Create a Coda table entry and attach the current page as PDF using Dropbox, when I right-click
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How does this automation work?
Bardeen's automation playbook creates a Coda table entry and attaches the current page as a PDF via Dropbox with just a right-click. Ideal for product development and personal productivity, this workflow enables you to capture web content and store it efficiently for future reference. Whether you're conducting research, capturing data for a project, or collecting information to share with your team, this workflow simplifies the process by integrating webpage capture with your document and storage ecosystem.
Here's how this workflow operates:
- Step 1: Trigger with right-click - Initiate the workflow by right-clicking on the page you wish to capture. This is your entry point into the automation sequence.
- Step 2: Capture page as PDF - Automatically take a full-page screenshot and save it as a PDF file. This step prepares the file for uploading to your Dropbox folder.
- Step 3: Upload to Dropbox - The saved PDF is then uploaded to the specified Dropbox folder. Dropbox is a cloud storage service that allows you to access your files from anywhere.
- Step 4: Generate Dropbox link - Create a shareable Dropbox link to the PDF file. This link will be added to your Coda table, providing easy access to the document.
- Step 5: Create Coda table entry - Add a new entry to your Coda table with the Dropbox link. Coda is an all-in-one doc for teams that combines documents, spreadsheets, and apps.
- Step 6: Confirmation notification - A browser notification confirms that the Coda table entry has been created successfully.
How to run the playbook
Look for further integration options for Dropbox integrations, Coda integrations, or the integration of both Dropbox and Coda, or adapt the playbook to better suit your unique workflow needs.
Take a look at other product development integrations, and personal productivity automations developed by Bardeen.
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FAQs
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Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.