Communicate with personalised data-driven video
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
seen: {
type: "app",
app: "seen",
}
},
async run({steps, $}) {
const data = [
{
"first_name": "Emily",
"last_name": "Druckenmiller",
"customer_id": "693",
"email": "emily.druckenmiller@duquesnecap.com",
"phone": "+14159371665",
"extra_args": {
"gender": "female",
"city": "solano county"
}
}
]
return await axios($, {
method: "post",
url: `https://api.seen.io/v1/campaigns/${this.seen.$auth.campaign_slug}/receivers/`,
headers: {
"content-type": `application/json; charset=utf-8`,
"authorization": `Token ${this.seen.$auth.api_token}`,
},
data,
})
},
})
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:
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}}