Integrate Google Bigquery with Webshipper to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Insert Rows into Google BigQuery when Shipment Updated in Webshipper
Insert Rows into Google BigQuery when Report Created on Webshipper
List BigQuery Projects in Google BigQuery when Return Deleted from Webshipper
Run SQL Query in Google BigQuery when Shipment Updated in Webshipper
Insert Rows into Google BigQuery when Return Created from Webshipper
Start from a real workflow other teams are already running.
Google Bigquery
When this happens...
Webshipper
Automatically do this!
Create a User
Update an User
Delete a User
Insert Rows into Google BigQuery when Shipment Updated in Webshipper
Use this flowInsert Rows into Google BigQuery when Report Created on Webshipper
Use this flowList BigQuery Projects in Google BigQuery when Return Deleted from Webshipper
Use this flowRun SQL Query in Google BigQuery when Shipment Updated in Webshipper
Use this flowInsert Rows into Google BigQuery when Return Created from Webshipper
Use this flowDelete Rows from Google BigQuery when Shipment Created in Webshipper
Use this flowUpdate Rows in Google BigQuery when New Order in Webshipper
Use this flowList BigQuery Projects in Google BigQuery when Report Deleted in Webshipper
Use this flowList Datasets in Project in Google BigQuery when New Order in Webshipper
Use this flowCreate Table in Google BigQuery when Order Deleted in Webshipper
Use this flowEverything you can automate between Google Bigquery and Webshipper.
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger's when an order is created.
Trigger's when an order is updated.
Trigger's when an order is deleted.
Trigger's when a new shipment is created.
Trigger's when a shipment is updated.
Trigger's when a shipment was deleted.
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 on Google BigQuery and return the results.
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.
Lists the BigQuery projects you have access to.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreWebshipper is a shipping platform for all your shipping needs. Webshipper can help you automate and optimize your shipping flow.
Learn moreSign up for a free viaSocket account, then authorize both your Google Bigquery and Webshipper accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Google Bigquery and Webshipper as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Webshipper. No coding required.
Yes. You can set up a workflow where Google Bigquery triggers actions in Webshipper, and a separate workflow where Webshipper triggers actions in Google Bigquery. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Google Bigquery and Webshipper. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Google Bigquery and Webshipper integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.