Run Report in GA4 with Google Analytics API on New Monitor Run Completed from Postman API

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New Monitor Run Completed from the Postman 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 Postman 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 Monitor Run Completed trigger
1. Connect your Postman account
2. Configure timer
3. Select a Monitor ID
Configure the Run Report in GA4 action
1. Connect your Google Analytics account
2. Select a 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 Monitor Run Completed on Postman

Description:Emit new event when a monitor run is completed. [See the documentation](https://learning.postman.com/docs/monitoring-your-api/intro-monitors/)

Version:0.0.1

Key:postman-monitor-run-completed

View on GitHub

Postman Overview#

The Postman API enables you to automate tasks within your Postman collections, such as running collections, fetching and updating environments, and integrating your API development workflow into your CI/CD pipeline. Using Pipedream, you can harness this functionality to create custom workflows that trigger on various events, process data, and connect with other apps, extending the capabilities of your API testing and development processes.

Trigger Code#

import postman from "../../postman.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "postman-monitor-run-completed",
  name: "New Monitor Run Completed",
  description: "Emit new event when a monitor run is completed. [See the documentation](https://learning.postman.com/docs/monitoring-your-api/intro-monitors/)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    postman,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: 60,
      },
    },
    monitorId: {
      propDefinition: [
        postman,
        "monitorId",
      ],
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") || new Date("1970-01-01");
    },
    _setLastDate(lastDate) {
      this.db.set("lastDate", lastDate);
    },
    async startEvent() {
      const lastDate = this._getLastDate();

      const { monitor } = await this.postman.getMonitor({
        monitorId: this.monitorId,
      });

      if (monitor.lastRun?.status === "success" && new Date(monitor.lastRun.startedAt) > new Date(lastDate)) {
        this._setLastDate(monitor.lastRun.startedAt);
        this.emitEvent(monitor);
      }
    },
    emitEvent(monitor) {
      this.$emit(monitor, {
        id: monitor.id + monitor.lastRun.startedAt,
        summary: `Monitor Run Completed: ${monitor.name}`,
        ts: Date.parse(monitor.lastRun.finishedAt),
      });
    },
  },
  async run() {
    await this.startEvent();
  },
  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
Postman	`postman`	`app`	This component uses the Postman app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Monitor ID	`monitorId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

To retrieve your API key,

Navigate to your Postman account and sign in
Go to your Integration Dashboard
Click "Generate API Key", and copy and paste it below.

About Postman#

Postman is the world's leading API platform.

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](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport)

Version:0.1.2

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: "0.1.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  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](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport)",
  type: "action",
  props: {
    analytics,
    property: {
      propDefinition: [
        analytics,
        "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 property = this.property.match(/\d+/)[0];
    const report = await this.analytics.queryReportsGA4({
      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`	Select a value from the drop down menu.
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.edithttps://www.googleapis.com/auth/analytics.readonly