ManyChat and Google Cloud BigQuery (REST) Integration

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Log ManyChat interactions in Google Cloud BigQuery (REST) for advanced analytics. Latenode's visual editor simplifies complex data flows, while affordable execution-based pricing ensures scalability. Access full data control by integrating custom JS logic to refine BigQuery imports.

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ManyChat

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect ManyChat and Google Cloud BigQuery (REST)

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

Add the ManyChat Node

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

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Configure the ManyChat

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

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Run node once

Add the Google Cloud BigQuery (REST) Node

Next, click the plus (+) icon on the ManyChat 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 ManyChat 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 ManyChat 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 ManyChat, 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 ManyChat and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between ManyChat 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 ManyChat and Google Cloud BigQuery (REST)

ManyChat + Google Cloud BigQuery (REST) + Google Sheets: When a user submits a survey response in ManyChat via a custom field update, the data is inserted into a BigQuery table. Then, Google Sheets retrieves the data from BigQuery for analysis and visualization.

Google Cloud BigQuery (REST) + ManyChat + Slack: When a new row is added to a specific table in BigQuery, indicating a change in customer engagement data, a notification is sent to a designated Slack channel to alert the team to adjust the ManyChat strategy. This assumes the BigQuery data analysis is done elsewhere and the trigger indicates an important change.

ManyChat and Google Cloud BigQuery (REST) integration alternatives

About ManyChat

Use ManyChat in Latenode to automate personalized messaging based on triggers from other apps. Sync contact data, manage chatbot flows based on CRM updates, or route leads to sales teams via Slack. Build flexible, scalable marketing automation without complex coding or per-step fees using Latenode’s visual editor.

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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FAQ ManyChat and Google Cloud BigQuery (REST)

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

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

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

Can I analyze ManyChat data in BigQuery?

Yes, you can! Latenode automates data transfer,enabling advanced analytics. Uncover trends and insights in your chat data for better business decisions.

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

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

  • Backing up ManyChat conversation data to a BigQuery dataset.
  • Analyzing user engagement trends within ManyChat using BigQuery.
  • Creating custom dashboards to visualize ManyChat metrics in real-time.
  • Enriching BigQuery data with insights from ManyChat interactions.
  • Automating reports on ManyChat performance using BigQuery data.

HowsecureistheManyChatdatatransfertoBigQueryonLatenode?

Latenode uses encrypted connections and secure authentication protocols to protect your ManyChat and BigQuery data during transfer.

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

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

  • Initial data transfer from ManyChat might take time depending on data volume.
  • BigQuery quotas and limits apply, potentially impacting high-volume operations.
  • Custom data transformations may require JavaScript knowledge within Latenode.

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