Integrate the Chatwork API with the Python API

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

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Popular Ways to Connect Chatwork with Python#

Run Python Code with Python API on New Message Received from Chatwork API

Chatwork + Python

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Run Python Code with Python API on New Task Completed from Chatwork API

Chatwork + Python

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Popular Chatwork and Python Triggers#

New Message Received from the Chatwork API

Emit new event each time a new message is received.

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New Task Completed from the Chatwork API

Emit new event each time a task is completed.

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Popular Chatwork and Python Actions#

Create Message with the Chatwork API

Send a message to a specified room. 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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Create Room with the Chatwork API

Create a new group chat. See the documentation

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Create Task with the Chatwork API

Create a new task in a specified room. See the documentation

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Overview of Chatwork#

The Chatwork API on Pipedream allows you to automate conversations, manage contacts, and streamline notifications within Chatwork. It’s a great way to integrate Chatwork with other apps and services, creating efficient workflows that save time and reduce manual tasks. With Pipedream, you can trigger actions based on messages, send alerts to a Chatwork room, or even sync Chatwork data with CRM systems or databases.

Connect Chatwork#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatwork: {
      type: "app",
      app: "chatwork",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.chatwork.com/v2/me`,
      headers: {
        Authorization: `Bearer ${this.chatwork.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}

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