Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.
Emit new event when a new message is posted to one or more channels
Emit new event when a message was posted in a direct message channel
Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts.
Emit new event when a username or specific keyword is mentioned in a channel
Emit new event when a member has added an emoji reaction to a message
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send a message to a public channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here
Send a message to a private channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here
Send a direct message to a single user. See postMessage or scheduleMessage docs here
Send a message using Slack's Block Kit UI framework to a channel, group or user. See postMessage or scheduleMessage docs here
With the Slack API, you can build all sorts of integrations and applications to
make your work life easier. Here are just a few examples:
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}`,
},
})
},
})
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:
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}}