Integrate the TextIt API with the Python API

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

Popular Ways to Connect TextIt with Python#

Run Python Code with Python API on New Flow Event from TextIt API

TextIt + Python

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Popular TextIt and Python Triggers#

New Flow Event from the TextIt API

Emit new event for each new flow event

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Popular TextIt and Python Actions#

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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Start Flow with the TextIt API

Starts a flow. See docs here

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Overview of TextIt#

TextIt is an API that specializes in automating SMS, voice, and social messaging workflows. By leveraging Pipedream's integration capabilities, the TextIt API can be used to create powerful communication automations that respond in real-time to incoming messages, dispatch notifications, and interact with users. With Pipedream, these automations can be connected to a plethora of services to enhance CRM systems, facilitate survey collection, or streamline event-driven notifications.

Connect TextIt#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textit: {
      type: "app",
      app: "textit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://textit.in/api/v2/org.json`,
      headers: {
        "Authorization": `Token ${this.textit.$auth.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#

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}}