Wishpond
Reach new customers and increase sales, affordably. Get the all-in-one marketing platform you need to grow your business and a team of experts doing the work for you.
Integrate the Wishpond API with the Python API
Setup the Wishpond API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Wishpond and Python remarkably fast. Free for developers.
Popular Wishpond 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 Wishpond#
Wishpond's API unlocks a world where digital marketing efforts can be automated and customized at scale. With this powerful tool at your disposal on Pipedream, you can create, manage, and track marketing campaigns effortlessly. Leverage Wishpond to capture leads, nurture them through personalized emails, and analyze the performance of your marketing strategies. By integrating with Pipedream, you capitalize on the ability to connect Wishpond with hundreds of apps, triggering actions based on campaign events, syncing leads to CRMs, and automating follow-up tasks without writing a single line of code.
Connect Wishpond#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wishpond: {
type: "app",
app: "wishpond",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.wishpond.com/api/v1/leads/`,
headers: {
"X-Api-Token": `${this.wishpond.$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}}