Linkedin to Airtable

For LinkedIn, automatically transform your recent insightful post reactions into structured content ideas saved in Airtable. This workflow fetches your last 7 days of *"insightful"* likes, filters relevant posts, and organizes them into titles, descriptions, and source URLs, streamlining your content inspiration process.

7/8/2025
10 nodes
Medium
1ir8rlf2nlfdk8iyky9rlushnq9tijvuschedulemediumschedule triggersplitoutfilterairtablesticky noteautomationcronapiintegration
Categories:
Schedule TriggeredData Processing & AnalysisMedium Workflow
Integrations:
Schedule TriggerSplitOutFilterAirtableSticky Note

Target Audience

Target Audience


- Content Creators: Individuals looking to generate content ideas based on their interactions on LinkedIn.
- Marketers: Professionals seeking to leverage social media insights for campaign strategies.
- Social Media Managers: Those managing LinkedIn accounts who want to automate content collection from their likes.
- Business Professionals: Anyone who wants to keep track of insightful content they engage with on LinkedIn for future reference.

Problem Solved

Problem Solved


This workflow addresses the challenge of manually tracking and organizing insightful posts liked on LinkedIn. It automates the process of fetching recent insightful likes, filtering for relevant content, and systematically storing it in Airtable for easy access and future inspiration.

Workflow Steps

Workflow Steps


1. Scheduled Trigger: The workflow initiates at a predefined interval, automating the process without manual intervention.
2. Fetch LinkedIn Likes: It retrieves the most recent likes from the user's LinkedIn profile through an API call, ensuring access to the latest content.
3. Split Liked Posts: The data is split into individual posts for detailed processing.
4. Filter Insightful & Recent: Only posts marked as insightful and liked within the last 7 days are selected, ensuring relevance and timeliness.
5. Format Content Idea: Each selected post is structured into a clear format, including a title, description, and source URL.
6. Prepare for Airtable: The formatted content is organized for seamless integration into Airtable.
7. Save to Airtable: The structured information is saved into a designated Airtable base, allowing for easy retrieval and management of content ideas.

Customization Guide

Customization Guide


- LinkedIn Credentials: Users should input their own LinkedIn username and RapidAPI key in the Fetch LinkedIn Likes node to ensure proper access to their data.
- Airtable Configuration: In the Save to Airtable node, users can modify the Airtable base and table settings to fit their organizational needs.
- Schedule Adjustments: The Schedule Trigger node can be customized to run at different intervals (daily, weekly, etc.) based on user preferences.
- Content Filtering: Users can adjust the filtering criteria in the Filter Insightful & Recent node to include or exclude different types of posts, tailoring the workflow to their specific content interests.