Turn LinkedIn Insights into Content Ideas with Airtable & Scraper
Automates fetching recent liked LinkedIn posts via RapidAPI, filters them by recency, extracts key data, and saves to Airtable for content ideation and collaboration.
This n8n workflow transforms your LinkedIn interactions into actionable content ideas by scraping recent posts you've liked using the Real-Time LinkedIn Scraper API on RapidAPI. It fetches the latest data for a specified username, filters posts from the last 7 days based on your reactions, extracts essential details like post text, author, links, and more, then formats everything into a structured format compatible with Airtable.
Key benefits include building a centralized 'content idea vault' from admired posts, capturing inspiration from thought leaders, spotting trends in your interests, and streamlining personal branding or newsletter planning. It saves significant time by automating manual collection and organization, enabling quick access for brainstorming or team sharing.
Ideal use cases: Supercharge content marketing by turning likes into publishable ideas; track insights from influencers for trend analysis; collaborate with teams via Airtable for idea refinement. Prerequisites include a RapidAPI key for the linkedin-api8 endpoint, LinkedIn username, and an Airtable base with a 'Content Hub' base and 'Ideas' table. Setup is straightforward: configure the HTTP node with API credentials and link Airtable.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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