Starred Slack messages to Notion database with AI auto-tagging
Who is this for?
Teams that want to capture important Slack messages in Notion with smart categorization. Perfect for knowledge workers, community managers, or any team that needs to preserve valuable conversations from Slack and organize them automatically in a Notion database.
What problem does this solve?
Important Slack messages get buried in chat history and are hard to find later. This workflow monitors your Slack channel and automatically saves starred messages to Notion with AI-generated titles and smart tags. No more manually copying messages or losing track of important discussions.
How it works
Trigger - Schedule Trigger fires every 10 minutes to check for new messages.
Get Slack Messages - fetches recent messages from your specified Slack channel within the last 10 minutes.
Star Filter - only processes messages that have been reacted to with a β emoji (configurable to any emoji).
Get Message Link - retrieves the permanent link to the starred Slack message.
Choose Notion DB - connects to your target Notion database and loads available tag options.
Set Tags - prepares the available tags from your Notion database for AI processing.
AI Processing - uses OpenAI GPT-4o-mini to:
- Generate a concise title (under 50 characters)
- Automatically categorize the message with existing tags (90%+ confidence threshold)
Create Notion Page - saves the message to Notion with:
- AI-generated title
- Auto-selected tags
- Original message content
- Permanent link back to Slack
Setup steps
1. Import and connect credentials
- Import this template into n8n
- Connect your Slack API credentials (Slack Bot Setup Guide)
- Connect your Notion API token (Notion Integration Guide)
- Connect your OpenAI API credentials
2. Configure Slack integration
- Create a Slack bot and add it to your target channel
- Update the channelId in "Get Slack Messages" node with your channel ID
- Ensure your bot has these permissions:
channels:history- to read channel messagesreactions:read- to detect star reactionschat:write.public- to get message permalinks
Slack Bot Setup Resources:
3. Set up Notion database
- Create or use existing Notion database with required properties:
- Tags (Multi-select) - add tag options with descriptions for better AI accuracy
- Link (URL) - for storing Slack permalink
- Title (Title) - will be auto-populated by AI
- Update the databaseId in "Choose Notion DB" and "Create Notion Page" nodes
4. Customize the workflow
- Change trigger emoji: Edit the IF condition to use a different emoji (e.g.,
bookmark,pushpin) - Adjust timing: Modify the Schedule Trigger interval (remember to update the "oldest" filter in Get Slack Messages to match)
- Improve AI prompts: Edit the prompt in "Write Title & Tag" node for better categorization
5. Test the setup
- Star a message in your Slack channel
- Wait for the next 10-minute trigger or manually execute the workflow
- Check your Notion database for the new entry
Example output
Slack message: > "Hey team, just found this amazing tool for automating our design workflow. We should definitely consider it for next sprint: https://example.com/design-tool"
Generated Notion page:
- Title: "Design Tool Recommendation for Next Sprint"
- Tags: "Tools", "Design", "Sprint Planning"
- Content: Full message text with Slack permalink
- Link: Direct link back to original Slack message
Extending the flow
Multi-channel support - duplicate the "Get Slack Messages" node for different channels and merge the outputs.
Enhanced AI processing - modify the prompt to extract additional metadata like:
- Priority levels
- Action items
- Mentioned team members
- Due dates
Rich content preservation - add logic to handle Slack attachments, images, or threaded replies.
Notification system - add nodes to notify team members when important messages are archived.
Sentiment analysis - incorporate additional AI processing to categorize message sentiment or urgency.
This template provides a lean setup for intelligent Slack-to-Notion archiving. Star important messages, let AI handle the organization, and never lose track of valuable conversations again.
Starred Slack Messages to Notion Database with AI Auto-Tagging
This n8n workflow automates the process of saving starred Slack messages to a Notion database, automatically enriching them with AI-generated tags. It provides a seamless way to keep track of important Slack conversations and organize them intelligently in Notion.
What it does
- Triggers on a Schedule: The workflow runs periodically (e.g., every hour, daily) to check for new starred Slack messages.
- Fetches Starred Slack Messages: It connects to your Slack workspace and retrieves messages that have been starred by you.
- Filters for New Messages: It identifies only the messages that haven't been processed and added to Notion yet.
- Extracts Message Content: It extracts key details from each starred message, such as the message text, sender, channel, and a link to the message.
- Generates AI Tags: For each message, it uses an AI agent (powered by OpenAI) to analyze the message content and generate relevant tags or categories.
- Structures AI Output: The AI-generated tags are then parsed into a structured format for easy use.
- Adds to Notion Database: Finally, it creates a new page in your specified Notion database for each starred message, including the message content, link, and the AI-generated tags.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance (cloud or self-hosted).
- Slack Account: A Slack workspace and a Slack API token with the necessary permissions to read starred messages.
- Notion Account: A Notion workspace and a Notion API token with access to your target database.
- OpenAI API Key: An OpenAI API key for the AI Agent to generate tags.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Slack: Set up your Slack API credential.
- Notion: Set up your Notion API credential.
- OpenAI: Set up your OpenAI API credential.
- Configure Nodes:
- Schedule Trigger: Adjust the schedule to your preferred frequency (e.g., every 1 hour).
- Slack Node: Ensure it's configured to list starred messages.
- Notion Node: Specify the ID of your target Notion database where the starred messages will be added. Ensure the database has properties for "Message Content", "Link", "Channel", "Sender", and a multi-select or text property for "Tags".
- AI Agent Node: Review the prompt to ensure it generates tags in a format suitable for your Notion database.
- Structured Output Parser Node: Verify the schema matches the expected output from the AI Agent for tags.
- Activate the Workflow: Once configured, activate the workflow to start automating.
This workflow provides a robust solution for personal knowledge management, ensuring that valuable insights from your Slack conversations are not lost and are easily retrievable and organized in Notion.
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