iLovePDF
iLovePDF is an online service to work with PDF files completely free and easy to use. Merge PDF, split PDF, compress PDF, office to PDF, and more.
Integrate the iLovePDF API with the Python API
Setup the iLovePDF API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate iLovePDF and Python remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular iLovePDF and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Process one or more files with the desired tool. See the documentation
Overview of iLovePDF#
The iLovePDF API lets you automate PDF processing tasks like merging, splitting, compressing, and converting PDFs to other formats. iLovePDF's robust functionality can be harnessed in Pipedream workflows, which may include handling PDFs generated from various triggers, processing them as needed, and connecting to other services for storage, data extraction, or further actions based on the transformed PDFs.
Connect iLovePDF#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ilovepdf: {
type: "app",
app: "ilovepdf",
}
},
async run({steps, $}) {
const data = {
"public_key": `${this.ilovepdf.$auth.public_key}`,
}
return await axios($, {
method: "post",
url: `https://api.ilovepdf.com/v1/auth`,
headers: {
"Content-Type": `application/json`,
},
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies