Integrate the IgniSign API with the Python API

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

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Popular Ways to Connect IgniSign with Python#

Run Python Code with Python API on New Signature Proof Instant from IgniSign API

IgniSign + Python

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Popular IgniSign and Python Triggers#

New Signature Proof Instant from the IgniSign API

Emit new event when a signature proof is generated. See the documentation

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Popular IgniSign and Python Actions#

Create Signature Request with the IgniSign API

Creates a document signature request through IgniSign. See the documentation

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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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Create Signer with the IgniSign API

Creates a new signer entity in IgniSign. See the documentation

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Get Signature Proof with the IgniSign API

Retrieves a proof file for a specific signature. See the documentation

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Connect IgniSign#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ignisign: {
      type: "app",
      app: "ignisign",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ignisign.io/v4/applications/${this.ignisign.$auth.app_id}/envs/${this.ignisign.$auth.app_env}/signer-profiles`,
      headers: {
        Authorization: `Bearer ${this.ignisign.$auth.oauth_access_token}`,
      },
    })
  },
})

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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