WebMerge

WebMerge is a document generation software solution that is designed to automate all paperwork processes.

Integrate the WebMerge API with the Python API

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

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 WebMerge

WebMerge is an API that automates the creation of PDFs, Word documents, Excel files, and more, by merging data into custom-built templates. With Pipedream, you can harness this functionality to create dynamic documents fueled by data from various sources. Think auto-generated reports from CRM leads, personalized contracts from form submissions, or automated invoices post-sale. Pipedream's serverless platform allows you to create intricate workflows that connect WebMerge with other apps, triggering document creation with real-time data.

Connect WebMerge

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    webmerge: {
      type: "app",
      app: "webmerge",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.webmerge.me/api/documents`,
      auth: {
        username: `${this.webmerge.$auth.api_key}`,
        password: `${this.webmerge.$auth.api_secret}`,
      },
    })
  },
})

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}}