Chatwork and Google Cloud BigQuery (REST) Integration

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Log Chatwork messages to Google Cloud BigQuery (REST) for analysis. Latenode's visual editor simplifies the data pipeline, while affordable execution-based pricing lets you scale insights without cost concerns.

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Chatwork

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Chatwork and Google Cloud BigQuery (REST)

Create a New Scenario to Connect Chatwork and Google Cloud BigQuery (REST)

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

Add the Chatwork Node

Select the Chatwork node from the app selection panel on the right.

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Configure the Chatwork

Click on the Chatwork node to configure it. You can modify the Chatwork URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Google Cloud BigQuery (REST) Node

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

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Authenticate Google Cloud BigQuery (REST)

Now, click the Google Cloud BigQuery (REST) 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 (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.

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Configure the Chatwork and Google Cloud BigQuery (REST) 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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Run node once

Set Up the Chatwork and Google Cloud BigQuery (REST) 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 Chatwork, Google Cloud BigQuery (REST), 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 Chatwork and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Chatwork and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Chatwork and Google Cloud BigQuery (REST)

Chatwork + Google Cloud BigQuery + Google Sheets: Extracts messages from a specified Chatwork room. These messages are then loaded into Google Cloud BigQuery for analysis. Finally, key metrics derived from the BigQuery data are presented in a Google Sheet.

Google Cloud BigQuery + Chatwork + Slack: This workflow monitors Google Cloud BigQuery for anomalies. When an anomaly is detected, a message is sent to a specified Chatwork channel, and a notification is sent to a designated Slack channel.

Chatwork and Google Cloud BigQuery (REST) integration alternatives

About Chatwork

Use Chatwork with Latenode to automate team notifications and tasks. Send messages based on triggers from your CRM, database, or other apps. Latenode's visual builder simplifies creating complex workflows. Reduce manual updates, keep your team informed, and improve response times by integrating Chatwork into automated processes.

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.

See how Latenode works

FAQ Chatwork and Google Cloud BigQuery (REST)

How can I connect my Chatwork account to Google Cloud BigQuery (REST) using Latenode?

To connect your Chatwork account to Google Cloud BigQuery (REST) on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Chatwork and click on "Connect".
  • Authenticate your Chatwork and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive Chatwork data in BigQuery automatically?

Yes, you can! Latenode's advanced logic lets you filter, transform, and load Chatwork data into BigQuery on a schedule. Analyze trends, improve team communication, and retain critical data.

What types of tasks can I perform by integrating Chatwork with Google Cloud BigQuery (REST)?

Integrating Chatwork with Google Cloud BigQuery (REST) allows you to perform various tasks, including:

  • Backing up Chatwork message data to BigQuery for compliance reasons.
  • Analyzing Chatwork message sentiment for customer feedback insights.
  • Creating reports on Chatwork task completion times using BigQuery.
  • Triggering BigQuery data analysis upon specific Chatwork message events.
  • Building dashboards visualizing Chatwork activity alongside other data.

HowsecureistheChatworkconnectiononLatenodeandwhatdataislogged?

Latenode uses secure authentication protocols and encrypts data in transit. We log only metadata essential for workflow execution, not message content, ensuring your data privacy.

Are there any limitations to the Chatwork and Google Cloud BigQuery (REST) integration on Latenode?

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

  • Rate limits imposed by the Chatwork API may affect high-volume data transfers.
  • Complex data transformations might require JavaScript knowledge.
  • Initial setup requires familiarity with both Chatwork and BigQuery APIs.

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