with CoderPad and Twitch?
Blocks a user; that is, adds a specified target user to your blocks list
Checks if you are subscribed to the specified user's channel
Retrieves a list of users who follow the authenticated user. See the documentation
The CoderPad API on Pipedream allows developers to streamline technical interviews and coding assessments by automating the creation, management, and evaluation of coding pads. By integrating CoderPad with Pipedream, you can set up custom workflows that respond to events in your hiring pipeline, synchronize interview data with HR systems, evaluate coding performance, and much more. This seamless automation can save time, reduce manual error, and enhance the overall efficiency of technical assessments.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
coderpad: {
type: "app",
app: "coderpad",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.coderpad.io/api/pads`,
headers: {
"Authorization": `Token token=${this.coderpad.$auth.api_key}`,
},
})
},
})
The Twitch API unlocks a world of possibilities for engaging with live streaming communities and understanding audience behaviors. With Pipedream, you can harness this API to automate many aspects of Twitch interaction and analysis. From tracking stream stats to automating chat messages, the Twitch API lets you create workflows that interact with Twitch's vast live streaming ecosystem. Pipedream's serverless platform streamlines these tasks, making it simple to connect Twitch with other services for enhanced functionalities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twitch: {
type: "app",
app: "twitch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twitch.tv/helix/users`,
headers: {
Authorization: `Bearer ${this.twitch.$auth.oauth_access_token}`,
"Client-ID": `${this.twitch.$auth.oauth_client_id}`,
},
})
},
})