Integrate the DaData.ru API with the Python API

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

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Popular DaData.ru 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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Overview of DaData.ru#

With the DaData.ru API, you can enrich, clean, and autocomplete various types of data, including addresses, names, and company details. This powerful tool can be used to enhance the quality of user input, automate data normalization, and conduct insightful analysis on datasets. Specifically, it can help verify and format addresses to ensure delivery accuracy, deduplicate and correct database entries, and provide auto-suggestions for form fields, improving user experience and backend data consistency.

Connect DaData.ru#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dadata_ru: {
      type: "app",
      app: "dadata_ru",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `pipedream @`,
    }
    return await axios($, {
      url: `https://suggestions.dadata.ru/suggestions/api/4_1/rs/suggest/email`,
      headers: {
        "Authorization": `Token ${this.dadata_ru.$auth.api_key}`,
      },
      data,
    })
  },
})

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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