Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here
Gets a list of all submissions for all forms on the account See the docs here
Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jotform: {
type: "app",
app: "jotform",
}
},
methods: {
_getBaseUrl() {
let baseUrl = `https://${this.jotform.$auth.region}.jotform.com/`;
const standardSubdomains = [
"api",
"eu-api",
"hipaa-api",
];
if (!standardSubdomains.includes(this.jotform.$auth.region)) {
baseUrl += "API/";
}
return baseUrl;
},
},
async run({steps, $}) {
const baseUrl = this._getBaseUrl();
return await axios($, {
url: `${baseUrl}user`,
params: {
apiKey: `${this.jotform.$auth.api_key}`,
},
})
},
})
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)
}