Run Report in GA4 with Google Analytics API on New Field Created (Instant) from Airtable API

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New Field Created (Instant) from the Airtable 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 Airtable 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 Field Created (Instant) trigger
1. Connect your Airtable account
2. Select a Base
3. Optional- Select a Table
4. Optional- Select a View
5. Optional- Select one or more From Sources
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 Field Created (Instant) on Airtable

Description:Emit new event when a field is created in the selected table. [See the documentation](https://airtable.com/developers/web/api/get-base-schema)

Version:1.0.3

Key:airtable_oauth-new-field

View on GitHub

Airtable 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.

Trigger Code#

import common from "../common/common-webhook-field.mjs";

export default {
  ...common,
  name: "New Field Created (Instant)",
  description: "Emit new event when a field is created in the selected table. [See the documentation](https://airtable.com/developers/web/api/get-base-schema)",
  key: "airtable_oauth-new-field",
  version: "1.0.3",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getChangeTypes() {
      return [
        "add",
      ];
    },
  },
};

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
Airtable	`airtable`	`app`	This component uses the Airtable app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Base	`baseId`	`string`	Select a value from the drop down menu.
Table	`tableId`	`string`	Select a value from the drop down menu.
View	`viewId`	`string`	Select a value from the drop down menu.
From Sources	`fromSources`	`string[]`	Select a value from the drop down menu:`{ "value": "client", "label": "Changes generated by a user through the web or mobile clients" }{ "value": "publicApi", "label": "Changes generated through the Airtable API" }{ "value": "formSubmission", "label": "Changes generated when a form view is submitted" }{ "value": "formPageSubmission", "label": "Changes generated when an interface form builder page, form layout page, or record creation button page is submitted" }{ "value": "automation", "label": "Changes generated through an automation action" }{ "value": "system", "label": "Changes generated by system events, such as processing time function formulas" }{ "value": "sync", "label": "Changes generated through Airtable Sync" }{ "value": "anonymousUser", "label": "Changes generated by an anonymous user" }{ "value": "unknown", "label": "Unknown" }`

Trigger Authentication#

Airtable uses OAuth authentication. When you connect your Airtable account, Pipedream will open a popup window where you can sign into Airtable 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 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#

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

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.edithttps://www.googleapis.com/auth/analytics.readonly

Run Report in GA4 with Google Analytics API on New Field Created (Instant) from Airtable API

Pipedream makes it easy to connect APIs for Google Analytics, Airtable and 2,700+ other apps remarkably fast.

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

Developers ♥ Pipedream

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