Automated data cleansing for Russian postal addresses, phones and customer names
Emit new event when a new message is posted in a channel
Emit new event when a new message is received in a chat
Emit new event when a new team is joined by the authenticated user
Create a new channel in Microsoft Teams. See the docs here
Get the list of shift instances for a team. See the documentation
Send a message to a team's channel. See the docs here
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 Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_teams: {
type: "app",
app: "microsoft_teams",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_teams.$auth.oauth_access_token}`,
},
})
},
})