← Twitch + Airtable (OAuth) integrations

Create Multiple Records with Airtable (OAuth) API on New Streams By Game from Twitch API

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New Streams By Game from the Twitch API
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Create Multiple Records with the Airtable (OAuth) API
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Getting Started

This integration creates a workflow with a Twitch trigger and Airtable (OAuth) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Streams By Game trigger
    1. Connect your Twitch account
    2. Configure timer
    3. Configure Game Title
    4. Configure Stream Language
    5. Configure Max Items
  3. Configure the Create Multiple Records action
    1. Connect your Airtable (OAuth) account
    2. Select a Base
    3. Select a Table
    4. Configure Records
    5. Optional- Configure Typecast
    6. Optional- Configure Return Fields By Field ID
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger

Description:Emit new event when a live stream starts from any stream matching the game and language specified.
Version:0.1.2
Key:twitch-streams-by-game

Twitch Overview

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.

Trigger Code

import common from "../common-polling.mjs";
import twitch from "../../twitch.app.mjs";

export default {
  ...common,
  name: "New Streams By Game",
  key: "twitch-streams-by-game",
  description: "Emit new event when a live stream starts from any stream matching the game and language specified.",
  version: "0.1.2",
  type: "source",
  props: {
    ...common.props,
    game: {
      propDefinition: [
        twitch,
        "game",
      ],
    },
    language: {
      propDefinition: [
        twitch,
        "language",
      ],
    },
    max: {
      propDefinition: [
        twitch,
        "max",
      ],
    },
  },
  methods: {
    ...common.methods,
    getMeta({
      id,
      title: summary,
      started_at: startedAt,
    }) {
      const ts = new Date(startedAt).getTime();
      return {
        id: `${id}${ts}`,
        summary,
        ts,
      };
    },
  },
  async run() {
    const { data: gameData } = await this.twitch.getGames([
      this.game,
    ]);
    if (gameData.length == 0) {
      console.log(`No game found with the name ${this.game}`);
      return;
    }

    // get and emit streams for the specified game & language
    const streams = await this.paginate(
      this.twitch.getStreams.bind(this),
      {
        game_id: gameData[0].id,
        language: this.language,
      },
      this.max,
    );
    for await (const stream of streams) {
      this.$emit(stream, this.getMeta(stream));
    }
  },
};

Trigger Configuration

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.
LabelPropTypeDescription
TwitchtwitchappThis component uses the Twitch app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Game Titlegamestring

Watch for live streams about the specified game.

Stream Languagelanguagestring

Watch for games streamed in the specified language. A language value must be either the ISO 639-1 two-letter code for a supported stream language or "other".

Max Itemsmaxinteger

The maximum number of items to return at one time. Streams are returned sorted by number of viewers, in descending order. Videos and Clips are returned sorted by publish date.

Trigger Authentication

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:

analytics:read:extensionsanalytics:read:gamesbits:readchannel:read:subscriptionsclips:edituser:edituser:edit:broadcastuser:read:broadcastuser:read:emailuser:read:followsuser:read:blocked_usersuser:manage:blocked_usersmoderator:read:followerschannel:read:editorschannel:manage:videosuser:read:subscriptions

About Twitch

Twitch is an interactive livestreaming service for content spanning gaming, entertainment, sports, music, and more.

Action

Description:Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. [See the documentation](https://airtable.com/developers/web/api/create-records)
Version:0.0.6
Key:airtable_oauth-create-multiple-records

Airtable (OAuth) Overview

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Action Code

import chunk from "lodash.chunk";
import airtable from "../../airtable_oauth.app.mjs";
import common from "../common/common.mjs";

const BATCH_SIZE = 10; // The Airtable API allows us to update up to 10 rows per request.

export default {
  key: "airtable_oauth-create-multiple-records",
  name: "Create Multiple Records",
  description: "Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. [See the documentation](https://airtable.com/developers/web/api/create-records)",
  version: "0.0.6",
  type: "action",
  props: {
    ...common.props,
    records: {
      propDefinition: [
        airtable,
        "records",
      ],
    },
    typecast: {
      propDefinition: [
        airtable,
        "typecast",
      ],
    },
    returnFieldsByFieldId: {
      propDefinition: [
        airtable,
        "returnFieldsByFieldId",
      ],
    },
  },
  async run({ $ }) {
    const baseId = this.baseId?.value ?? this.baseId;
    const tableId = this.tableId?.value ?? this.tableId;

    let data = this.records;
    if (!Array.isArray(data)) {
      data = JSON.parse(data);
    }
    data = data.map((fields) => ({
      fields,
    }));
    if (!data.length) {
      throw new Error("No Airtable record data passed to step. Please pass at least one record");
    }

    const responses = [];
    for (const c of chunk(data, BATCH_SIZE)) {
      try {
        const records = await this.airtable.createRecord({
          baseId,
          tableId,
          data: c,
          opts: {
            typecast: this.typecast,
            returnFieldsByFieldId: this.returnFieldsByFieldId,
          },
        });
        responses.push(...records);
      } catch (err) {
        this.airtable.throwFormattedError(err);
      }
    }

    const l = responses.length;
    $.export("$summary", `Added ${l} record${l === 1
      ? ""
      : "s"} to ${this.baseId?.label || baseId}: [${this.tableId?.label || tableId}](https://airtable.com/${baseId}/${tableId})`);

    return responses;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Airtable (OAuth)airtableappThis component uses the Airtable (OAuth) app.
BasebaseIdstringSelect a value from the drop down menu.
TabletableIdstringSelect a value from the drop down menu.
Recordsrecordsstring

Provide an array of objects. Each object should represent a new record with the column name as the key and the data to insert as the corresponding value (e.g., passing [{"foo":"bar","id":123},{"foo":"baz","id":456}] will create two records and with values added to the fields foo and id). The most common pattern is to reference an array of objects exported by a previous step (e.g., {{steps.foo.$return_value}}). You may also enter or construct a string that will JSON.parse() to an array of objects.

Typecasttypecastboolean

The Airtable API will perform best-effort automatic data conversion from string values if the typecast parameter is True. Automatic conversion is disabled by default to ensure data integrity, but it may be helpful for integrating with 3rd party data sources.

Return Fields By Field IDreturnFieldsByFieldIdboolean

An optional boolean value that lets you return field objects where the key is the field id. This defaults to false, which returns field objects where the key is the field name.

Action Authentication

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

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

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable (OAuth)

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

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