SlickText

We make text message marketing and SMS marketing easy. Increase revenue and build customer loyalty with our SMS marketing software.

Integrate the SlickText API with the Python API

Setup the SlickText API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SlickText 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.

 
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Overview of SlickText

SlickText provides a platform to harness the power of text messaging for marketing and communication purposes. With its API, you can automate the sending of SMS messages, manage contacts, and track message performance directly through Pipedream. Pipedream's serverless execution model and vast connectivity with other apps make it an ideal environment to build complex messaging workflows, enriching communications with data from CRMs, customer support platforms, and marketing tools.

Connect SlickText

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slicktext: {
      type: "app",
      app: "slicktext",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.slicktext.com/v1/account`,
      auth: {
        username: `${this.slicktext.$auth.public_api_key}`,
        password: `${this.slicktext.$auth.private_api_key}`,
      },
    })
  },
})

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}}