Twitter
OpenAI
Jira
Workflow Template

Create a Jira issue from a tweet using OpenAI

This Playbook will analyze data from a Tweet on the currently opened page and create a Jira issue with its contents using OpenAI
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Scrape data on active tab
Action
Merge text
Action
Merge text
Action
Generate text from model
Action
Get summary of a text by OpenAI
Action
Merge text
Action
Create Jira issue
Action

How does this automation work?

Bardeen's playbook leverages the power of OpenAI to turn social media interactions into actionable tasks within Jira. This workflow is particularly useful for customer support and product teams who want to track issues or feature requests mentioned on Twitter. By automating the creation of Jira issues from tweets, teams can ensure they capture valuable user feedback and prioritize it accordingly.

Here's how this workflow creates a Jira issue from a tweet:

  • Step 1: Scrape from Twitter - The Scraper tool is used to extract the content of a tweet from the currently active tab in your browser, utilizing the specialized Twitter tweet scraper template.
  • Step 2: Create Jira issue title - Bardeen then merges the text scraped from the tweet to form the title of the Jira issue.
  • Step 3: Prepare Jira issue description - The description for the Jira issue is generated, using OpenAI to ensure it is concise and to the point.
  • Step 4: Generate text with OpenAI - OpenAI is used to create a custom prompt that will help in drafting a detailed issue description.
  • Step 5: Summarize text with OpenAI - OpenAI provides a summary of the tweet content, tailored for business relevance, to be included in the Jira issue.
  • Step 6: Create Jira issue - The final step is the creation of a new Jira issue with the title and description prepared from the tweet's data.
Run this Jira automation with Bardeen in minutes.

How to run the workflow

If you need to save specific tweets for reporting or analysis, doing it manually is always time-consuming. This is where web scraping can help automate the process. 

With this automation, you can extract data from tweets automatically, freeing up your time to focus on more critical tasks. It will retrieve the currently opened tweet and its thread text, analyze the issue using OpenAI, and generate a HubSpot ticket with all the relevant information, including the issue's title, summary, and a link to the tweet. This will save you time that would otherwise be spent capturing the relevant information manually and prevent the need for tedious copying and pasting.

Let’s set it up!

Step 1: Pin the playbook and integrate HubSpot

First, 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 HubSpot

Click on the playbook card, and the setup flow will start. Bardeen will prompt you to specify a Ticket pipeline, Ticket stage and Ticket priority. Fill these out based on the tweet you want to create.

Click on “Save Input” and checkmark HubSpot. This will save you more time in the future.  You can edit Inputs later by hovering over the playbook. 

Step 2: Run the playbook

Press Option + B on Mac or Alt + B on a Window machine on your keyboard to launch Bardeen.

Run the playbook for a tweet that you want to create a ticket for.

It will analyze the text using OpenAI, generate a suitable ticket headline and summary and create the support ticket with all the information.

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

Find more HubSpot integrations, OpenAI integrations or Twitter integrations.  You can also explore OpenAI and Twitter integrations, or HubSpot and Twitter integrations.

You can also find more about how to increase your personal productivity and automate your product development process.

Run this Jira automation with Bardeen in minutes.

Available actions & triggers

Apps:
Create a Jira issue from a tweet using OpenAI
Create a Jira issue from a tweet using OpenAI
Create a Jira issue from a tweet using OpenAI
Types:
Both
Actions
Triggers
Generate essay from prompt
Generate essay from prompt
Action
Create question generated by OpenAI
Create question generated by OpenAI
Action
Generate code
Generate code
Action
Find Tweets
Find Tweets
Action
Generate song from text
Generate song from text
Action
Get text corrected by OpenAI (English)
Get text corrected by OpenAI (English)
Action
Generate email from prompt
Generate email from prompt
Action
Analyze sentiment
Analyze sentiment
Action
Generate example schedule
Generate example schedule
Action
Get summary of a text by OpenAI
Get summary of a text by OpenAI
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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