Scrape URL Autoparse with ZenRows API on New Database from MongoDB API

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New Database from the MongoDB API

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Scrape URL Autoparse with the ZenRows API

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Getting Started#

This integration creates a workflow with a MongoDB trigger and ZenRows action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Database trigger
1. Connect your MongoDB account
2. Configure Polling Interval
Configure the Scrape URL Autoparse action
1. Connect your ZenRows account
2. Configure URL
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 Database on MongoDB

Description:Emit new an event when a new database is added

Version:0.0.7

Key:mongodb-new-database

View on GitHub

MongoDB Overview#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "mongodb-new-database",
  name: "New Database",
  description: "Emit new an event when a new database is added",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    _getDbNames() {
      return this.db.get("dbNames");
    },
    _setDbNames(dbNames) {
      this.db.set("dbNames", dbNames);
    },
    isRelevant({ name }, dbNames) {
      return !dbNames.includes(name);
    },
    async processEvent(client, ts) {
      const dbNames = this._getDbNames() || [];
      const databases = await this.mongodb.listDatabases(client);
      for (const db of databases) {
        if (!this.isRelevant(db, dbNames)) {
          continue;
        }
        dbNames.push(db.name);
        this.emitEvent(db, ts);
      }
      this._setDbNames(dbNames);
    },
    generateMeta({ name }, ts) {
      return {
        id: name,
        summary: name,
        ts,
      };
    },
  },
};

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
MongoDB	`mongodb`	`app`	This component uses the MongoDB 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 API on this schedule

Trigger Authentication#

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

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

About MongoDB#

MongoDB is an open source NoSQL database management program.

Action#

Scrape URL Autoparse on ZenRows

Description:Scrape HTML of the URL. [See the documentation](https://www.zenrows.com/docs#autoparse-curl)

Version:0.0.1

Key:zenrows-scrape-url-autoparse

View on GitHub

ZenRows Overview#

ZenRows API specializes in web scraping and handles issues like CAPTCHAs, JavaScript rendering, and rotating proxies to ensure successful data extraction. In Pipedream, you can pair the ZenRows API with numerous other services to create automated workflows that respond to events, process and analyze scraped data, or even trigger actions based on the data collected. Whether you need to monitor changes on web pages, aggregate content for analysis, or feed scraped data into other applications, ZenRows' integration on Pipedream simplifies these tasks.

Action Code#

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

export default {
  name: "Scrape URL Autoparse",
  version: "0.0.1",
  key: "zenrows-scrape-url-autoparse",
  description: "Scrape HTML of the URL. [See the documentation](https://www.zenrows.com/docs#autoparse-curl)",
  type: "action",
  props: {
    app,
    url: {
      propDefinition: [
        app,
        "url",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.app.scrapeUrl({
      $,
      params: {
        url: this.url,
        autoparse: true,
      },
    });

    if (response) {
      $.export("$summary", `Successfully retrieved HTML from URL \`${this.url}\``);
    }

    return response;
  },
};