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Followed Streams from Twitch API

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Followed Streams from the Twitch API
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Getting Started

Trigger a workflow on Followed Streams with Twitch API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Followed Streams trigger
    1. Connect your Twitch account
    2. Configure timer
  2. Add steps to connect to + APIs using code and no-code building blocks
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger


This is a pre-built, open source component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Followed Streams on Twitch
Description:Emits an event when a followed stream is live.


const common = require("../common-polling.js");

module.exports = {
  name: "Followed Streams",
  key: "twitch-followed-streams",
  description: "Emits an event when a followed stream is live.",
  version: "0.0.3",
  methods: {
    getMeta(item) {
      const { id, started_at: startedAt, title: summary } = item;
      const ts = new Date(startedAt).getTime();
      return {
  hooks: {
    async deploy() {
      // get the authenticated user
      const { data: authenticatedUserData } = await this.twitch.getUsers();
      this.db.set("authenticatedUserId", authenticatedUserData[0].id);
  async run() {
    const params = {
      from_id: this.db.get("authenticatedUserId"),
    // get the user_ids of the streamers followed by the authenticated user
    const follows = await this.paginate(
    const followedIds = [];
    for await (const follow of follows) {
    // get and emit streams for the followed streamers
    const streams = await this.paginate(this.twitch.getStreams.bind(this), {
      user_id: followedIds,
    for await (const stream of streams) {
      this.$emit(stream, this.getMeta(stream));


This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
TwitchtwitchappThis component uses the Twitch app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.


Twitch uses OAuth authentication. When you connect your Twitch account, Pipedream will open a popup window where you can sign into Twitch and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Twitch API.

Pipedream requests the following authorization scopes when you connect your account:


About Twitch

Live streaming platform for gamers

About Pipedream

Stop writing boilerplate code, struggling with authentication and managing infrastructure. Start connecting APIs with code-level control when you need it — and no code when you don't.

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Powerful features that scale
Manage concurrency and execution rate
Manage concurrency and execution rate

Queue up to 10,000 events per workfow and manage the concurrency and rate at which workflows are triggered.

Process large payloads up to 5 terabytes
Process large payloads up to 5 terabytes

Large file support enables you to trigger workflows with any data (e.g., large JSON files, images and videos) up to 5 terabytes.

Return custom responses to HTTP requests
Return custom responses to HTTP requests

Return any JSON-serializable response from an HTTP triggered workflow using $respond().

Use most npm packages
Use most npm packages

To use any npm package, just require() it -- there's no npm install or package.json required.

Maintain state between executions
Maintain state between executions

Use $checkpoint to save state in one workflow invocation and read it the next time your workflow runs.

Pass data between steps
Pass data between steps

Return data from any step to inspect it in a human-friendly way and reference the data in future steps via the steps object.