Twitter
OpenAI
Google Sheets
playbook Template

Get AI-ranked tweets from account based on criteria

This playbook will use OpenAI to find tweets from a specified account that match a given criteria and rank them. The results will be added to a Google Sheet.

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?

Scrape data on active tab
Action
Rank items from criteria
Action
Get current time
Action
Convert date / time to text
Action
Create Google Sheet
Action
Add data to sheet tab
Action
Get current time
Action
Convert date / time to text
Action
Create Google Sheet
Action
Add data to sheet tab
Action

Bardeen's Playbook "Get AI-ranked tweets from account based on criteria" is designed to help marketing professionals and researchers source data-driven insights from social media. By automating the process of collecting and analyzing tweets, users can efficiently gather information that aligns with specific criteria, aiding in market research, content curation, and competitive analysis. Here's how this playbook leverages AI to curate and rank tweets:

  • Step 1: Scrape Tweets - Bardeen's Scraper command is used to extract data from the Twitter account currently opened in your browser tab. You can specify the maximum number of posts to scrape, ensuring the data set is as broad or as focused as needed for your analysis.
  • Step 2: Rank Tweets with AI - The extracted tweets are then ranked based on criteria you define. This step utilizes OpenAI's advanced algorithms to evaluate and rank the relevance and importance of each tweet according to your specified metrics.
  • Step 3: Timestamp Creation - Bardeen captures the current time, which will be used to timestamp the results, providing context for when the data was curated.
  • Step 4: Format Timestamp - The current time is formatted into a text string for easy reading and documentation purposes.
  • Step 5: Prepare Spreadsheet Title - A descriptive title for the Google Sheet is generated by merging the text "Ranked Tweets" with the timestamp, creating a unique and identifiable document name.
  • Step 6: Create Google Sheet - A new Google Sheet is created with the title prepared in the previous step, where the ranked data will be stored.
  • Step 7: Populate Google Sheet - The AI-ranked tweets are added to the newly created Google Sheet, providing you with a spreadsheet filled with valuable, AI-curated content.
Run this Google Sheets automation with Bardeen in minutes.

How to run the playbook

OpenAI's API is constantly improving, and one of the newest and most interesting features is the ability to get recommendations for tweets from a specified account. This is useful if you want to track an account but don't have the time to go through all of their tweets. This automation will use OpenAI to find tweets from a specified account that match a given criteria and rank them. The results will be added to a Google Sheet.

Let's set it up!

Step 1: Pin the playbook and integrate Google Sheets

To get started, click the 'Pin it' button at the top of this page to save this automation. You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Google Sheets.

Next, you'll need to specify the Twitter account to search, the criteria to match(like funniest, longest, etc.), the topic of the tweets you want to extract, the sheet to add the results to, and the range of tweets to search.

Once you've configured the automation, you can run it by clicking on the playbook card. The tweets will be added to the Google Sheet that you specified, and you can view them there.

Locate more integration alternatives for OpenAI integrations, Google Sheet integrations, and Twitter integrations, or edit the playbook to better suit your individualized workflow preferences.

Also, find additional integration choices for the integration of both OpenAI and Google Sheets, integration of both OpenAI and Twitter, or connecting both Twitter and Google Sheets.

Discover more about the awesome personal productivity automations and marketing integrations available.

Run this Google Sheets automation with Bardeen in minutes.

Available actions & triggers

Apps:
Get AI-ranked tweets from account based on criteria
Get AI-ranked tweets from account based on criteria
Get AI-ranked tweets from account based on criteria
Types:
Both
Actions
Triggers
Find Tweets
Find Tweets
Action
Get table from Google Sheet
Get table from Google Sheet
Action
Find Twitter followings
Find Twitter followings
Action
Generate recruiting email
Generate recruiting email
Action
Generate question answer
Generate question answer
Action
Find Twitter followers
Find Twitter followers
Action
Update or add rows in/to sheet
Update or add rows in/to sheet
Action
Create Tweet
Create Tweet
Action
Correct grammar in text
Correct grammar in text
Action
Extract table from text
Extract table from text
Action
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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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