Integrate the Cometly API with the Python API

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

Popular Cometly and Python Actions#

Send Event with the Cometly API

Sends an event to the Cometly API. [See the documentation]https://developers.cometly.com/#endpoint-advanced-method)

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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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Overview of Cometly#

The Cometly API allows you to track ad performance and automate the analysis and optimization of advertising campaigns. With Pipedream, you can create serverless workflows that interact with the Cometly API to streamline campaign management tasks, such as retrieving campaign metrics, updating ad spend, and generating performance reports. Using Cometly in conjunction with Pipedream’s robust integration capabilities, you can connect to numerous other services to enrich your ads data, automate actions based on performance thresholds, and synchronize your marketing efforts across platforms.

Connect Cometly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cometly: {
      type: "app",
      app: "cometly",
    }
  },
  async run({steps, $}) {
    const data = {
      "event_name": `developer`,
      "email": `sergio@pipekit.pro`,
      "comet_token": `ddffd8d8338383883838484843838388d8dfaf`,
      "ip": `123.123.123.123`,
      "event_time": `test`,
    }
    return await axios($, {
      method: "post",
      url: `https://app.cometly.com/public-api/v1/events`,
      headers: {
        Authorization: `Bearer ${this.cometly.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}