Integrate the Scrape-It.Cloud API with the Python API

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

Popular Scrape-It.Cloud and Python Actions#

Start Scraping with the Scrape-It.Cloud API

Initiate the scraping process for a specific endpoint. See the documentation here.

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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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Overview of Scrape-It.Cloud#

The Scrape-It.Cloud API allows you to automate the extraction of data from websites. It can parse, scrape, and retrieve content without the need for manual intervention. With this API on Pipedream, you can build workflows that trigger on various events and use the scraped data for numerous applications like data analysis, lead generation, and content aggregation.

Connect Scrape-It.Cloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scrape_it_cloud: {
      type: "app",
      app: "scrape_it_cloud",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `https://pipedream.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.scrape-it.cloud/scrape`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.scrape_it_cloud.$auth.api_key}`,
      },
      data,
    })
  },
})

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}}