Google Cloud BigQuery and Recruitee Integration

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Analyze Recruitee hiring data in Google Cloud BigQuery to optimize recruitment strategies. Latenode’s visual editor and flexible JavaScript nodes make custom reporting easy, and our execution-based pricing keeps costs low as you scale.

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Google Cloud BigQuery

Recruitee

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Recruitee

Create a New Scenario to Connect Google Cloud BigQuery and Recruitee

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 Recruitee will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Recruitee, 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.

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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.

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Add the Recruitee Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select Recruitee from the list of available apps, and choose the action you need from the list of nodes within Recruitee.

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Authenticate Recruitee

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

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Configure the Google Cloud BigQuery and Recruitee Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the Google Cloud BigQuery and Recruitee 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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Save and Activate the Scenario

After configuring Google Cloud BigQuery, Recruitee, 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 Recruitee integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Recruitee (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 Recruitee

Recruitee + Slack: When a new candidate is added to Recruitee, a notification is sent to a specified Slack channel to alert the recruiting team.

Recruitee + Google Cloud BigQuery + Google Sheets: Analyze new candidate data from Recruitee in BigQuery, then log key metrics, such as the number of applications, interview conversion rate and time to hire, in Google Sheets.

Google Cloud BigQuery and Recruitee 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.

About Recruitee

Automate your hiring process with Recruitee in Latenode. Trigger workflows on new applications to screen candidates, send automated messages, and update other systems. Connect Recruitee to HR tools for seamless data flow and custom talent pipelines. Simplify recruiting tasks using Latenode's visual editor and scaling options.

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FAQ Google Cloud BigQuery and Recruitee

How can I connect my Google Cloud BigQuery account to Recruitee using Latenode?

To connect your Google Cloud BigQuery account to Recruitee 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 Recruitee accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze candidate data in BigQuery?

Yes, with Latenode! Automatically sync Recruitee data to BigQuery for advanced reporting. Get deeper insights into your hiring pipeline and improve decision-making efficiency.

What types of tasks can I perform by integrating Google Cloud BigQuery with Recruitee?

Integrating Google Cloud BigQuery with Recruitee allows you to perform various tasks, including:

  • Automatically backing up Recruitee candidate data to Google Cloud BigQuery.
  • Creating custom recruitment dashboards based on BigQuery data.
  • Analyzing the performance of job postings using combined data.
  • Building machine learning models to predict candidate success.
  • Generating reports on recruitment trends across different periods.

What Google Cloud BigQuery data can Latenode access?

Latenode accesses datasets and tables you authorize, enabling secure data extraction for workflows and automated data analysis tasks.

Are there any limitations to the Google Cloud BigQuery and Recruitee integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Initial data sync may take time depending on dataset sizes.
  • Complex transformations might require JavaScript coding.
  • Data access depends on your Google Cloud BigQuery permissions.

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