What do you want to automate
with ActiveCampaign and Python?
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Popular Ways to Connect ActiveCampaign with Python#
Popular ActiveCampaign and Python Triggers#
Emit new event each time an automation sends out webhook data.
Emit new event when a contact email address bounces from a sent campaign.
Emit new event when a link from a campaign is clicked (will only run once for each unique link).
Emit new event when a contact opens a campaign (will trigger once per contact per campaign).
Emit new event each time a campaign starts sending.
Popular ActiveCampaign and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of ActiveCampaign#
ActiveCampaign's API provides a powerful interface to automate your email marketing, sales automation, and customer relationship management. By leveraging ActiveCampaign with Pipedream, you can create custom, automated workflows that react to events in real-time, sync data between various platforms, and trigger targeted communication with your users. With the ability to perform actions such as adding contacts, updating deals, and sending out campaigns, the API offers a wide range of possibilities for enhancing your marketing strategies.
Connect ActiveCampaign#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
activecampaign: {
type: "app",
app: "activecampaign",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.activecampaign.$auth.base_url}/api/3/users/me`,
headers: {
"Api-Token": `${this.activecampaign.$auth.api_key}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies