Scraptio
Scrape made easy
Integrate the Scraptio API with the Python API
Setup the Scraptio API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Scraptio and Python remarkably fast. Free for developers.
Popular Scraptio and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Scraptio#
The Scraptio API enables seamless web scraping and data extraction from HTML content. With Scraptio on Pipedream, you can automate the collection of web data, monitor changes on websites, and integrate scraped data with other services. Pipedream's no-code platform enhances Scraptio's capabilities by allowing you to create workflows that trigger on schedules or events, process data, and connect to hundreds of other apps.
Connect Scraptio#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scraptio: {
type: "app",
app: "scraptio",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scraptio.com/validate`,
headers: {
"x-api-key": `${this.scraptio.$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}}