Connect Gallabox and Diffbot to Build Intelligent Automations
Choose a Trigger
When this happens...
New Contact
Update Contact
Choose an Action
Automatically do this!
Enhance
Ready to use Gallabox and Diffbot automations
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Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Contact
Triggers when a contact is created.
Update Contact
Triggers when a contact is updated.
Do thisActions
Action is the task that follows automatically within your Gallabox integrations.
Upsert Contact
Upsert a contact
Enhance
Enrich a organization record with partial data input (POST option).
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Frequently Asked Questions
To start, connect both your Gallabox and Diffbot accounts to viaSocket. Once connected, you can set up a workflow where an event in Gallabox triggers actions in Diffbot (or vice versa).
Absolutely. You can customize how Gallabox 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 Gallabox 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 Gallabox 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 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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