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!
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.
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.
This playbook saves me hours when I’m sending out emails. It usually takes me 20 minutes to get the data and format it into an email. This playbook will help me go from my LinkedIn account to drafted email in 5 minutes!
This playbook saves me 60-90 minutes that I'd spend copy-pasting 20 new jobs details from LinkedIn daily - now it only takes me 5 minutes. Gamechanger!