Integrate the Slack API with the Python API

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. When you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions, or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It just makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

Here are some examples of automations you can build with Pipedream on Slack:

Automate posting updates to your team channel
Create a bot to answer common questions
Integrate with your existing tools and services
Build a custom dashboard to track your team's progress
Create a bot to handle scheduling and meeting requests
And much more!

Should I use the Slack or Slack Bot app on Pipedream?

The Slack app is the easiest and most convienent option to get started. It installs the official Pipedream bot into your Slack workspace with just a few clicks.

However, if you'd like to use your own bot registered with the Slack API, you can use the Slack Bot app instead.

The Slack Bot requires a bot token to allow your Pipedream workflows to authenticate as your bot. The extra set up steps allow you to list your custom bot on the Slack Marketplace, or install the bot on other workspaces as your bot's name instead of as Pipedream.

Connect Slack#

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

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
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Save Zoom Cloud Recordings to Google Drive and Share on Slack

Save Zoom Cloud Recordings to Google Drive and Share on Slack.

Run a Pipedream workflow on PagerDuty on-call rotations

Run common workflows, or any Node.js code you'd like, each time a new user rotates onto an on-call schedule.

Community Posts#

Airtable Webhooks with Slack + Pipedream

We love Airtable here at Pipedream. But Airtable lacks one killer feature — webhooks. We took advantage of Airtable’s Slack notifications and built a way to send webhooks to an HTTP endpoint every time a record is created or updated in a base. It takes 10 minutes to setup and it’s free.