Automated data cleansing for Russian postal addresses, phones and customer names
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
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.
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,
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})