CampaignHQ

CampaignHQ is an affordable yet powerful email marketing platform.

Integrate the CampaignHQ API with the Python API

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

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Create Contact with the CampaignHQ API

Create Contact 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 List with the CampaignHQ API
 
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Get all Contacts with the CampaignHQ API

Get all contacts from a list See the documentation.

 
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Get all Lists with the CampaignHQ API

Get all lists See the documentation.

 
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Overview of CampaignHQ

The CampaignHQ API offers tools to engage in political campaigns, supporting services like phone calls, texts, and surveys. With Pipedream, you can link CampaignHQ's capabilities with other apps to automate your political campaign's engagement and data management. Using Pipedream's serverless platform, you can trigger workflows on events, process and analyze incoming data, and respond in real-time, all without managing infrastructure.

Connect CampaignHQ

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    campaignhq: {
      type: "app",
      app: "campaignhq",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.campaignhq.co/api/v1/lists`,
      headers: {
        Authorization: `Bearer ${this.campaignhq.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo