Scrape Single URL with Apify API on New Document from MongoDB API

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New Document from the MongoDB API

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Scrape Single URL with the Apify API

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Getting Started#

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

Select this integration
Configure the New Document trigger
1. Connect your MongoDB account
2. Configure Polling Interval
3. Select a Database
4. Select a Collection
5. Configure Timestamp Field
Configure the Scrape Single URL action
1. Connect your Apify account
2. Configure URL
3. Select a Crawler Type
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 Document on MongoDB

Description:Emit new an event when a new document is added to a collection

Version:0.0.9

Key:mongodb-new-document

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";
import { Timestamp } from "mongodb";

export default {
  ...common,
  key: "mongodb-new-document",
  name: "New Document",
  description: "Emit new an event when a new document is added to a collection",
  version: "0.0.9",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    database: {
      propDefinition: [
        common.props.mongodb,
        "database",
      ],
    },
    collection: {
      propDefinition: [
        common.props.mongodb,
        "collection",
        (c) => ({
          database: c.database,
        }),
      ],
    },
    timestampField: {
      type: "string",
      label: "Timestamp Field",
      description: "The key of a timestamp field, such as 'created_at' that is set to the current timestamp when a document is created. Must be of type Timestamp.",
    },
  },
  hooks: {
    async deploy() {
      const client = await this.mongodb.getClient();
      await this.processEvent(client, Date.now(), 25);
      await client.close();
    },
  },
  methods: {
    ...common.methods,
    _getLastTs() {
      return this.db.get("lastTs");
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    getTs(doc) {
      try {
        return JSON.parse(doc[this.timestampField]);
      } catch {
        return doc[this.timestampField];
      }
    },
    convertToTimestamp(timestampStr) {
      const bigIntValue = BigInt(timestampStr);
      const seconds = Number(bigIntValue >> 32n);
      const increment = Number(bigIntValue & 0xFFFFFFFFn);
      return new Timestamp({
        t: seconds,
        i: increment,
      });
    },
    async processEvent(client, eventTs, max) {
      const lastTs = this._getLastTs() || 0;
      let maxTs = lastTs;
      let count = 0;
      const collection = this.mongodb.getCollection(client, this.database, this.collection);
      const sort = {
        [this.timestampField]: -1,
      };
      const query = {
        [this.timestampField]: {
          $gt: this.convertToTimestamp(lastTs),
        },
      };
      const documents = await collection.find(query).sort(sort)
        .toArray();
      const docs = [];
      for (const doc of documents) {
        const ts = this.getTs(doc);
        if (!(ts > lastTs) || (max && count >= max)) {
          break;
        }
        if (ts > maxTs) {
          maxTs = ts;
        }
        docs.push(doc);
        count++;
      }
      docs.reverse().forEach((doc) => this.emitEvent(doc, eventTs));
      this._setLastTs(maxTs);
    },
    generateMeta({ _id: id }, ts) {
      return {
        id,
        summary: `New Document ID ${JSON.stringify(id)}`,
        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
Database	`database`	`string`	Select a value from the drop down menu.
Collection	`collection`	`string`	Select a value from the drop down menu.
Timestamp Field	`timestampField`	`string`	The key of a timestamp field, such as 'created_at' that is set to the current timestamp when a document is created. Must be of type Timestamp.

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 Single URL on Apify

Description:Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.

Version:0.0.1

Key:apify-scrape-single-url

View on GitHub

Apify Overview#

The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.

Action Code#

import apify from "../../apify.app.mjs";
import { ACTOR_ID } from "../../common/constants.mjs";

export default {
  key: "apify-scrape-single-url",
  name: "Scrape Single URL",
  description: "Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.",
  version: "0.0.1",
  type: "action",
  props: {
    apify,
    url: {
      type: "string",
      label: "URL",
      description: "The URL of the web page to scrape.",
      optional: false,
    },
    crawlerType: {
      type: "string",
      label: "Crawler Type",
      description: "Select the crawling engine:\n- **Headless web browser** - Useful for modern websites with anti-scraping protections and JavaScript rendering. It recognizes common blocking patterns like CAPTCHAs and automatically retries blocked requests through new sessions. However, running web browsers is more expensive as it requires more computing resources and is slower. It is recommended to use at least 8 GB of RAM.\n- **Stealthy web browser** (default) - Another headless web browser with anti-blocking measures enabled. Try this if you encounter bot protection while scraping. For best performance, use with Apify Proxy residential IPs. \n- **Raw HTTP client** - High-performance crawling mode that uses raw HTTP requests to fetch the pages. It is faster and cheaper, but it might not work on all websites.",
      options: [
        {
          label: "Headless browser (stealthy Firefox+Playwright) - Very reliable, best in avoiding blocking, but might be slow",
          value: "playwright:firefox",
        },
        {
          label: "Headless browser (Chrome+Playwright) - Reliable, but might be slow",
          value: "playwright:chrome",
        },
        {
          label: "Raw HTTP client (Cheerio) - Extremely fast, but cannot handle dynamic content",
          value: "cheerio",
        },
      ],
    },
  },
  async run({ $ }) {
    const response = await this.apify.runActor({
      $,
      actorId: ACTOR_ID,
      data: {
        crawlerType: this.crawlerType,
        maxCrawlDepth: 0,
        maxCrawlPages: 1,
        maxResults: 1,
        startUrls: [
          {
            url: this.url,
          },
        ],
      },
    });
    $.export("$summary", `Successfully scraped content from ${this.url}`);
    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
Apify	`apify`	`app`	This component uses the Apify app.
URL	`url`	`string`	The URL of the web page to scrape.
Crawler Type	`crawlerType`	`string`	Select a value from the drop down menu:`{ "label": "Headless browser (stealthy Firefox+Playwright) - Very reliable, best in avoiding blocking, but might be slow", "value": "playwright:firefox" }{ "label": "Headless browser (Chrome+Playwright) - Reliable, but might be slow", "value": "playwright:chrome" }{ "label": "Raw HTTP client (Cheerio) - Extremely fast, but cannot handle dynamic content", "value": "cheerio" }`

Scrape Single URL with Apify API on New Document from MongoDB API

Pipedream makes it easy to connect APIs for Apify, MongoDB and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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