Integrate the Browserhub API with the Python API

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

Popular Ways to Connect Browserhub with Python#

Run Python Code with Python API on New Finished Automation Run from Browserhub API

Browserhub + Python

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Popular Browserhub and Python Triggers#

New Finished Automation Run from the Browserhub API

Emit new event when an automation run has finished running. See the documentation

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Popular Browserhub and Python Actions#

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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Run Automation with the Browserhub API

Triggers a pre-built automation by providing the scraper ID. See the documentation

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Overview of Browserhub#

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.

Connect Browserhub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browserhub: {
      type: "app",
      app: "browserhub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.browserhub.io/v1/status`,
      headers: {
        Authorization: `Bearer ${this.browserhub.$auth.api_key}`,
      },
    })
  },
})

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#

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}}