Integrate the ParseHub API with the Python API

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

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Popular ParseHub and Python Actions#

Get Data for a Run with the ParseHub API

Returns the data extracted by a specified run. See the documentation

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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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Get Project Details with the ParseHub API

Retrieves the details of a specified project within the user's account. See the documentation

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Run Parsehub Project with the ParseHub API

Initiates an instance of a specified project on the Parsehub cloud. See the documentation

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Overview of ParseHub#

The ParseHub API allows you to leverage the power of web scraping directly within Pipedream. By integrating ParseHub, you can automate the collection of data from web pages, manipulate and transform it with Pipedream’s built-in code steps or pre-built actions, and connect it to hundreds of other apps. You can extract structured data from any website, run scraping jobs, retrieve results and integrate with other services for data processing, visualization, or storage.

Connect ParseHub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    parsehub: {
      type: "app",
      app: "parsehub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.parsehub.com/api/v2/projects`,
      params: {
        api_key: `${this.parsehub.$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}}

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