How to connect Facebook Pages and Google Cloud BigQuery
Create a New Scenario to Connect Facebook Pages and Google Cloud BigQuery
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 Facebook Pages, triggered by another scenario, or executed manually (for testing purposes). In most cases, Facebook Pages or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Facebook Pages or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

Add the Facebook Pages Node
Select the Facebook Pages node from the app selection panel on the right.

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

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Facebook Pages and Google Cloud BigQuery 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 Facebook Pages and Google Cloud BigQuery 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 Facebook Pages, Google Cloud BigQuery, 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 Facebook Pages and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Facebook Pages and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Facebook Pages and Google Cloud BigQuery
Facebook Pages + Google Sheets: When a new post is added to a Facebook Page, its details (content, likes, shares, comments) are extracted and added as a new row in a Google Sheet for performance tracking and analysis.
Google Sheets + Facebook Pages + Slack: When a new row is added to a Google Sheet (presumably containing topic ideas), a corresponding post is automatically created on a specified Facebook Page, and a notification is sent to a designated Slack channel to inform the marketing team.
Facebook Pages and Google Cloud BigQuery integration alternatives
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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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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See how Latenode works
FAQ Facebook Pages and Google Cloud BigQuery
How can I connect my Facebook Pages account to Google Cloud BigQuery using Latenode?
To connect your Facebook Pages account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Facebook Pages and click on "Connect".
- Authenticate your Facebook Pages and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Facebook post engagement in BigQuery?
Yes, you can! Latenode simplifies data transfer, letting you analyze Facebook post data in BigQuery for enhanced insights. Scale effortlessly as your data grows.
What types of tasks can I perform by integrating Facebook Pages with Google Cloud BigQuery?
Integrating Facebook Pages with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically backing up Facebook Pages data to BigQuery for disaster recovery.
- Creating custom dashboards in BigQuery using Facebook Pages engagement metrics.
- Analyzing trends in Facebook Pages comments to improve customer service.
- Enriching BigQuery data with Facebook Pages audience demographics for better targeting.
- Triggering alerts based on Facebook Pages activity using BigQuery data analysis.
HowdoIautomatetheextractionofFacebookPagesdatausingLatenode?
Latenode offers a no-code interface and JavaScript support. Schedule data extractions and transform data before sending it to BigQuery.
Are there any limitations to the Facebook Pages and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- API rate limits from Facebook Pages may affect the frequency of data extraction.
- Complex data transformations may require JavaScript knowledge.
- Initial setup requires understanding of BigQuery datasets and tables.