Listen, analyse and convert feedback data into actionable insights that drive satisfaction, retention and quantifiable business results.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Using the Feedier API, you can build a variety of applications that allow users
to collect feedback from customers and track the results. Here are a few
examples:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
feedier: {
type: "app",
app: "feedier",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.feedier.com/v1/carriers`,
headers: {
Authorization: `Bearer ${this.feedier.$auth.api_private_key}`,
"Accept": `application/json`,
"Cache-Control": `no-cache`,
},
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
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}}