LinkedIn Ads

Use LinkedIn self-service ads to reach more than 900+ million users worldwide.

Integrate the LinkedIn Ads API with the Python API

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

Run Python Code with Python API on New Event Registration Form Response from LinkedIn Ads API
LinkedIn Ads + Python
 
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New Event Registration Form Response from the LinkedIn Ads API

Emit new event when a fresh response is received on the event registration form. User needs to configure the prop of the specific event. See the documentation

 
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Create A Report with the LinkedIn Ads API

Queries the Analytics Finder to get analytics for the specified entity i.e company, account, campaign. See the docs here

 
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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 Report By Advertiser Account with the LinkedIn Ads API

Sample query using analytics finder that gets analytics for a particular account for date range starting in a given year. See the docs here

 
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Query Analytics Finder Campaign Sample with the LinkedIn Ads API

Sample query using analytics finder that gets analytics for a particular campaign in a date range starting in a given year. See the docs here

 
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Send Conversion Event with the LinkedIn Ads API

Sends a conversion event to LinkedIn Ads. See the documentation

 
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Overview of LinkedIn Ads

The LinkedIn Ads API on Pipedream enables you to automate and integrate your LinkedIn advertising efforts with other services. Fetch campaign data, manage ad accounts, or automate ad creation and adjustments. With Pipedream, you can trigger workflows with HTTP requests, emails, and on a schedule, and connect to thousands of other apps with minimal effort.

Connect LinkedIn Ads

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    linkedin_ads: {
      type: "app",
      app: "linkedin_ads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.linkedin.com/v2/me`,
      headers: {
        Authorization: `Bearer ${this.linkedin_ads.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}