Automated data cleansing for Russian postal addresses, phones and customer names
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,
})
},
})
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.