with Cloudflare Browser Rendering and Python?
Fetches rendered HTML content from provided URL or HTML. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Fetches rendered PDF from provided URL or HTML. See the documentation
Takes a screenshot of a webpage from provided URL or HTML. See the documentation
Get meta attributes like height, width, text and others of selected elements. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudflare_browser_rendering: {
type: "app",
app: "cloudflare_browser_rendering",
}
},
async run({steps, $}) {
const data = {
"url": `https://pipedream.com?via=go`,
}
return await axios($, {
method: "post",
url: `https://api.cloudflare.com/client/v4/accounts/${this.cloudflare_browser_rendering.$auth.account_id}/browser-rendering/content`,
headers: {
Authorization: `Bearer ${this.cloudflare_browser_rendering.$auth.api_token}`,
"content-type": `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}}