Update Row with Zoho Analytics API on New Page Opened from Google Analytics API

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New Page Opened from the Google Analytics API

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Update Row with the Zoho Analytics API

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Getting Started#

This integration creates a workflow with a Google Analytics trigger and Zoho 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 Page Opened trigger
1. Connect your Google Analytics account
2. Configure timer
3. Configure View Id
Configure the Update Row action
1. Connect your Zoho Analytics account
2. Select a Workspace Id
3. Select a View Id
4. Configure Columns
5. Optional- Configure Update All Rows
6. Optional- Configure Date Format
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 Page Opened on Google Analytics

Description:Emit new event when a page is viewed

Version:0.1.1

Key:google_analytics-page-opened

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.

Trigger Code#

import analytics from "../../google_analytics.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import utils from "../../common/utils.mjs";

export default {
  key: "google_analytics-page-opened",
  version: "0.1.1",
  name: "New Page Opened",
  description: "Emit new event when a page is viewed",
  type: "source",
  dedupe: "unique",
  props: {
    analytics,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    viewId: {
      propDefinition: [
        analytics,
        "viewId",
      ],
    },
  },
  hooks: {
    async deploy() {
      const startDate = utils.monthAgo();
      this._setStartDate(startDate);
      await this.processEvent();
    },
  },
  methods: {
    _getPageViews() {
      return this.db.get("pageViews");
    },
    _setPageViews(pageViews) {
      this.db.set("pageViews", pageViews);
    },
    _getStartDate() {
      return this.db.get("startDate");
    },
    _setStartDate(startDate) {
      this.db.set("startDate", startDate);
    },
    generateMeta(pageViews, startDate) {
      const ts = Date.now();
      return {
        id: ts,
        summary: `${pageViews} page views since ${startDate}`,
        ts,
      };
    },
    async processEvent() {
      const startDate = this._getStartDate();
      const data = {
        resource: {
          reportRequests: [
            {
              viewId: this.viewId,
              dateRanges: [
                {
                  startDate,
                  endDate: "today",
                },
              ],
              metrics: [
                {
                  expression: "ga:pageviews",
                },
              ],
            },
          ],
        },
      };
      const { data: report } = await this.analytics.queryReports(data);

      const previousPageViews = this._getPageViews();
      const pageViews = report.reports[0].data.totals[0].values[0];

      if (!previousPageViews || pageViews > previousPageViews) {
        this._setPageViews(pageViews);
        const meta = this.generateMeta(pageViews, startDate);
        this.$emit(report, meta);
      }
    },
  },
  async run() {
    await this.processEvent();
  },
};

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
Google Analytics	`analytics`	`app`	This component uses the Google Analytics app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
View Id	`viewId`	`string`	ID of the view to monitor. Can be found on your Google Analytics Dashboard -> Admin -> View Setting

Trigger 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

About Google Analytics#

Google Analytics enables you to measure and report on user activity on websites, web and mobile apps, and internet-connected devices.

Action#

Update Row on Zoho Analytics

Description:Update rows in the specified table. [See the documentation](https://www.zoho.com/analytics/api/v2/#update-row)

Version:0.0.2

Key:zoho_analytics-update-row

View on GitHub

Zoho Analytics Overview#

The Zoho Analytics API lets you harness the power of your data by automating complex analytics tasks. With this API, you can create, access, and manage reports, dashboards, and KPI widgets programmatically. Integrate with Pipedream's serverless platform to trigger actions based on events, sync data across apps, and automate workflows without managing servers. Whether it's updating datasets in real-time or sending reports to your team, the possibilities stretch as wide as your data does.

Action Code#

import { parseOne } from "../../common/utils.mjs";
import zohoAnalytics from "../../zoho_analytics.app.mjs";

export default {
  key: "zoho_analytics-update-row",
  name: "Update Row",
  version: "0.0.2",
  annotations: {
    destructiveHint: true,
    openWorldHint: true,
    readOnlyHint: false,
  },
  description: "Update rows in the specified table. [See the documentation](https://www.zoho.com/analytics/api/v2/#update-row)",
  type: "action",
  props: {
    zohoAnalytics,
    workspaceId: {
      propDefinition: [
        zohoAnalytics,
        "workspaceId",
      ],
    },
    viewId: {
      propDefinition: [
        zohoAnalytics,
        "viewId",
        ({ workspaceId }) => ({
          workspaceId,
        }),
      ],
      withLabel: true,
    },
    columns: {
      propDefinition: [
        zohoAnalytics,
        "columns",
      ],
    },
    updateAllRows: {
      type: "boolean",
      label: "Update All Rows",
      description: "To update all the rows in the table.",
      optional: true,
      reloadProps: true,
    },
    dateFormat: {
      propDefinition: [
        zohoAnalytics,
        "dateFormat",
      ],
      optional: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.updateAllRows) {
      props.criteria = {
        type: "object",
        label: "Criteria",
        description: "If criteria is sent, then the rows matching the criteria alone are updated. Refer this [link](https://www.zoho.com/analytics/api/v2/index.html#applying-filter-criteria) for more details about how to construct a criteria.",
      };
    }
    return props;
  },
  async run({ $ }) {
    const {
      zohoAnalytics,
      workspaceId,
      viewId,
      criteria,
      ...data
    } = this;

    if (criteria) {
      let query = "1=1";

      Object.entries(parseOne(criteria)).map(([
        key,
        value,
      ]) => (
        query += `and "${viewId.label}"."${key}"='${value}'`
      ));

      data.criteria = query;
    }

    const response = await zohoAnalytics.updateRow({
      $,
      workspaceId,
      viewId: viewId.value,
      params: {
        CONFIG: JSON.stringify(data),
      },
    });

    const length = response.data.updatedRows;

    $.export("$summary", `${length} row${length > 1
      ? "s where"
      : " was"} successfully updated!`);

    return response;
  },
};

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
Zoho Analytics	`zohoAnalytics`	`app`	This component uses the Zoho Analytics app.
Workspace Id	`workspaceId`	`string`	Select a value from the drop down menu.
View Id	`viewId`	`string`	Select a value from the drop down menu.
Columns	`columns`	`object`	JSONObject with column name as key and data as value. `Sample:` {"columnName1":"value1","columnName2":"value2"}
Update All Rows	`updateAllRows`	`boolean`	To update all the rows in the table.
Date Format	`dateFormat`	`string`	Specify this in-case any date field is being added and its format cannot be auto recognized. `Sample: dd-MMM-YYYY`. Refer this link for more details about how to construct a custom date format.

Action Authentication#

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

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

ZohoAnalytics.data.createZohoAnalytics.data.deleteZohoAnalytics.data.readZohoAnalytics.data.updateZohoAnalytics.metadata.readZohoAnalytics.usermanagement.readZohoAnalytics.modeling.create

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Popular Triggers#

New Page Opened from the Google Analytics API

Emit new event when a page is viewed

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Popular Actions#

Create GA4 Property with the Google Analytics API

Creates a new GA4 property. See the documentation

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Create Key Event with the Google Analytics API

Creates a new key event. See the documentation

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Run Report with the Google Analytics API

Return report metrics based on a start and end date. See the documentation

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Run Report in GA4 with the Google Analytics API

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

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Add Row with the Zoho Analytics API

Add a single row in the specified table. See the documentation

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