Slack Bot

Interact with Slack with your own bot user

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.

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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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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Archive Channel with the Slack Bot API

Archive a channel (Bot). See docs here

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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 a Channel with the Slack Bot API

Create a new channel (Bot). See docs here

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Delete File with the Slack Bot API

Delete a file (Bot). See docs here

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Delete Message with the Slack Bot API

Delete a message (Bot). See docs here

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Overview of Slack Bot

Slack Bot APIs offer powerful and flexible ways to automate repetitive tasks
and integrate workflows from various services. With the help of these APIs, it
is possible to develop Slack bots capable of exiting and entering specific
channels as well as performing various actions requested from users.

A Slack bot can be used to automate specific tasks and carry out routine admin
jobs such as checking the team’s working time, organizing team meetings,
managing customer inquiries and so on. These bots can be programmed to inform
the members of the team when tasks are completed. Some of the examples of what
you can create using the Slack Bot APIs are:

  • Automated reminders
  • Productivity and time tracking
  • Data analysis and processing
  • Internal communication releases
  • Integrations with external tools and services
  • Conversation and inquiry management
  • Automation of customer service
  • Scheduling and tracking of tasks
  • Personalised customer recommendations

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: ``,
      headers: {
        Authorization: `Bearer ${this.slack_bot.$auth.bot_token}`,
      method: 'post',

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

def handler(pd: "pipedream"):
  # Reference data from previous steps
  # Return data for use in future steps
  return {"foo": {"test":True}}