---
title: "Connect Google BigQuery to Lusha Connect - APIANT.ai"
description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Contact Lookalikes\" in Lusha Connect."
canonical: "https://apiant.ai/connect/google-bigquery-to-lusha-connect"
---

# Connect Google BigQuery to Lusha Connect

When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Contact Lookalikes** in [Lusha Connect](https://apiant.ai/connections/lusha-connect). Describe the whole flow and it is built, tested on every scenario and kept running.

Google BigQuery **4** triggers Google BigQuery **10** actions Lusha Connect **13** 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 Lusha Connect 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 can start in Lusha Connect

- When **New Job Completed** in Google BigQuery then **Contact Lookalikes** in Lusha Connect
- When **New Row** in Google BigQuery then **Enrich Contacts** in Lusha Connect

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 Lusha Connect

## Triggers and actions 4 triggers · 23 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.

- Action

**Company Lookalikes**

Returns companies similar to a set of seed companies you supply by domain or LinkedIn URL, using Lusha's AI-powered recommendations.

- Action

**Contact Lookalikes**

Returns contacts similar to a set of 5–100 seed contacts, using Lusha's AI-powered lookalike recommendations. Results are lightweight previews; enrich them to reveal emails and phone numbers.

- Action

**Enrich Companies**

Returns full company profiles (firmographics, industry codes, locations, and optional employee breakdowns, competitors, intent and parent companies) for up to 100 Lusha company IDs found with Find companies.

- Action

**Enrich Contacts**

Reveals emails and phone numbers for up to 100 Lusha contacts previously found with Search Contacts, returning their full profiles.

- Action

**Enrich Contacts by Lusha ID**

Reveals emails and phone numbers for up to 100 contacts using the Lusha contact IDs returned by Search Contacts.

- Action

**Find companies**

Looks up companies in Lusha by name, domain or Lusha company ID and returns a preview of each match, including what can be revealed with Enrich Companies.

- Action

**Find prospecting companies**

Searches Lusha's company database by firmographic filters (size, revenue, industry, location, technologies, intent, signals) and returns matching company previews with their Lusha IDs.

- Action

**Find prospecting contacts**

Searches Lusha's contact database for people matching your contact and company filters, returning lightweight previews with Lusha contact IDs you can pass to Enrich Contacts.

- Action

**Get account usage**

Returns your Lusha account's credit balance, rate-limit standing, plan details and per-action credit pricing.

- Action

**Get Company Signals**

Returns hiring, headcount, web traffic, IT spend, intent and news signal events for up to 100 Lusha companies.

- Action

**Search and Enrich Companies**

Finds up to 100 companies by name, domain or Lusha ID and returns their full firmographic profiles in one call.

- Action

**Search and Enrich Contacts**

Finds up to 100 contacts by email, LinkedIn URL, Lusha ID or name and company, and reveals their emails and phone numbers in one call.

- Action

**Search Contacts**

Looks up up to 100 contacts by Lusha ID, LinkedIn URL, email, or name and company, and returns a preview of each match plus what can be revealed with Enrich Contacts.

## 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)
- [ **Lusha Connect** Lusha Connect is a tool that Instantly enrich contacts & companies data, automate outreach, and streamline...](https://apiant.ai/connections/lusha-connect)

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 Lusha Connect

- [ **HubSpot to Lusha Connect** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-lusha-connect)
- [ **Salesforce to Lusha Connect** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-lusha-connect)
- [ **Slack to Lusha Connect** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-lusha-connect)
- [ **Google Sheets to Lusha Connect** Google Sheets](https://apiant.ai/connect/google-sheets-to-lusha-connect)
- [ **Gmail to Lusha Connect** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-lusha-connect)
- [ **Google Calendar to Lusha Connect** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-lusha-connect)

Questions

## Google BigQuery and Lusha Connect, 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 Lusha Connect when something happens in Google BigQuery?

Any of Lusha Connect's 13 actions, including Company Lookalikes, Contact Lookalikes, Enrich Companies and Enrich Contacts. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Lusha Connect to Google BigQuery?

Lusha Connect has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Lusha Connect's API documentation and adds it.

###

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

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 Lusha Connect 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.
