Execute SQL Query with PostgreSQL API on New Finished Automation Run from Browserhub API

Pipedream makes it easy to connect APIs for PostgreSQL, Browserhub and 2,900+ other apps remarkably fast.

Trigger workflow on

New Finished Automation Run from the Browserhub API

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Execute SQL Query with the PostgreSQL API

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Getting Started#

This integration creates a workflow with a Browserhub 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 Finished Automation Run trigger
1. Connect your Browserhub account
2. Configure Polling interval
3. Optional- Select a Scraper ID
Configure the Execute SQL Query action
1. Connect your PostgreSQL account
2. Configure PostgreSQL Query
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 Finished Automation Run on Browserhub

Description:Emit new event when an automation run has finished running. [See the documentation](https://developer.browserhub.io/)

Version:0.0.1

Key:browserhub-new-finished-automation-run

View on GitHub

Browserhub Overview#

The Browserhub API offers automation and control over browser sessions, enabling users to create, manipulate, and extract data from web pages programmatically. Integrating Browserhub with Pipedream opens a world of possibilities for automating web interaction workflows, monitoring website changes, scraping data, and testing web applications. Pipedream's serverless platform allows for easy orchestration of API calls and data handling, making it a powerful tool for developers to harness the capabilities of Browserhub in a scalable and efficient manner.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import browserhub from "../../browserhub.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "browserhub-new-finished-automation-run",
  name: "New Finished Automation Run",
  description: "Emit new event when an automation run has finished running. [See the documentation](https://developer.browserhub.io/)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    browserhub,
    db: "$.service.db",
    timer: {
      label: "Polling interval",
      description: "Pipedream will poll the AskNicely on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    scraperId: {
      propDefinition: [
        browserhub,
        "scraperId",
      ],
      optional: true,
    },
  },
  methods: {
    _getBaseDate() {
      return this.db.get("baseDate");
    },
    _setBaseDate(baseDate = null) {
      this.db.set("baseDate", baseDate);
    },
    async startEvent(maxResults = 0) {
      const baseDate = this._getBaseDate();
      let newBaseDate = null;

      const response = this.browserhub.paginate({
        fn: this.browserhub.listRuns,
        maxResults,
        baseDate,
        params: {
          scraper_id: this.scraperId,
        },
      });

      const responseArray = [];

      for await (const item of response) {
        if (item.status === "successful") responseArray.push(item);
        if (item.status === "running") newBaseDate = item.created_at;
      }

      if (newBaseDate) this._setBaseDate(newBaseDate);
      if (!newBaseDate && responseArray.length) this._setBaseDate(responseArray[0].created_at);

      for (const item of responseArray.reverse()) {
        this.$emit(
          item,
          {
            id: item.id,
            summary: `Successfully finished automation run with ID: ${item.id}`,
            ts: item.created_at,
          },
        );
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  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
Browserhub	`browserhub`	`app`	This component uses the Browserhub app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the AskNicely on this schedule
Scraper ID	`scraperId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Browserhub#

Easy to use no-code web scraping and data extraction software.

Action#

Execute SQL Query on PostgreSQL

Description:Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:3.0.5

Key:postgresql-execute-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: "Execute SQL Query",
  key: "postgresql-execute-custom-query",
  description: "Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  version: "3.0.5",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    postgresql,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      label: "PostgreSQL Query",
    },
  },
  async run({ $ }) {
    const args = this.postgresql.executeQueryAdapter(this.sql);
    const data = await this.postgresql.executeQuery(args);
    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);
    return data;
  },
};

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.
PostgreSQL Query	`sql`	`sql`

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