Connect Google Cloud Pub/Sub and Seltz to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Cloud Pub/Sub
Choose an Action
Automatically do this!
Search Seltz Content
Enable Integrations or automations with these events of Google Cloud Pub/Sub and Seltz
Enable Integrations or automations with these events of Google Cloud Pub/Sub and Seltz
Actions
Create PubSub Topic
Create a Pub/Sub topic to receive and route messages.
List Pub/Sub Topics
List all Pub/Sub topics
List Project Subscriptions
Retrieve project subscriptions
Search Seltz Content
Find Seltz content by query
Trigger an AI plugin action from a webhook and return the result
Automate Social Media Content Creation and Scheduling (Instagram, YouTube, X, LinkedIn)
Automate Instagram Comment Replies + Smart DMs for Keywords
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Frequently Asked Questions
To start, connect both your Google Cloud Pub/Sub and Seltz accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Cloud Pub/Sub triggers actions in Seltz (or vice versa).
Absolutely. You can customize how Google Cloud Pub/Sub data is recorded in Seltz. This includes choosing which data fields go into which fields of Seltz, setting up custom formats, and filtering out unwanted information.
The data sync between Google Cloud Pub/Sub and Seltz 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 Google Cloud Pub/Sub and Seltz. 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 Google Cloud Pub/Sub
Google Cloud Pub/Sub is a messaging service that allows you to send and receive messages between independent applications. It enables real-time messaging and event-driven architectures, making it ideal for building scalable and reliable systems.
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