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

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

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

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Pipedrive

Authenticate Pipedrive
Now, click the Pipedrive node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Pipedrive settings. Authentication allows you to use Pipedrive through Latenode.
Configure the Google Cloud BigQuery (REST) and Pipedrive 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 (REST) and Pipedrive 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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AI Anthropic Claude 3
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Pipedrive
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Pipedrive, 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 (REST) and Pipedrive integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Pipedrive (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 (REST) and Pipedrive
Google Cloud BigQuery (REST) + Pipedrive + Google Sheets: Analyze sales data from BigQuery using a REST query, enrich the data with relevant information from Pipedrive based on deal or person IDs found in the BigQuery data, and then present the combined and enriched data in a Google Sheets spreadsheet for reporting and visualization.
Pipedrive + Google Cloud BigQuery (REST) + Slack: When a deal is updated in Pipedrive, the updated deal data is stored in BigQuery for historical analysis. A Slack message is then sent to a specified channel to alert the sales team about the key pipeline changes.
Google Cloud BigQuery (REST) and Pipedrive integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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About Pipedrive
Sync Pipedrive with Latenode to automate sales workflows. Update deals, create activities, or trigger personalized emails based on deal stages. Use Latenode's visual editor and JavaScript node to build custom lead qualification and routing logic. Scale your sales automation without complex code or per-step pricing limits.
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FAQ Google Cloud BigQuery (REST) and Pipedrive
How can I connect my Google Cloud BigQuery (REST) account to Pipedrive using Latenode?
To connect your Google Cloud BigQuery (REST) account to Pipedrive on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Pipedrive accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Pipedrive sales data in BigQuery?
Yes, you can! Latenode enables seamless data transfer. Analyze Pipedrive data in BigQuery to gain deeper insights and optimize sales strategies with comprehensive reporting.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Pipedrive?
Integrating Google Cloud BigQuery (REST) with Pipedrive allows you to perform various tasks, including:
- Automatically back up Pipedrive data to Google Cloud BigQuery (REST).
- Enrich Pipedrive leads with data from Google Cloud BigQuery (REST) datasets.
- Create custom sales performance dashboards using aggregated data.
- Trigger Pipedrive actions based on Google Cloud BigQuery (REST) data analysis.
- Synchronize contact information between both platforms in real-time.
Can I transform data before loading it into Google Cloud BigQuery (REST)?
Yes, Latenode's data transformation blocks allow you to clean, format, and reshape data before it is loaded, ensuring data quality.
Are there any limitations to the Google Cloud BigQuery (REST) and Pipedrive integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization can take time depending on data volume.
- Complex data transformations might require JavaScript coding.
- API rate limits of both Google Cloud BigQuery (REST) and Pipedrive apply.