Connect DragApp and Diffbot to Build Intelligent Automations
Choose a Trigger
When this happens...
New Task Cards
Choose an Action
Automatically do this!
Enhance
Ready to use DragApp and Diffbot automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Task Cards
Retrieves task cards created in the selected board column within the specified time window.
Do thisActions
Action is the task that follows automatically within your DragApp integrations.
Create Card
Add a new card to a Drag board using title and column; optionally include note, comment, tag, assignee, and subtasks.
Add Card Comment
Add a comment to the card (found by title) in the selected board and column.
Enhance
Enrich a organization record with partial data input (POST option).
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Frequently Asked Questions
To start, connect both your DragApp and Diffbot accounts to viaSocket. Once connected, you can set up a workflow where an event in DragApp triggers actions in Diffbot (or vice versa).
Absolutely. You can customize how DragApp data is recorded in Diffbot. This includes choosing which data fields go into which fields of Diffbot, setting up custom formats, and filtering out unwanted information.
The data sync between DragApp and Diffbot typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between DragApp and Diffbot. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About DragApp
Drag turns Gmail into a Team Workspace to manage Helpdesk, CRM, tasks and other workflows from your inbox. Built for Google Workspace users.
Learn MoreAbout Diffbot
Diffbot is a powerful AI-driven data extraction and analysis platform that automates the process of gathering and structuring web data. It uses machine learning and computer vision to transform web pages into structured data, making it easier for businesses to access and utilize information from the web.
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