Prerender.io
Prerender.io is a Google-recommended dynamic rendering solution that enables Angular, React, Vue, or JavaScript sites to be crawled perfectly by search engines.
Integrate the Prerender.io API with the Python API
Setup the Prerender.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Prerender.io and Python remarkably fast. Free for developers.
Popular Prerender.io 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 Prerender.io#
Prerender.io is an API that enhances SEO by allowing servers to return fully rendered HTML pages to search engines and social media crawlers, ensuring that these services can index and display web content efficiently. Utilizing Prerender.io with Pipedream, developers can automate the caching and serving of rendered pages, monitor and manage the performance of their prerendered content, and integrate SEO enhancement processes into broader application workflows.
Connect Prerender.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
prerender: {
type: "app",
app: "prerender",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.prerender.io/recache`,
method: `post`,
data: {
prerenderToken: this.prerender.$auth.token,
url: "http://www.example.com/url/to/recache"
},
})
},
})
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}}