Threads

Cut chat in half. Threads is a Slack replacement designed for makers.

Integrate the Threads API with the Python API

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

Delete a Thread with the Threads API

Delete a thread. See the Documentation

 
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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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Post a Chat Message with the Threads API

Post a message to a chat. First, make sure you add your Bot user to the chat. See the Documentation

 
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Post a Thread with the Threads API

Post a new thread to a specific channel. See the Documentation.

 
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Overview of Threads

The Threads API on Pipedream enables you to automate your team's communication in Threads.com, a platform designed to make work discussions more organized and accessible. By integrating the API with Pipedream, you can create workflows to streamline notifications, manage discussions, and sync information across multiple services without writing complex code.

Connect Threads

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    threads: {
      type: "app",
      app: "threads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://trythreads.com/api/public/ping`,
      headers: {
        Authorization: `Bearer ${this.threads.$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}}