Integrate the Google Ads API with the Snowflake API

The Google Ads API lets you programmatically manage your Google Ads data and
campaigns. You can use the API to automate common tasks, such as:

• Creating and managing campaigns
• Adding and removing keywords
• Adjusting bids

You can also use the API to get information about your campaigns, such as:

• Campaign stats
• Keyword stats
• Ad performance

The Google Ads API is a powerful tool that lets you manage your Google Ads data
and campaigns programmatically. With the API, you can automate common tasks,
such as creating and managing campaigns, adding and removing keywords, and
adjusting bids. You can also use the API to get information about your
campaigns, such as campaign stats, keyword stats, and ad performance.

Customizing API requests with the Pipedream proxy

The Pipedream components interact with Google Ads API through Pipedream's proxy service, which handles authentication and developer token requirements.

The components accept a standard Google Ads API request object with the following structure:

const googleAdsReq = {
  method: "get|post|put|delete",  // HTTP method
  url: "/v16/...",                // Google Ads API endpoint path
  headers: {
    "Authorization": `Bearer ${this.googleAds.$auth.oauth_access_token}`
  },
  data: {}                        // Optional request body for POST/PUT requests
}

To make different API calls while using the proxy:

1. Modify the url path to match your desired Google Ads API endpoint
2. Update the method to match the required HTTP method
3. Add any necessary request body data in the data field
4. Include any required headers (Authorization is automatically included)

Example for a custom query:

const googleAdsReq = {
  method: "post",
  url: "/v16/customers/1234567890/googleAds:search",
  headers: {
    "Authorization": `Bearer ${this.googleAds.$auth.oauth_access_token}`
  },
  data: {
    query: "SELECT campaign.id, campaign.name FROM campaign"
  }
}

The proxy endpoint will remain the same: https://eolid4dq1k0t9hi.m.pipedream.net

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.