APITemplate.io allows you to auto-generate images and PDF documents with a simple API
Retrieves information about your account. See the docs for more information
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go 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
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.
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`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}