Launch Phantom with Phantombuster API on Recording Completed (Instant) from Zoom API

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Recording Completed (Instant) from the Zoom API

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Launch Phantom with the Phantombuster API

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Getting Started#

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

Select this integration
Configure the Recording Completed (Instant) trigger
1. Connect your Zoom account
2. Optional- Select one or more Meeting Filter
3. Optional- Configure Include Audio Recordings
4. Optional- Configure Include Chat Transcripts
5. Configure apphook
Configure the Launch Phantom action
1. Connect your Phantombuster account
2. Select a Agent ID
3. Optional- Configure Arguments
4. Optional- Configure Save Arguments
5. Optional- Configure Bonus Argument
6. Optional- Configure Manual Launch
7. Optional- Configure Max Instance Count
Deploy the workflow
Send a test event to validate your setup
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#

Recording Completed (Instant) on Zoom

Description:Emit new event each time a new recording completes for a meeting or webinar where you're the host

Version:0.1.3

Key:zoom-recording-completed

View on GitHub

Zoom Overview#

The Zoom API lets you tap into a rich set of functionalities to enhance the video conferencing experience within your own app or workflow. With the Zoom API on Pipedream, you can automatically create meetings, manage users, send meeting notifications, and more, orchestrating these actions within a broader automation. This allows for seamless integration with other services, enabling both data collection and action triggers based on Zoom events.

Pipedream workflows allow you to run any Node.js code that connects to the Zoom API. Just create a new workflow, then add prebuilt Zoom actions (create a meeting, send a chat message, etc.) or write your own code. These workflows can be triggered by HTTP requests, timers, email, or on any app-based event (new tweets, a Github PR, Zoom events, etc).

Trigger Code#

import common from "../common/common.mjs";
import constants from "../common/constants.mjs";

export default {
  ...common,
  key: "zoom-recording-completed",
  name: "Recording Completed (Instant)",
  description: "Emit new event each time a new recording completes for a meeting or webinar where you're the host",
  version: "0.1.3",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    meetingIds: {
      type: "integer[]",
      label: "Meeting Filter",
      description: "Optionally filter for events for one or more meetings",
      propDefinition: [
        common.props.app,
        "meetingId",
      ],
    },
    includeAudioRecordings: {
      propDefinition: [
        common.props.app,
        "includeAudioRecordings",
      ],
    },
    includeChatTranscripts: {
      propDefinition: [
        common.props.app,
        "includeChatTranscripts",
      ],
    },
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    apphook: {
      type: "$.interface.apphook",
      appProp: "app",
      eventNames() {
        return [
          constants.CUSTOM_EVENT_TYPES.RECORDING_COMPLETED,
        ];
      },
    },
  },
  hooks: {
    async deploy() {
      const { meetings } = await this.app.listRecordings({
        params: {
          from: this.monthAgo(),
          to: new Date().toISOString()
            .slice(0, 10),
          page_size: 25,
        },
      });
      if (!meetings || meetings.length === 0) {
        return;
      }
      for (const meeting of meetings) {
        if (!this.isMeetingRelevant(meeting)) {
          continue;
        }
        for (const file of meeting.recording_files) {
          if (!this.isFileRelevant(file)) {
            continue;
          }
          this.emitEvent(file, meeting);
        }
      }
    },
  },
  methods: {
    ...common.methods,
    isMeetingRelevant(meeting) {
      const {
        id, recording_files,
      } = meeting;

      if (!recording_files || recording_files.length === 0) {
        console.log("No files in recording. Exiting");
        return false;
      }

      if (this.meetingIds && this.meetingIds.length > 0 && !this.meetingIds.includes(id)) {
        console.log("Meeting ID does not match the filter rules.");
        return false;
      }
      return true;
    },
    isFileRelevant(file) {
      return !((file.status !== "completed")
        || (file.file_type === "M4A" && !this.includeAudioRecordings)
        || (file.file_type === "CHAT" && !this.includeChatTranscripts));
    },
    emitEvent(file, meeting, downloadToken = null) {
      this.$emit(
        {
          download_url_with_token: `${file.download_url}?access_token=${downloadToken}`,
          download_token: downloadToken,
          ...file,
          meeting_id_long: meeting.id, // Long ID is necessary for certain API operations
          meeting_topic: meeting.topic,
          host_id: meeting.host_id,
          host_email: meeting.host_email,
        },
        {
          id: file.id,
          summary: `${meeting.topic} — ${file.file_type}`,
          ts: +new Date(file.recording_end),
        },
      );
    },
  },
  async run(event) {
    if (event.event !== constants.CUSTOM_EVENT_TYPES.RECORDING_COMPLETED) {
      console.log("Not a recording.completed event. Exiting");
      return;
    }
    const { payload } = event;
    const {
      object,
      download_token: downloadToken,
    } = payload;
    const { recording_files: recordingFiles } = object;

    if (!this.isMeetingRelevant(object)) {
      return;
    }

    for (const file of recordingFiles) {
      if (!this.isFileRelevant(file)) {
        continue;
      }

      this.emitEvent(file, object, downloadToken);
    }
  },
};

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.

