Zoho Campaigns
Marketing platform built exclusively for email marketing—you bring in and manage the email database of your leads and contacts and send marketing emails to them.
Integrate the Zoho Campaigns API with the Python API
Setup the Zoho Campaigns API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zoho Campaigns and Python remarkably fast. Free for developers.
Popular Zoho Campaigns and Python Actions#
You can use this API to add contacts to your mailing lists. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
You can create a campaign using this API. Using this API, you can set the campaign name, subject line, sender address; choose the intended mailing list.. See the documentation
Overview of Zoho Campaigns#
The Zoho Campaigns API opens up a world of possibilities for email marketing automation within Pipedream, allowing you to manage contacts, campaigns, and reports programmatically. You can connect Zoho Campaigns with other apps to create workflows that automate various tasks, such as synchronizing subscriber lists, triggering campaigns based on specific actions or events, and analyzing campaign performance with custom metrics.
Connect Zoho Campaigns#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_campaigns: {
type: "app",
app: "zoho_campaigns",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://campaigns.${this.zoho_campaigns.$auth.base_api_url}/api/v1.1/getmailinglists?resfmt=JSON`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_campaigns.$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#
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}}