LinkedIn
OpenAI
Coda
playbook Template

Save LinkedIn post summaries from search to Coda

This playbook will extract a specified number of LinkedIn posts from the currently opened LinkedIn post search page, summarize each in 3-5 sentences, and add the summaries, along with comments, reactions, and repost data, to a Coda table.

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.

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How does this automation work?

Scrape data on active tab
Action
Get summary of a text by OpenAI
Action
Add data to Coda table
Action

Bardeen's workflow for LinkedIn content curation allows professionals to extract valuable insights from LinkedIn posts and organize them in a Coda table effortlessly. Whether for research, sales prospecting, or content strategy, this playbook simplifies the process of gathering and summarizing information from LinkedIn. The workflow is designed to help users leverage the wealth of data on LinkedIn by summarizing posts, tracking engagement metrics, and centralizing this information for easy access and analysis.

Here's how the workflow captures LinkedIn post summaries and saves them to Coda:

  • Step 1: Scrape LinkedIn posts - The Scraper is configured to extract data from your active LinkedIn post search tab. Specify the maximum number of posts to scrape to tailor the amount of content you need.
  • Step 2: Summarize posts with OpenAI - Bardeen leverages OpenAI's summarization capabilities to condense LinkedIn posts into 3-5 sentence summaries, providing a concise overview of the content.
  • Step 3: Save summaries to Coda - The summarized data, including comments, reactions, and repost information, is then added to your specified Coda document and table for organization and future reference.
Run this Coda automation with Bardeen in minutes.

How to run the playbook

Discover a streamlined approach to managing your LinkedIn posts with this automation. Simplify your data handling and stay on top of the latest discussions without the manual effort.

This automation effortlessly extracts a specified number of LinkedIn posts from your search page, saving you valuable time and energy. It then condenses each post into a concise 3-5 sentence summary, providing you with the crucial insights you need.

Rest assured, engagement data won't slip through the cracks. This automation captures comments, reactions, and repost data, ensuring you have a comprehensive view of each post's impact.

Whether you're a marketer analyzing trends or a content curator seeking valuable content, this automation is your go-to solution. Elevate your LinkedIn game and make data management a breeze!

Let’s set it up!

Please be aware that the excessive or abusive use of extensions, bots, or automation tools on some websites can lead to penalties, including temporary or even permanent restrictions on your account. We recommend you read and adhere to the specific terms of the websites you are visiting and using to avoid any disruptions or issues. We do not assume any responsibility for the consequences of abuse.

Step 1: Create a Coda table

The first step is to create a Coda table with all the information from the LinkedIn posts you would like to save.

Bardeen will extract information from the currently opened LinkedIn post search results page like name, summary, date, comments, reactions, reposts, and profile link. It will then save all this information to your Coda table once your setup is complete. 

Step 2: Install the extension and map the information to Coda

You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Coda to save the LinkedIn post information.

Click the “Pin it” button at the top of this page to get this automation saved to your Playbooks.

Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and click on the playbook card. The setup flow will start. 

You will be asked to specify a Coda table, and the maximum number of posts you would like to extract and summarize. After you choose the database and post number, you will get a prompt to map the information to the fields in Coda.

The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Coda that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!

Click on “Save Input” and checkmark Coda. You can edit Inputs later by hovering over the playbook. 

Step 3: Run the playbook and save LinkedIn post summaries from search to Coda

Whenever you want to save LinkedIn posts and get summaries of each post, navigate to the LinkedIn post search results page.

Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and run this playbook. It will extract all the repost, comments and reaction information as well as summaries from each post and save the information to the Coda table that you specified in Step #1.

This automation is fantastic for businesses. It can be a game-changer in conducting market research and competitor analysis. By extracting and summarizing relevant LinkedIn posts, companies can quickly gather insights into industry trends, customer preferences, and competitor strategies. This data can then be used to make informed decisions and stay ahead in the market.

Social media managers and content creators can also use this automation to curate high-quality content for their LinkedIn profiles or company pages. By summarizing the most engaging and informative posts, they can share valuable insights with their audience, increasing engagement and building a strong online presence.

Individuals who want to stay informed and continuously learn about their areas of interest can benefit from this automation. It saves them the time and effort of manually browsing through numerous posts and helps them focus on the most relevant and informative content. Whether it's industry news, expert opinions, or thought-provoking discussions, this automation ensures that users never miss out on valuable knowledge from the LinkedIn community.

You can also edit the playbook and add your next action to further customize the automation.

Find more LinkedIn and Coda integrations.

You can also find more about how to increase your personal productivity and automate your data sourcing and research process.

Run this Coda automation with Bardeen in minutes.

Available actions & triggers

Apps:
Save LinkedIn post summaries from search to Coda
Save LinkedIn post summaries from search to Coda
Save LinkedIn post summaries from search to Coda
Types:
Both
Actions
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Action
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Get answers about a paragraph from OpenAI
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Generate email from prompt
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Action
Delete rows in Coda document
Delete rows in Coda document
Action
Extract tasks from description
Extract tasks from description
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Get text corrected by OpenAI (German)
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List action items
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FAQs

Bardeen - Playbook / Autobooks: Is it possible to create a Playbook that scrapes data from a website and sends it as an email attachment?

You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.

Youtube: Can I download a Youtube video to my computer using Bardeen?

Unfortunately, Bardeen is not able to download videos to your computer.

Google Sheets: What is the best way to export data to Google Sheets?

Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.

Meetings: Is there a playbook to record and summarize meetings?

There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment

Playbooks/Autobooks: How do I edit an action in a Playbook or Autobook?

Please follow the following steps to edit an action in a Playbook or Autobook.

Scraper: How can I get data from multiple sections of a profile (Eg: getting the experience section on a linkedin profile)?

Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.

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