Label	Prop	Type	Description
Zoom	`app`	`app`	This component uses the Zoom app.
Meeting Filter	`meetingIds`	`integer[]`	Select a value from the drop down menu.
Include Audio Recordings	`includeAudioRecordings`	`boolean`	This source emits video (MP4) recordings only by default. Set this prop to true to include audio recordings
Include Chat Transcripts	`includeChatTranscripts`	`boolean`	This source emits video (MP4) recordings only by default. Set this prop to `true` to include chat transcripts
	`apphook`	`$.interface.apphook`

Trigger Authentication#

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

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

About Zoom#

Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.

Action#

Launch Phantom on Phantombuster

Description:Adds an agent to the launch queue, [See the docs](https://hub.phantombuster.com/reference/post_agents-launch-1)

Version:0.0.1

Key:phantombuster-launch-phantom

View on GitHub

Phantombuster Overview#

Phantombuster is a tool that lets you automate interactions with web platforms to extract data, manage social media campaigns, and automate web actions. Using its API on Pipedream, you can seamlessly integrate these automation capabilities into complex workflows. Imagine orchestrating a symphony where Phantombuster plays the strings—pulling data from LinkedIn, sending tailored tweets, or automating lead generation—while Pipedream conducts, integrating these actions with other apps and services for a harmonious data-driven performance.

Action Code#

import app from "../../phantombuster.app.mjs";

export default {
  type: "action",
  key: "phantombuster-launch-phantom",
  version: "0.0.1",
  name: "Launch Phantom",
  description: "Adds an agent to the launch queue, [See the docs](https://hub.phantombuster.com/reference/post_agents-launch-1)",
  props: {
    app,
    agentId: {
      propDefinition: [
        app,
        "agentId",
      ],
    },
    arguments: {
      type: "string",
      label: "Arguments",
      description: "Agent arguments. Must be a JSON string, e.g. `{\"key1\": \"Value 1\", \"key2\": \"Value 2\"}`",
      optional: true,
    },
    saveArguments: {
      type: "boolean",
      label: "Save Arguments",
      description: "If true, argument will be saved as the default launch options for the agent.",
      optional: true,
    },
    bonusArgument: {
      type: "string",
      label: "Bonus Argument",
      description: "Agent bonus argument. This bonus argument is single-use, it will only be used for the current launch. Must be a JSON string, e.g. `{\"key1\": \"Value 1\", \"key2\": \"Value 2\"}`",
      optional: true,
    },
    manualLaunch: {
      type: "boolean",
      label: "Manual Launch",
      description: "If set, the agent will be considered as `launched manually`.",
      optional: true,
    },
    maxInstanceCount: {
      type: "integer",
      label: "Max Instance Count",
      description: "If set, the agent will only be launched if the number of already running instances is below the specified number.",
      optional: true,
    },
  },
  async run ({ $ }) {
    const resp = await this.app.launchPhantom({
      $,
      data: {
        id: this.agentId,
        arguments: this.arguments,
        saveArguments: this.saveArguments,
        bonusArgument: this.bonusArgument,
        manualLaunch: this.manualLaunch,
        maxInstanceCount: this.maxInstanceCount,
      },
    });
    $.export("$summary", `Phantom has been launched succesfully. Container ID(${resp.containerId})`);
    return resp;
  },
};

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.

Label	Prop	Type	Description
Phantombuster	`app`	`app`	This component uses the Phantombuster app.
Agent ID	`agentId`	`string`	Select a value from the drop down menu.
Arguments	`arguments`	`string`	Agent arguments. Must be a JSON string, e.g. `{"key1": "Value 1", "key2": "Value 2"}`
Save Arguments	`saveArguments`	`boolean`	If true, argument will be saved as the default launch options for the agent.
Bonus Argument	`bonusArgument`	`string`	Agent bonus argument. This bonus argument is single-use, it will only be used for the current launch. Must be a JSON string, e.g. `{"key1": "Value 1", "key2": "Value 2"}`
Manual Launch	`manualLaunch`	`boolean`	If set, the agent will be considered as `launched manually`.
Max Instance Count	`maxInstanceCount`	`integer`	If set, the agent will only be launched if the number of already running instances is below the specified number.

Action Authentication#

Phantombuster uses API keys for authentication. When you connect your Phantombuster account, Pipedream securely stores the keys so you can easily authenticate to Phantombuster APIs in both code and no-code steps.

Your API key resides in your Phantombuster Org settings page. This page is also accessible through your navbar's menu, under the label "Org settings". Please notice that for security reasons, you key will only be shown once, on creation. You better copy it in a safe place before refreshing or leaving the page.

Launch Phantom with Phantombuster API on Recording Completed (Instant) from Zoom API

Pipedream makes it easy to connect APIs for Phantombuster, Zoom and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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