ScrapingBot

Best web scraping APIs to extract HTML content without getting blocked.

Integrate the ScrapingBot API with the MySQL API

Setup the ScrapingBot API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate ScrapingBot and MySQL remarkably fast. Free for developers.

Get Social Media Scraping Data with ScrapingBot API on New Column from MySQL API
MySQL + ScrapingBot
 
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Get Social Media Scraping Data with ScrapingBot API on New or Updated Row from MySQL API
MySQL + ScrapingBot
 
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Get Social Media Scraping Data with ScrapingBot API on New Row (Custom Query) from MySQL API
MySQL + ScrapingBot
 
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Get Social Media Scraping Data with ScrapingBot API on New Row from MySQL API
MySQL + ScrapingBot
 
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Get Social Media Scraping Data with ScrapingBot API on New Table from MySQL API
MySQL + ScrapingBot
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Get Social Media Scraping Data with the ScrapingBot API

Retrieve data from a social media scraping job by responseId. See the documentation

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Request Social Media Scraping with the ScrapingBot API

Use ScrapingBot API to initiate scraping data from a social media site. See the documentation

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Scrape Search Engine with the ScrapingBot API

Use ScrapingBot API to extract specific data from Google or Bing search results. See the documentation

 
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Overview of ScrapingBot

ScrapingBot API on Pipedream allows you to scrape websites without getting blocked, fetching crucial information while bypassing common defenses. Whether you're extracting product details, real estate listings, or automating competitor research, this API combined with Pipedream's serverless platform offers you the tools to automate these tasks efficiently. Pipedream's ability to trigger workflows via HTTP requests, schedule them, or react to events, means you can create robust scraping operations that integrate seamlessly with hundreds of other apps.

Connect ScrapingBot

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scrapingbot: {
      type: "app",
      app: "scrapingbot",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": ``,
    }
    return await axios($, {
      method: "post",
      url: `http://api.scraping-bot.io/scrape/raw-html`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.scrapingbot.$auth.username}`,
        password: `${this.scrapingbot.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});