Sendblue

Simple iMessage API ready for scale.

Integrate the Sendblue API with the Python API

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

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

Overview of Sendblue

Sendblue API offers a powerful gateway to automate communication via iMessage, enabling businesses to send and receive messages programmatically. By leveraging Sendblue on Pipedream, you can create intricate workflows that respond to events in real-time, tailor customer interactions, and streamline notifications. It provides a unique opportunity to enhance customer engagement through one of the most widely used messaging platforms.

Connect Sendblue

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendblue: {
      type: "app",
      app: "sendblue",
    }
  },
  async run({steps, $}) {
    const data = {
      "number": `+19998887777`,
      "content": `Hello world`,
      "send_style": `Invisible`,
      "media_url": `https://source.unsplash.com/random.png`,
      "statusCallback": `https://example.com/message-status/1234abcd`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.sendblue.co/api/send-message`,
      headers: {
        "sb-api-key-id": `${this.sendblue.$auth.api_key}`,
        "sb-api-secret-key": `${this.sendblue.$auth.api_secret}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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

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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}}