FormTitan

Titan is a robust all-in-one platform for Salesforce and other CRMs that lets you build sophisticated products like portals, progressive and dynamic forms, document generation, scheduler, dashboard, and more, all completely code-free.

Integrate the FormTitan API with the Python API

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

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of FormTitan

The FormTitan API enables interaction with FormTitan's form-building and lead-capture capabilities programmatically. With Pipedream, you can harness this API to automate form data processing, synchronize data across various platforms, and trigger actions based on form submissions. This can streamline complex workflow scenarios, such as lead nurturing, survey data analysis, and customer feedback management, without the need to manually intervene.

Connect FormTitan

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    formtitan: {
      type: "app",
      app: "formtitan",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.formtitan.$auth.account}.formtitan.com/api/v1/users`,
      headers: {
        "ftAPIKey": `${this.formtitan.$auth.api_key}`,
      },
    })
  },
})

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

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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}}