Cutt.ly
Free URL Shortener & Link Management Platform with Custom URL Shortener and branded short links, Link-in-bio and QR Codes generator.
Integrate the Cutt.ly API with the Python API
Setup the Cutt.ly API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Cutt.ly and Python remarkably fast. Free for developers.
Popular Cutt.ly and Python Actions#
Retrieves statistical information about a shortened url. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Returns a shortened URL when given a target URL as a prop. See the documentation
Changes the source URL of a previously shortened URL. Requires a Paid Subscription. See the documentation
Overview of Cutt.ly#
The Cutt.ly API allows users to shorten URLs, track their performance, and manage link settings. With Pipedream, you can automate these tasks and create workflows that respond to various triggers, like new form submissions, emails, or scheduled timers. Utilize Pipedream's capabilities to connect Cutt.ly with other apps, store and analyze click data, and streamline digital marketing processes.
Connect Cutt.ly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cutt_ly: {
type: "app",
app: "cutt_ly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cutt.ly/api/api.php`,
params: {
key: `${this.cutt_ly.$auth.api_key}`,
short: `https://pipedream.com/`,
},
})
},
})
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}}