2markdown
Transform Websites into Clean Markdown. Supercharge your AI models with access to comprehensive website content.
Integrate the 2markdown API with the Python API
Setup the 2markdown API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 2markdown and Python remarkably fast. Free for developers.
Popular 2markdown 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 2markdown#
The 2markdown API on Pipedream enables you to convert HTML content into Markdown format seamlessly. This functionality is pivotal for content creators, developers, and marketers who often need to transition between web content and Markdown for various platforms like GitHub, blogs, or documentation sites. By leveraging Pipedream's robust integration and automation capabilities, you can set up workflows that trigger the API to process content dynamically, connect with other services for enhanced automation, or even archive and manage your Markdown conversions systematically.
Connect 2markdown#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
_2markdown: {
type: "app",
app: "_2markdown",
}
},
async run({steps, $}) {
const data = {
"url": `https://pipedream.com`,
}
return await axios($, {
method: "post",
url: `https://2markdown.com/api/2md`,
headers: {
"X-Api-Key": `${this._2markdown.$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}}