LinkedIn to Airtable
This workflow automatically captures insightful posts that users have liked on LinkedIn within the last 7 days, structuring them into titles, descriptions, and source links, and saving them to an Airtable database. Triggered on a schedule, the entire process runs fully automatically, helping content creators and social media managers efficiently organize and store high-quality content, enhance management efficiency, avoid omissions, and facilitate subsequent inspiration collection and content creation.
Workflow Name
LinkedIn to Airtable
Key Features and Highlights
This workflow automatically captures the "insightful" posts you have liked on LinkedIn, focusing specifically on content from the past 7 days. It structures these valuable posts into a title, description, and source link, then automatically saves them into an Airtable database. The process runs fully automatically on a scheduled trigger, requiring no manual intervention.
Core Problem Addressed
Content creators and social media managers often encounter high-quality and inspiring posts on LinkedIn but struggle to efficiently organize and save them for future content creation or idea collection. This workflow helps users automatically filter and structure these valuable posts, preventing omissions and improving content management efficiency.
Use Cases
- Content creators collecting inspiration and materials
- Social media operators tracking industry trends and trending content
- Marketing teams aggregating user feedback and engagement highlights
- Any scenario requiring structured storage of LinkedIn interaction data for subsequent analysis and utilization
Main Workflow Steps
- Scheduled Trigger: Automatically initiates the workflow based on a preset time interval.
- Fetch LinkedIn Likes: Retrieves liked post data from a specified LinkedIn account via the RapidAPI interface.
- Split Liked Posts: Breaks down the fetched list of posts into individual records for processing.
- Filter Insightful & Recent Posts: Filters posts where the action type includes "insightful" and the post date is within the last 7 days.
- Format Content Idea: Generates standardized fields including title, description, and source link for each post.
- Prepare for Airtable: Extracts the relevant fields and prepares the data for Airtable insertion.
- Save to Airtable: Saves the organized content into a specified Airtable base and table for management and future use.
Systems and Services Involved
- LinkedIn (data accessed via RapidAPI third-party interface)
- Airtable (used as the content storage and management platform)
- n8n (workflow automation platform orchestrating and executing the entire process)
Target Users and Value Proposition
- Content creators seeking to automatically gather high-quality industry insights
- Social media managers needing efficient interaction data management
- Marketing and brand teams aiming to enhance content planning efficiency
- Professionals or teams wanting to automatically archive and structurally manage LinkedIn interaction data
By leveraging this workflow, users can eliminate the tedious manual process of organizing liked content, effortlessly build their own inspiration library, and support precise content production and efficient work management.