Integrate the eSignatures.io API with the Python API

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

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Popular eSignatures.io and Python Actions#

Create Contract with the eSignatures.io API

Creates a contract and sends the links (via email or SMS) to the signers to collect their signatures. See docs here

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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.

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Overview of eSignatures.io#

The eSignatures.io API enables automated, legally-binding online contract signing. With this API, you can generate contracts from templates, send them to signees, and track the entire signing process. Leveraging this functionality within Pipedream allows you to create powerful automations that streamline contract management, integrate with CRM systems, trigger actions upon contract completion, and much more, eliminating manual tasks and enhancing productivity.

Connect eSignatures.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    esignatures_io: {
      type: "app",
      app: "esignatures_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://esignatures.io/api/contracts/contract_id_goes_here`,
      auth: {
        username: `${this.esignatures_io.$auth.api_token}`,
        password: ``,
      },
    })
  },
})

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}}

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