Run Report in GA4 with Google Analytics API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack API

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Run Report in GA4 with the Google Analytics API

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Getting Started#

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

Select this integration
Configure the New Message In Channels (Instant) trigger
1. Connect your Slack account
2. Optional- Select one or more Channels
3. Configure slackApphook
4. Optional- Configure Resolve Names
5. Optional- Configure Ignore Bots
6. Optional- Configure Ignore replies in threads
Configure the Run Report in GA4 action
1. Connect your Google Analytics account
2. Configure Property
3. Configure Start Date
4. Configure End Date
5. Configure Metrics
6. Optional- Configure Dimensions
7. Optional- Configure Dimension filter
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#

New Message In Channels (Instant) on Slack

Description:Emit new event when a new message is posted to one or more channels

Version:1.0.22

Key:slack-new-message-in-channels

View on GitHub

Slack Overview#

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.

Automate posting updates to your team channels
Create a bot to answer common questions
Integrate with your existing tools and services
And much more!

Trigger Code#

import common from "../common/base.mjs";
import constants from "../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.22",
  description: "Emit new event when a new message is posted to one or more channels",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // This source is designed to just emit an event for each new message received.
        // Due to inconsistencies with the shape of message_changed and message_deleted
        // events, we are ignoring them for now. If you want to handle these types of
        // events, feel free to change this code!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      return event;
    },
  },
  sampleEmit,
};

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
Slack	`slack`	`app`	This component uses the Slack app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Channels	`conversations`	`string[]`	Select a value from the drop down menu.
	`slackApphook`	`$.interface.apphook`
Resolve Names	`resolveNames`	`boolean`	Instead of returning `channel`, `team`, and `user` as IDs, return their human-readable names.
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots
Ignore replies in threads	`ignoreThreads`	`boolean`	Ignore replies to messages in threads

Trigger Authentication#

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

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

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack#

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.

Action#

Run Report in GA4 on Google Analytics

Description:Returns a customized report of your Google Analytics event data. Reports contain statistics derived from data collected by the Google Analytics tracking code. [See the documentation here](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport)

Version:0.1.0

Key:google_analytics-run-report-in-ga4

View on GitHub

Google Analytics Overview#

The Google Analytics API unlocks the power of your analytics data, enabling automated access to custom reports, real-time statistics, and user behavior analysis. With it, you can extract actionable insights, push data to other platforms, and tailor your business strategy with precision. Leveraging Pipedream's serverless platform, these capabilities can be seamlessly integrated into workflows that trigger actions in other apps, send alerts, or even feed data warehouses for deeper analysis.

Action Code#

import analytics from "../../google_analytics.app.mjs";

export default {
  key: "google_analytics-run-report-in-ga4",
  version: "0.1.0",
  name: "Run Report in GA4",
  description: "Returns a customized report of your Google Analytics event data. Reports contain statistics derived from data collected by the Google Analytics tracking code. [See the documentation here](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport)",
  type: "action",
  props: {
    analytics,
    property: {
      type: "string",
      label: "Property",
      description: "A Google Analytics GA4 property identifier whose events are tracked. Specified in the URL path and not the body. To learn more, [see where to find your Property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id). Within a batch request, this property should either be unspecified or consistent with the batch-level property.",
    },
    startDate: {
      type: "string",
      label: "Start Date",
      description: "Start date in YYYY-MM-DD format",
    },
    endDate: {
      type: "string",
      label: "End Date",
      description: "End date in YYYY-MM-DD format",
    },
    metrics: {
      type: "string[]",
      label: "Metrics",
      description: "Metrics attributes for your data. Explore the available metrics [here](https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema#metrics)",
    },
    dimensions: {
      type: "string[]",
      label: "Dimensions",
      description: "Dimension attributes for your data. Explore the available dimensions [here](https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema#dimensions)",
      optional: true,
    },
    dimensionFilter: {
      type: "object",
      label: "Dimension filter",
      description: "Dimension filters let you ask for only specific dimension values in the report. Read more about dimension filters [here](https://developers.google.com/analytics/devguides/reporting/data/v1/basics#dimension_filters)",
      optional: true,
    },
  },
  async run({ $ }) {
    const metrics = this.metrics || [];
    const dimensions = this.dimensions || [];

    const dimensionFilter = typeof this.dimensionFilter === "string"
      ? JSON.parse(this.dimensionFilter)
      : this.dimensionFilter;

    const data = {
      dateRanges: [
        {
          startDate: this.startDate,
          endDate: this.endDate,
        },
      ],
      dimensions: dimensions.map((dimension) => ({
        name: dimension,
      })),
      metrics: metrics.map((metric) => ({
        name: metric,
      })),
      dimensionFilter: dimensionFilter,
    };
    const report = await this.analytics.queryReportsGA4({
      property: this.property,
      data,
    });
    $.export("$summary", `Successfully retrieved report for the property ${this.property}`);
    return report;
  },
};

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
Google Analytics	`analytics`	`app`	This component uses the Google Analytics app.
Property	`property`	`string`	A Google Analytics GA4 property identifier whose events are tracked. Specified in the URL path and not the body. To learn more, see where to find your Property ID. Within a batch request, this property should either be unspecified or consistent with the batch-level property.
Start Date	`startDate`	`string`	Start date in YYYY-MM-DD format
End Date	`endDate`	`string`	End date in YYYY-MM-DD format
Metrics	`metrics`	`string[]`	Metrics attributes for your data. Explore the available metrics here
Dimensions	`dimensions`	`string[]`	Dimension attributes for your data. Explore the available dimensions here
Dimension filter	`dimensionFilter`	`object`	Dimension filters let you ask for only specific dimension values in the report. Read more about dimension filters here

Action Authentication#

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

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

emailprofilehttps://www.googleapis.com/auth/analytics.edit

Run Report in GA4 with Google Analytics API on New Message In Channels (Instant) from Slack API

Pipedream makes it easy to connect APIs for Google Analytics, Slack 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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