Jotform

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Integrate the Jotform API with the BigML API

Setup the Jotform API trigger to run a workflow which integrates with the BigML API. Pipedream's integration platform allows you to integrate Jotform and BigML remarkably fast. Free for developers.

Create Batch Prediction with BigML API on New Submission (Instant) from Jotform API
Jotform + BigML
 
Try it
Create Model with BigML API on New Submission (Instant) from Jotform API
Jotform + BigML
 
Try it
Create Source (Remote URL) with BigML API on New Submission (Instant) from Jotform API
Jotform + BigML
 
Try it
Get Form Submissions with Jotform API on New Model Created from BigML API
BigML + Jotform
 
Try it
Get Form Submissions with Jotform API on New Prediction Made from BigML API
BigML + Jotform
 
Try it
New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

 
Try it
New Model Created from the BigML API

Emit new event for every created model. See docs here.

 
Try it
New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

 
Try it
Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

 
Try it
Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

 
Try it
Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

 
Try it
Get Monthly User Usage with the Jotform API

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

 
Try it
Create Source (Remote URL) with the BigML API

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

 
Try it

Overview of Jotform

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.

Connect Jotform

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
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}`,
      },
    })
  },
})

Overview of BigML

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Connect BigML

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})