Integrate the Affinda API with the Python API

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

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Popular Ways to Connect Affinda with Python#

Run Python Code with Python API on New Document Parse Completed from Affinda API

Affinda + Python

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Run Python Code with Python API on New Document Validated from Affinda API

Affinda + Python

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Popular Affinda and Python Triggers#

New Document Parse Completed from the Affinda API

Emit new event when a document parsing is completed in Affinda See docs here

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New Document Validated from the Affinda API

Emit new event when a document is validated in Affinda. See docs here

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Popular Affinda 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.

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Upload Document for Parsing with the Affinda API

Uploads a document for parsing. See docs here

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Overview of Affinda#

The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.

Connect Affinda#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    affinda: {
      type: "app",
      app: "affinda",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.affinda.$auth.api}.affinda.com/v3/organizations`,
      headers: {
        Authorization: `Bearer ${this.affinda.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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