Browserless

Browserless is a service that allows you to run headless Chrome instances in the cloud.

Integrate the Browserless API with the Python API

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

Generate PDF from HTML String with the Browserless API
 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Scrape URL with the Browserless API

Scrape content from a page. See the documentation.

 
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Scrape URL List with the Browserless API

Scrape content from a list of pages. See the documentation.

 
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Take a Screenshot with the Browserless API

Take a screenshot of a page. See the documentation

 
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Overview of Browserless

The Browserless API on Pipedream allows you to automate browser actions without the overhead of managing your own browser infrastructure. This service provides a way to run Chrome browser sessions programmatically, making it ideal for web scraping, automated testing, and screenshot capture. Leveraging this on Pipedream, you can create serverless workflows that interact with web pages, extract data, and perform actions as a human would, all in a scalable and efficient manner.

Connect Browserless

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import puppeteer from 'puppeteer-core@14.1.0';

export default defineComponent({
  props: {
    browserless: {
      type: "app",
      app: "browserless",
    }
  },
  async run({steps, $}) {
    // See the browserless docs for more info:
    // https://www.browserless.io/docs/
    const browser = await puppeteer.connect({ 
      browserWSEndpoint: `wss://chrome.browserless.io?token=${this.browserless.$auth.api_key}` 
    })
    const page = await browser.newPage()
    
    const url = "https://example.com"
    const type = "png"
  
    await page.goto(url)
    const screenshot = await page.screenshot()
    
    // export the base64-encoded screenshot for use in future steps,
    // along with the image type and filename
    $.export("screenshot", Buffer.from(screenshot, 'binary').toString('base64'))
    $.export("type", type)
    $.export("filename",`${url.replace(/[&\/\\#, +()$~%.'":*?<>{}]/g, '_')}-${+new Date()}.${type}`)
    
    await browser.close()
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}