---
title: "Connect Google BigQuery and LearnDash - APIANT.ai"
description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Get User Course Progress\" in LearnDash."
canonical: "https://apiant.ai/connect/google-bigquery-to-learndash"
---

# Connect Google BigQuery and LearnDash

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Get User Course Progress** in [LearnDash](https://apiant.ai/connections/learndash), or **Course Completed** in LearnDash to **Get Rows for Job Completed** in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running.

Google BigQuery **4** triggers Google BigQuery **10** actions LearnDash **8** triggers LearnDash **11** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Google BigQuery and LearnDash to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Google BigQuery and LearnDash can do together

### From Google BigQuery to LearnDash

- When **New Job Completed** in Google BigQuery then **Get User Course Progress** in LearnDash
- When **New Row** in Google BigQuery then **Create Course** in LearnDash

### From LearnDash to Google BigQuery

- When **Course Completed** in LearnDash then **Get Rows for Job Completed** in Google BigQuery
- When **Essay Submitted** in LearnDash then **Create Row** in Google BigQuery

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Google BigQuery and LearnDash

## Triggers and actions 12 triggers · 21 actions

- Trigger

**New Job Completed**

Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.

- Trigger

**New Row**

Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.

- Trigger

**Query Job Completed (With Row Data)**

Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.

- Trigger

**Updated Row**

Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.

- Action

**Create Row**

Creates a new row of data in a table. Note: Does not create a job.

- Action

**Create Rows**

Creates new rows of data in a table (accepts line items). Note: Does not create a job.

- Action

**Delete Rows**

Deletes every row in a table whose match column equals the value you give.

- Action

**Find One Row**

Finds the first row in a table whose column equals the value you give.

- Action

**Get Rows for Job Completed**

Returns the result rows of a finished query job.

- Action

**Import Data**

Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.

- Action

**List Datasets**

Returns the datasets in a Google Cloud project.

- Action

**List Tables**

Returns the tables in a BigQuery dataset.

- Action

**Run a Query**

Runs a SQL query against a table in BigQuery.

- Action

**Update Row(s)**

Updates every row in a table whose match column equals the value you give, setting the columns you choose.

- Trigger

**Course Completed**

Triggers when the user you choose completes a LearnDash course.

- Trigger

**Enrolled Into a Group**

Triggers when a user is added to the LearnDash group you choose.

- Trigger

**Essay Submitted**

Triggers when a learner submits a new essay answer on a LearnDash quiz.

- Trigger

**Lesson Completed**

Triggers when the user you choose completes a lesson in the course you choose.

- Trigger

**New Course**

Triggers when a new course is created on your LearnDash site.

- Trigger

**New Course Enrollment**

Triggers when a user is enrolled in the course you choose.

- Trigger

**Quiz Taken**

Triggers when the user you choose finishes a LearnDash quiz attempt.

- Trigger

**Topic Completed**

Triggers when the user you choose completes a topic in the course you choose.

- Action

**Create Course**

Creates a new LearnDash course.

- Action

**Create Group**

Creates a new LearnDash group.

- Action

**Get Course**

Returns one LearnDash course by its ID.

- Action

**Get Group**

Returns one LearnDash group by its ID.

- Action

**Get Lesson**

Returns one LearnDash lesson by its ID.

- Action

**Get User Course Progress**

Returns a user's progress in one LearnDash course: status, steps completed and dates.

- Action

**List Courses**

Returns the courses on your LearnDash site, optionally filtered by search text, status or date.

- Action

**List Groups**

Returns the groups on your LearnDash site, optionally filtered by search text, status or date.

- Action

**List Lessons**

Returns the lessons on your LearnDash site, optionally filtered by search text, status or date.

- Action

**Update Course**

Updates an existing LearnDash course. Only the fields you fill in are changed.

- Action

**Update Group**

Updates an existing LearnDash group. Only the fields you fill in are changed.

## Each app on its own

- [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery)
- [ **LearnDash** LearnDash is a learning management system plugin built for WordPress.](https://apiant.ai/connections/learndash)

Reviews

## What our customers say

## More from Google BigQuery

- [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image)
- [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean)
- [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend)
- [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe)
- [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot)
- [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce)

## More into LearnDash

- [ **HubSpot to LearnDash** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-learndash)
- [ **Google Sheets to LearnDash** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-learndash)
- [ **Gmail to LearnDash** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-learndash)
- [ **Google Calendar to LearnDash** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-learndash)
- [ **Google Drive to LearnDash** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-learndash)
- [ **ActiveCampaign to LearnDash** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-learndash)

Questions

## Google BigQuery and LearnDash, answered

###

### What can start an automation from Google BigQuery?

Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in LearnDash when something happens in Google BigQuery?

Any of LearnDash's 11 actions, including Create Course, Create Group, Update Course and Update Group. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from LearnDash to Google BigQuery?

Yes. When something happens in LearnDash, your agent can act in Google BigQuery too. This page covers both directions: LearnDash's triggers and Google BigQuery's actions are listed here as well.

###

### Do I have to build a connector for Google BigQuery or LearnDash?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### Can my AI client use Google BigQuery and LearnDash without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
