Automated data cleansing for Russian postal addresses, phones and customer names
Convert an object to a JSON format string
Add or subtract time from a given input
Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.
Format a date string to another date string. For more examples on formatting, see the Sugar Date Format documentation.
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 Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})