Integrate the Google Ads API with the Python API

Setup the Google Ads API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Google Ads and Python remarkably fast. Free for developers.

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Popular Ways to Connect Google Ads with Python#

Run Python Code with Python API on New Campaign Created from Google Ads API

Google Ads + Python

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Run Python Code with Python API on New Lead Form Entry from Google Ads API

Google Ads + Python

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Popular Google Ads and Python Triggers#

New Campaign Created from the Google Ads API

Emit new event when a new campaign is created. See the documentation

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New Lead Form Entry from the Google Ads API

Emit new event for new leads on a Lead Form. See the documentation

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Popular Google Ads and Python Actions#

Add Contact to Customer List by Email with the Google Ads API

Adds a contact to a specific customer list in Google Ads. Lists typically update in 6 to 12 hours after operation. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Customer List with the Google Ads API

Create a new customer list in Google Ads. See the documentation

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Create Report with the Google Ads API

Generates a report from your Google Ads data. See the documentation

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Send Offline Conversion with the Google Ads API

Send an event from to Google Ads to track offline conversions. See the documentation

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Overview of Google Ads#

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:

Modify the url path to match your desired Google Ads API endpoint
Update the method to match the required HTTP method
Add any necessary request body data in the data field
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

Connect Google Ads#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    googleAds: { type: "app", app: "google_ads" }
  },
  async run({ $ }) {
    const googleAdsReq = {
      method: "get",
      url: "/v16/customers:listAccessibleCustomers",
      headers: {
        "Authorization": `Bearer ${this.googleAds.$auth.oauth_access_token}`,
        // "login-customer-id": this.googleAds.$auth.login_customer_id // optional for this endpoint
      }
    }
    // proxy google ads request
    return await axios($, {
      url: "https://eolid4dq1k0t9hi.m.pipedream.net",
      data: googleAdsReq,
    })
  }
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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