TextIt

TextIt provides a way of automating conversational interactions over SMS, messaging bots and phone calls.

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.

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

Emit new event for each new flow event

 
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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.

 
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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

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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

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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