with Rasa and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
Rasa is an open-source platform for building conversational AI applications, including chatbots and voice assistants. It offers robust API endpoints for training models, managing conversations, and interpreting user messages, thus enabling the development of sophisticated AI-driven communication tools. When used with Pipedream, Rasa can automate dialogue flow, extract insights from conversation data, or trigger actions in other apps based on conversational cues.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rasa: {
type: "app",
app: "rasa",
}
},
async run({steps, $}) {
const data = {
"key": `${this.rasa.$auth.key}`,
}
return await axios($, {
method: "post",
url: `https://api.rasa.io/v1/tokens`,
headers: {
"accept": `application/json`,
"Content-type": `application/json`,
},
auth: {
username: `${this.rasa.$auth.username}`,
password: `${this.rasa.$auth.password}`,
},
data,
})
},
})
The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinterest: {
type: "app",
app: "pinterest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinterest.com/v5/user_account`,
headers: {
Authorization: `Bearer ${this.pinterest.$auth.oauth_access_token}`,
},
})
},
})