Agrello

E-Signing Software For Busy People

Integrate the Agrello API with the Python API

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

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Run Python Code with Python API on New Document Added to Folder from Agrello API
Agrello + Python
 
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Run Python Code with Python API on New Signature Added to Document (Instant) from Agrello API
Agrello + Python
 
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Run Python Code with Python API on New Signed Document (Instant) from Agrello API
Agrello + Python
 
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New Document Added to Folder from the Agrello API

Emit new event when a user adds a document to a specific folder. See the documentation

 
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New Signature Added to Document (Instant) from the Agrello API

Emit new event when a signature is added to a container.

 
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New Signed Document (Instant) from the Agrello API

Emit new event when a given document is signed by all parties.

 
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Get Document with the Agrello API

Get a document in Agrello. 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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Connect Agrello

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    agrello: {
      type: "app",
      app: "agrello",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.agrello.io/public/v3/workspace`,
      headers: {
        Authorization: `Bearer ${this.agrello.$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

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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}}

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo