending for posts you want published.

View

Send a daily product newsletter with Google Sheets and Gmail

## Quick Overview This workflow runs daily at 08:00, pulls products scheduled for today from Google Sheets, generates an HTML newsletter email, and sends it to each subscriber via Gmail. ## How it works 1. Runs every day at 08:00 on a schedule. 2. Reads all rows from the `newsletter_products` sheet in Google Sheets. 3. Keeps only products whose `send_date` matches today’s date and stops if none are found. 4. Builds an HTML email and subject line containing a card for each product (image, description, and optional referral link). 5. Reads the subscriber list from the `newsletter_recipients` sheet in Google Sheets. 6. Sends the generated newsletter to each recipient individually using Gmail. ## Setup 1. Create or copy a Google Sheets document with `newsletter_products` (including a `send_date` column) and `newsletter_recipients` (including an `email` column). 2. Add a Google Sheets OAuth2 credential in n8n and paste your Google Sheet ID into the Config step. 3. Add a Gmail OAuth2 credential and confirm the sender mailbox to use for sending the newsletter. 4. Add products and recipients to the sheet, run a test execution, and adjust the schedule/timezone if needed before activating.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Publish LinkedIn posts from RSS using Ollama, PostgreSQL and Telegram approval

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Ollama Chat Model

Block 2 - AI Agent

Block 3 - Insert rows in a table1

Block 4 - Telegram Trigger

Block 5 - Code in JavaScript

Block 6 - No Operation, do nothing

Block 7 - Create a post

Block 8 - No Operation, do nothing1

Block 9 - Sticky Note

Block 10 - Send message and wait for response

Block 11 - RSS Read

Block 12 - Loop Over Items

Block 13 - Select rows from a table

Block 14 - Sticky Note2

Block 15 - If

Block 16 - Update rows in a table

Block 17 - Update rows in a table1

Block 18 - If1

Block 19 - No Operation, do nothing3

Block 20 - No Operation, do nothing4

Block 21 - Sticky Note3

Block 22 - Sticky Note1

Block 23 - Sticky Note4

Block 24 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions