Freshmarketer
Freshmarketer is a complete marketing automation suite that helps you manage your contacts and lists, design, and deliver compelling marketing campaigns and automate your email marketing.
Integrate the Freshmarketer API with the Python API
Setup the Freshmarketer API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Freshmarketer and Python remarkably fast. Free for developers.
Popular Freshmarketer and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches for a contact by email and returns contact details if found. See the documentation
Removes a contact from a specific list by email or contact ID. See the documentation
Overview of Freshmarketer#
The Freshmarketer API enables automation of marketing efforts, providing tools to manage campaigns, leads, and more. In Pipedream, you can leverage these capabilities to create custom workflows that interact with Freshmarketer's data and connect it to other services. Combining Freshmarketer with Pipedream's serverless platform allows you to automate actions like syncing contacts, triggering campaigns based on external events, or analyzing marketing performance with external analytics tools.
Connect Freshmarketer#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
freshmarketer: {
type: "app",
app: "freshmarketer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.freshmarketer.$auth.domain}.myfreshworks.com/crm/sales/api/sales_accounts/filters`,
headers: {
"Authorization": `Token token=${this.freshmarketer.$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#
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}}