Sinch MessageMedia

Sinch MessageMedia: Business SMS & Messaging Platform

Integrate the Sinch MessageMedia API with the Python API

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

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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

Connect Sinch MessageMedia

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import axios from "axios";
import crypto from 'crypto';

export default defineComponent({
  props: {
    sinch_messagemedia: {
      type: "app",
      app: "sinch_messagemedia",
    }
  },
  async run({ steps, $ }) {
    // Date header in RFC7231 format
    const date = new Date().toUTCString();

    // Signing string (No Content-MD5 needed as this is a GET request with no body)
    const requestLine = 'GET /v1/messaging/numbers/sender_address/addresses/ HTTP/1.1';
    const signingString = `Date: ${date}\n${requestLine}`;

    // Creating HMAC-SHA1 hash
    const hmac = crypto.createHmac('sha1', this.sinch_messagemedia.$auth.api_secret);
    hmac.update(signingString);

    // Base64 encode the hash
    const signature = hmac.digest('base64');

    // Prepare authentication header and make the request
    const authHeader = `hmac username="${this.sinch_messagemedia.$auth.api_key}", algorithm="hmac-sha1", headers="Date request-line", signature="${signature}"`;
    const response = await axios({
      method: 'get',
      url: `${this.sinch_messagemedia.$auth.api_url}/v1/messaging/numbers/sender_address/addresses/`,
      headers: {
        'Date': date,
        'Authorization': authHeader,
        'Accept': 'application/json'
      }
    });

    return response.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}}

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo