Get a summary of a LinkedIn post and save it to Coda
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 automates the process of aggregating information from LinkedIn posts into a Coda table for efficient data sourcing and research. Whether you're a recruiter looking to track job postings or a marketer analyzing competitor updates, this workflow reduces the manual effort of content summarization and data entry. It scrapes LinkedIn posts, summarizes their content using advanced AI, and then stores the information neatly in Coda, your all-in-one doc for tables, words, and teams.
Here's how this workflow captures LinkedIn post summaries and saves them to Coda:
- Step 1: Scrape LinkedIn Post - Bardeen's Scraper is used to extract the content of a LinkedIn job post directly from the active browser tab. The 'LinkedIn Post Scraper' template specifically designed by Bardeen ensures precise data extraction.
- Step 2: Summarize Post with OpenAI - The extracted content is then succinctly summarized using OpenAI's advanced text summarization capabilities. The context given to the OpenAI model is that the text is a LinkedIn post, ensuring a relevant summary.
- Step 3: Save Summary to Coda - Finally, the summarized content is saved to a specified Coda document and table. You will need to provide the Coda document and table where you want the data to be stored.
How to run the playbook
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FAQs
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