Prismic
Empower marketers to release on-brand pages fast while using your tech stack. Prismic is the headless page builder for Next.js, Nuxt, and SvelteKit sites.
Integrate the Prismic API with the Python API
Setup the Prismic API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Prismic and Python remarkably fast. Free for developers.
Popular Prismic 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 Prismic#
The Prismic API enables you to query and manage your content repository. With Pipedream's serverless integration, you can automate content updates, sync data across multiple platforms, and trigger custom workflows. For instance, you can connect Prismic with your static site generator to update your website's content on-the-fly, or sync Prismic content with a CMS like WordPress for better content management. Pipedream's no-code platform simplifies the process of setting up these integrations and workflows, making it accessible to users of varying technical levels.
Connect Prismic#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
prismic: {
type: "app",
app: "prismic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${auths.prismic.subdomain}.cdn.prismic.io/api/v2/documents/search?ref=ZevOdxAAACUAPpht`,
params: {
access_token: auths.prismic.subdomain
}
})
},
})
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}}