# Connect Apollo and Google BigQuery When **Account Updated** fires in [Apollo](https://apiant.ai/connections/apollo), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Create Contact** in Apollo. Describe the whole flow and it is built, tested on every scenario and kept running. Apollo **4** triggers Apollo **10** actions Google BigQuery **4** triggers Google BigQuery **10** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Apollo and Google BigQuery to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Apollo and Google BigQuery can do together ### From Apollo to Google BigQuery - When **Account Updated** in Apollo then **Create Row** in Google BigQuery - When **Contact Updated** in Apollo then **Create Rows** in Google BigQuery ### From Google BigQuery to Apollo - When **New Job Completed** in Google BigQuery then **Create Contact** in Apollo - When **New Row** in Google BigQuery then **Create Deal** in Apollo 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 Apollo and Google BigQuery ## Triggers and actions 8 triggers · 20 actions - Trigger **Account Updated** Polls Apollo accounts/search for new or updated accounts (dedup on MD5 of the record; accounts/search returns no updated_at). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **Contact Updated** Polls Apollo contacts/search for new or updated contacts (dedup on MD5 of the record). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Account** Polls Apollo accounts/search for newly created accounts (dedup on account id). Apollo has no record-change webhook API, so this is a polling trigger. - Trigger **New Contact** Polls Apollo contacts/search for newly created contacts (dedup on contact id). Apollo has no record-change webhook API, so this is a polling trigger. - Action **Create Account** An Account is a company that your team has added to Apollo. - Action **Create Contact** A Contact is a person your team has added to Apollo. - Action **Create Deal** Deals are records that you can use to track possible opportunities with your prospective customers. - Action **Create Task** Creates a task for the specified Apollo contact (via /tasks/bulk_create with a single contact). - Action **Find Contact** Find a contact in your Apollo instance by searching for their email. If you have multiple contacts with the same email address, this search returns the contact that was created first. - Action **Find Deal** Returns up to 100 deals (opportunities) that match the specified name. Leave name blank to return all deals. - Action **Find Task** Returns up to 100 tasks for the specified contact. Leave contact_id blank to return all tasks. - Action **Update Account** Update an existing Account. - Action **Update Contact** Update an already existing Contact. - Action **Update Deal** Update an already existing Deal. - 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. ## Each app on its own - [ **Apollo** Apollo is a unified engagement platform that is the foundation for your entire end-to-end sales strategy.](https://apiant.ai/connections/apollo) - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) Reviews ## What our customers say ## More from Apollo - [ **Apollo to Streak** Streak is a flexible CRM and process management system that lives inside your Gmail inbox.](https://apiant.ai/connect/apollo-to-streak) - [ **Apollo to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/apollo-to-hubspot) - [ **Apollo to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/apollo-to-salesforce) - [ **Apollo to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/apollo-to-slack) - [ **Apollo to Google Sheets** Google Sheets](https://apiant.ai/connect/apollo-to-google-sheets) - [ **Apollo to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/apollo-to-gmail) ## More into Google BigQuery - [ **Gmail to Google BigQuery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-bigquery) - [ **ActiveCampaign to Google BigQuery** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-google-bigquery) - [ **Airtable to Google BigQuery** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-bigquery) - [ **Asana to Google BigQuery** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-google-bigquery) - [ **ClickUp to Google BigQuery** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-google-bigquery) - [ **Discord to Google BigQuery** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-google-bigquery) Questions ## Apollo and Google BigQuery, answered ### ### What can start an automation from Apollo? Any of Apollo's 4 triggers in the catalog, including Account Updated, Contact Updated, New Account and New Contact. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Google BigQuery when something happens in Apollo? Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Google BigQuery to Apollo? Yes. When something happens in Google BigQuery, your agent can act in Apollo too. This page covers both directions: Google BigQuery's triggers and Apollo's actions are listed here as well. ### ### Do I have to build a connector for Apollo or Google BigQuery? 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. ### ### 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.