How to connect Google Cloud BigQuery and Facebook Pages
Create a New Scenario to Connect Google Cloud BigQuery and Facebook Pages
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Facebook Pages will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Facebook Pages, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Facebook Pages Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Facebook Pages from the list of available apps, and choose the action you need from the list of nodes within Facebook Pages.

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Authenticate Facebook Pages
Now, click the Facebook Pages node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Facebook Pages settings. Authentication allows you to use Facebook Pages through Latenode.
Configure the Google Cloud BigQuery and Facebook Pages Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery and Facebook Pages Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Facebook Pages, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery and Facebook Pages integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Facebook Pages (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and Facebook Pages
Facebook Pages + Google Sheets: When a new post is added to a Facebook Page, this automation will add a row to a Google Sheet to track post performance metrics.
Facebook Pages + Google Sheets + Slack: When a new post is added to a Facebook Page, information is added to a Google Sheet, and a Slack notification is sent.
Google Cloud BigQuery and Facebook Pages integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Facebook Pages
Automate Facebook Page management within Latenode workflows. Automatically post content, track engagement, and respond to comments using no-code tools. Integrate with other apps to build social media automation pipelines. Unlike standalone tools, Latenode lets you customize flows with JavaScript and scale easily, paying only for execution time.
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FAQ Google Cloud BigQuery and Facebook Pages
How can I connect my Google Cloud BigQuery account to Facebook Pages using Latenode?
To connect your Google Cloud BigQuery account to Facebook Pages on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Facebook Pages accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Facebook ads performance using BigQuery?
Yes, you can! Latenode simplifies data transfer, letting you analyze Facebook Pages ad data within Google Cloud BigQuery. Unlock insights and optimize campaigns with ease.
What types of tasks can I perform by integrating Google Cloud BigQuery with Facebook Pages?
Integrating Google Cloud BigQuery with Facebook Pages allows you to perform various tasks, including:
- Automating data backups from Facebook Pages to Google Cloud BigQuery.
- Creating custom dashboards to visualize Facebook Pages performance data.
- Building machine learning models to predict future Facebook Pages engagement.
- Triggering Facebook Pages posts based on data changes in Google Cloud BigQuery.
- Combining Facebook Pages data with other data sources in Google Cloud BigQuery.
What BigQuery data formats are supported on Latenode?
Latenode supports various BigQuery data formats, handling structured and semi-structured data with transformations made easy using JavaScript.
Are there any limitations to the Google Cloud BigQuery and Facebook Pages integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Facebook Pages API may affect data retrieval frequency.
- Complex data transformations might require advanced JavaScript knowledge.
- Historical data retrieval from Facebook Pages may be subject to API restrictions.