CloudFill
Easily create customized PDFs for your customers and leads! Use simple integrations and easy to use API to create PDF from your templates.
Integrate the CloudFill API with the Python API
Setup the CloudFill API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate CloudFill and Python remarkably fast. Free for developers.
Popular CloudFill 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 CloudFill#
The CloudFill API specializes in automatic form filling, allowing you to pre-fill web forms with accurate and up-to-date information programmatically. With CloudFill on Pipedream, you can create serverless workflows that trigger form filling operations, handle data extracted from forms, and connect to other apps to streamline complex tasks like data entry, customer onboarding, and lead generation.
Connect CloudFill#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudfill: {
type: "app",
app: "cloudfill",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloudfill.io/api/meta/pdf/`,
headers: {
"X-API-Key": `${this.cloudfill.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
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}}