
When this happens...
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers whenever a selected actor is run and finished.
Triggers whenever a selected task is run and finished.
Action is the task that follows automatically within your Google Bigquery integrations.
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query and return results.
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Adds one or more rows to a BigQuery table.
Change specific fields for rows in a BigQuery table that match the rules you provide.
Creates a new, empty table in a BigQuery dataset.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Google Bigquery and Apify accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Apify (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Apify. This includes choosing which data fields go into which fields of Apify, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Apify 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 Bigquery and Apify. 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.
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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