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

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

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

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PostgreSQL

Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the Google Ads and PostgreSQL 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 Ads and PostgreSQL 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.

JavaScript
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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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Google Ads
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Ads, PostgreSQL, 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 Ads and PostgreSQL integration works as expected. Depending on your setup, data should flow between Google Ads and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Ads and PostgreSQL
Google Ads + PostgreSQL + Slack: Monitors Google Ads campaigns for performance drops based on custom criteria. When a significant drop is detected using 'Search Campaigns' and comparing current data with historical data stored in PostgreSQL via 'Execute SQL Query', a notification is sent to a designated Slack channel using 'Send Public Channel Message' to alert the team.
Google Ads + PostgreSQL + Google Sheets: Tracks Google Ads spending by retrieving campaign data using 'Search Campaigns' and logging it into a PostgreSQL database using 'Insert Row'. Then, on a scheduled basis, the workflow uses 'Execute SQL Query' to fetch spending data from PostgreSQL and populate a Google Sheet with a daily report using 'Add Multiple Rows'.
Google Ads and PostgreSQL integration alternatives
About Google Ads
Use Google Ads in Latenode to automate campaign management and reporting. Pull ad performance data, adjust bids based on real-time events, or trigger alerts for budget changes. Combine with other apps to build custom marketing workflows. Latenode's flexibility avoids rigid, pre-built integrations and costly per-step pricing.
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About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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FAQ Google Ads and PostgreSQL
How can I connect my Google Ads account to PostgreSQL using Latenode?
To connect your Google Ads account to PostgreSQL on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Ads and click on "Connect".
- Authenticate your Google Ads and PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically back up Google Ads data to PostgreSQL?
Yes, you can! Latenode allows scheduled backups using its visual interface, safeguarding your campaign data. Plus, scale with JavaScript code and prompt-based AI.
What types of tasks can I perform by integrating Google Ads with PostgreSQL?
Integrating Google Ads with PostgreSQL allows you to perform various tasks, including:
- Storing Google Ads campaign performance data in PostgreSQL.
- Automating custom report generation based on ad data.
- Analyzing ad spend versus conversion rates using SQL queries.
- Updating Google Ads bids based on PostgreSQL data analysis.
- Creating custom dashboards with real-time performance metrics.
How do I automate custom Google Ads reports using Latenode?
Use Latenode's visual editor to schedule data extraction, transform it with JavaScript if needed, and store results in PostgreSQL for custom reporting.
Are there any limitations to the Google Ads and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the volume.
- Complex data transformations might require JavaScript coding.
- Rate limits of the Google Ads API still apply.