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 selected actor is run and finishes.
Emit new event when a selected task is run and finishes.
Emit new event when a message was posted in a direct message channel
Send a message to a user, group, private channel or public channel. See the documentation
Configure custom blocks and send to a channel, group, or user. See the documentation.
Performs an execution of a selected actor in Apify. See the documentation
Send a message as a threaded reply. See postMessage or scheduleMessage docs here
Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.
The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once 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 makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.
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}`,
},
})
},
})
The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
apify: {
type: "app",
app: "apify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.apify.com/v2/users/me`,
headers: {
Authorization: `Bearer ${this.apify.$auth.api_token}`,
},
})
},
})