Get a summary of a LinkedIn post and save it to Airtable
This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.
How does this automation work?
Bardeen's workflow automation tool enables professionals to capture the essence of LinkedIn posts and store them efficiently in Airtable. This function is particularly valuable for content researchers, social media managers, and marketing teams looking to track competitors, industry trends, or curate content for future reference. By automating the process of summarizing and storing LinkedIn posts, Bardeen assists in keeping your research organized and easily accessible.
Here's how this workflow processes a LinkedIn post and saves a summary to Airtable:
- Step 1: Scrape LinkedIn Post - The Scraper is utilized to extract the contents of a LinkedIn post while you're viewing it on your browser. It uses a custom Bardeen scraper template designed specifically for LinkedIn posts.
- Step 2: Summarize Text with OpenAI - Bardeen then sends the scraped text to OpenAI to get a concise summary. This step leverages the power of AI to distill the key points from the post, providing you with a digestible overview.
- Step 3: Save Summary to Airtable - Finally, the summary is added to a specified Airtable base and table. Airtable acts as a powerful database to manage and organize the post summaries, which can be used for reporting, content planning, or archival purposes.
How to run the playbook
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FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment
Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.