HTTP / Webhook
Get a unique URL where you can send HTTP or webhook requests
Integrate the HTTP / Webhook API with the Python API
Setup the HTTP / Webhook API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate HTTP / Webhook and Python remarkably fast. Free for developers.
Popular Ways to Connect HTTP / Webhook with Python#
Popular HTTP / Webhook and Python Triggers#
Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.
Get a URL and emit the HTTP body as an event on every request
Emit new event when the content of the URL changes.
Popular HTTP / Webhook and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.
Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.
Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.
Send an HTTP PUT request to any URL. Optionally configure query string parameters, headers and basic auth.
Connect HTTP / Webhook#
// To use any npm package on Pipedream, just import it
import axios from "axios"
export default defineComponent({
async run({ steps, $ }) {
const { data } = await axios({
method: "GET",
url: "https://pokeapi.co/api/v2/pokemon/charizard",
})
return data.species
},
})
Overview of Python#
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:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
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}}Community Posts#
