Integrate the Sendbird API with the Python API

Setup the Sendbird API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Sendbird and Python remarkably fast. Free for developers.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Sendbird and Python Actions#

List messages with the Sendbird API

Retrieves a list of past messages of a specific channel. See the docs here

Try it

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Send message with the Sendbird API

Sends a message to a channel. See the docs here

Try it

Overview of Sendbird#

The Sendbird API provides programmatic access to advanced chat features, enabling the creation and management of in-app messaging for community forums, customer support, or any other chat-based interaction. By leveraging the Sendbird API on Pipedream, you can automate user management, message and channel handling, and event tracking. Pipedream's serverless platform simplifies these automations, offering a way to integrate chat functionalities with other services, trigger workflows from chat events, and handle real-time data processing without writing extensive infrastructure code.

Connect Sendbird#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendbird: {
      type: "app",
      app: "sendbird",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://gate.sendbird.com/api/v2/applications`,
      headers: {
        "SENDBIRDORGANIZATIONAPITOKEN": `${this.sendbird.$auth.organization_api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo