Find Row With Custom Query with PostgreSQL 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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Find Row With Custom Query with the PostgreSQL API

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Getting Started#

This integration creates a workflow with a Google Analytics trigger and PostgreSQL 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 Find Row With Custom Query action
1. Connect your PostgreSQL account
2. Configure SQL Query
3. Optional- Configure Values
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:0.1.0

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: "0.1.0",
  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.edit

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#

Find Row With Custom Query on PostgreSQL

Description:Finds a row in a table via a custom query. [See the documentation](https://node-postgres.com/features/queries)

Version:2.0.6

Key:postgresql-find-row-custom-query

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Action Code#

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

export default {
  name: "Find Row With Custom Query",
  key: "postgresql-find-row-custom-query",
  description: "Finds a row in a table via a custom query. [See the documentation](https://node-postgres.com/features/queries)",
  version: "2.0.6",
  type: "action",
  props: {
    postgresql,
    query: {
      propDefinition: [
        postgresql,
        "query",
      ],
    },
    values: {
      propDefinition: [
        postgresql,
        "values",
      ],
    },
  },
  async run({ $ }) {
    const {
      query,
      values = [],
    } = this;

    if (!Array.isArray(values)) {
      throw new Error("No valid values provided. The values property must be an array.");
    }

    if (this.values) {
      const numberOfValues = query?.match(/\$/g)?.length || 0;
      if (values.length !== numberOfValues) {
        throw new Error("The number of values provided does not match the number of values in the query.");
      }
    }

    if (!query.toLowerCase().includes("select")) {
      throw new Error("Need be a `SELECT` statement query. Read more about [SELECT queries here](https://www.w3schools.com/sql/sql_select.asp)");
    }

    try {
      const res = await this.postgresql.executeQuery({
        text: query,
        values,
      });
      $.export("$summary", "Successfully executed query");
      return res;
    } catch (error) {
      let errorMsg = "Query not executed due to an error. ";
      errorMsg += `${error}`.includes("SSL verification failed")
        ? "This could be because SSL verification failed. To resolve this, reconnect your account and set SSL Verification Mode: Skip Verification, and try again."
        : `${error}`;
      throw new Error(errorMsg);
    }
  },
};

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
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
SQL Query	`query`	`string`	Your custom SQL Query using `$1`, `$2`... to represent values (eg. `INSERT INTO users(name, email) VALUES($1, $2)`
Values	`values`	`string[]`	List of values represented in your SQL Query above

Action Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.