Integrate the Slack Bot API with the Python API

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

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Popular Ways to Connect Slack Bot with Python#

Run Python Code with Python API on New Direct Message from Slack Bot API

Slack Bot + Python

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Run Python Code with Python API on New Message In Channel from Slack Bot API

Slack Bot + Python

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Popular Slack Bot and Python Triggers#

New Direct Message from the Slack Bot API

Emit new event when a message is posted in a direct message channel (Bot). To open a conversation, use the Pipedream Action "Send a Direct Message" to send a message from the Bot, or enable direct messages to the Bot in your App Settings (Settings->App Home->Show Tabs->Messages Tab), and send a direct message to the Bot.

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New Message In Channel from the Slack Bot API

Emit new event when a new message is posted to a public, private or group channel (Bot)

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Popular Slack Bot and Python Actions#

Add Emoji Reaction with the Slack Bot API

Add an emoji reaction to a message. 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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Archive Channel with the Slack Bot API

Archive a channel (Bot). See the documentation

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Create a Channel with the Slack Bot API

Create a new channel (Bot). See the documentation

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Delete File with the Slack Bot API

Delete a file (Bot). See the documentation

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Overview of Slack Bot#

The Slack Bot API allows you to build rich, interactive bots for Slack workspaces. These bots can respond to messages, post updates, and interact with users in various ways. With the Slack Bot API on Pipedream, developers can create automated workflows that trigger on specific events in Slack, such as new messages or reactions, and then perform defined actions, like sending data to other apps or processing the information within Pipedream's serverless platform. This tight integration with Pipedream enables both simple and complex automations, leveraging Pipedream's ability to connect with numerous apps and its powerful built-in code steps.

Connect Slack Bot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slack_bot: {
      type: "app",
      app: "slack_bot",
    },
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slack.com/api/auth.test`,
      headers: {
        Authorization: `Bearer ${this.slack_bot.$auth.bot_token}`,
      },
      method: 'post',
    })
  },
})

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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