What do you want to automate
with APITemplate.io and Python?
Prompt, edit and deploy AI agents that connect to APITemplate.io, Python and 2,500+ other apps in seconds.
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Popular APITemplate.io and Python Actions#
Retrieves information about your account. See the docs for more information
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a PDF file with JSON data and your template. See the docs for more information
Create a JPEG file(along with PNG) with JSON data and your template. See the docs for more information
Delete a PDF or an image from CDN and mark the transaction as deleted. See the docs for more information
Overview of APITemplate.io#
APITemplate.io's API unleashes creative automation for generating images or PDFs from predefined templates. It's a powerful tool for creating custom visual content on-the-fly, ideal for marketers, developers, or content creators who need to personalize images or documents at scale. With Pipedream's integration capabilities, you can construct workflows that trigger custom media creation based on specific triggers or actions from a wide range of apps and services.
Connect APITemplate.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
apitemplate_io: {
type: "app",
app: "apitemplate_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://rest.apitemplate.io/v2/list-objects`,
headers: {
"X-API-KEY": `${this.apitemplate_io.$auth.api_key}`,
"Content-Type": `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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies