Extract Web Content Instantly: No Coding, Just URL and Columns!
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
parsera: {
type: "app",
app: "parsera",
}
},
async run({steps, $}) {
const data = {
"url": "https://news.ycombinator.com/",
"attributes": [
{
"name": "Title",
"description": "News title"
},
{
"name": "Points",
"description": "Number of points"
}
]
}
return await axios($, {
method: "POST",
url: `https://api.parsera.org/v1/extract`,
headers: {
"X-API-KEY": `${this.parsera.$auth.api_key}`,
"Accept": `application/json`,
},
data,
})
},
})
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:
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}}