Integrate the Snapdocs API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Snapdocs and Python Actions#

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 Snapdocs#

The Snapdocs API enables seamless integration with its real estate closing platform, allowing users to automate document handling, notifications, and scheduling within the real estate closing process. By leveraging the Snapdocs API on Pipedream, you can craft custom workflows that streamline communication between agents, clients, and other stakeholders, orchestrate document management, and sync data across various platforms involved in the transaction process.

Connect Snapdocs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    snapdocs: {
      type: "app",
      app: "snapdocs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.snapdocs.$auth.environment}.snapdocs.com/mobile_notary_api/v1/clients`,
      headers: {
        "X-AUTH-TOKEN": `${this.snapdocs.$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#

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}}

Start for free — no credit card required

Watch a demo