# Connect Google Analytics and Google BigQuery When **New Daily Report Row** fires in [Google Analytics](https://apiant.ai/connections/google-analytics-2), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Run Realtime Report** in Google Analytics. Describe the whole flow and it is built, tested on every scenario and kept running. Google Analytics **1** trigger Google Analytics **7** 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 Google Analytics 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 Google Analytics and Google BigQuery can do together ### From Google Analytics to Google BigQuery - When **New Daily Report Row** in Google Analytics then **Create Row** in Google BigQuery - When **New Daily Report Row** in Google Analytics then **Create Rows** in Google BigQuery ### From Google BigQuery to Google Analytics - When **New Job Completed** in Google BigQuery then **Run Realtime Report** in Google Analytics - When **New Row** in Google BigQuery then **Run Report** in Google Analytics 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 Analytics and Google BigQuery ## Triggers and actions 5 triggers · 17 actions - Trigger **New Daily Report Row** Triggers once for each report row of the previous full day (in the property's time zone), with the chosen dimensions and metrics as fields. Checks for yesterday's rows on every poll and delivers each row once. - Action **Get Metadata** Returns the dimensions and metrics available for reporting on a GA4 property, including custom ones. - Action **Get Property** Returns the details of one GA4 property, such as its name, time zone and currency. - Action **List Accounts** Returns the Google Analytics accounts the connected user can access. - Action **List Audiences** Returns the audiences defined on a GA4 property. - Action **List Properties** Returns the GA4 properties under an account. - Action **Run Realtime Report** Runs a GA4 realtime report covering the last 30 minutes of activity on a property. - Action **Run Report** Runs a GA4 report for the chosen dimensions, metrics and date range and returns one row per dimension combination. - 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 - [ **Google Analytics** Google Analytics 4 measures website and app traffic, user behavior and conversions; run reports and read...](https://apiant.ai/connections/google-analytics-2) - [ **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 Google Analytics - [ **Google Analytics to ScrapingAnt** ScrapingAnt is a web scraping tool that handles proxies and headless browsers.](https://apiant.ai/connect/google-analytics-2-to-scrapingant) - [ **Google Analytics to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-analytics-2-to-hubspot) - [ **Google Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-analytics-2-to-salesforce) - [ **Google Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/google-analytics-2-to-slack) - [ **Google Analytics to Google Sheets** Google Sheets](https://apiant.ai/connect/google-analytics-2-to-google-sheets) - [ **Google Analytics to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-analytics-2-to-google-calendar) ## 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 ## Google Analytics and Google BigQuery, answered ### ### What can start an automation from Google Analytics? Any of Google Analytics's 1 trigger in the catalog, including New Daily Report Row. 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 Google Analytics? 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 Google Analytics? Yes. When something happens in Google BigQuery, your agent can act in Google Analytics too. This page covers both directions: Google BigQuery's triggers and Google Analytics's actions are listed here as well. ### ### Do I have to build a connector for Google Analytics 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.