with Lettria and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
The Lettria API offers advanced natural language processing (NLP) capabilities, enabling developers to analyze and extract meaningful information from text data. With Lettria's API, you can perform tasks like sentiment analysis, entity recognition, and semantic analysis. When integrated into Pipedream, these features unlock the potential for automating text-intensive workflows, making it simple to process feedback, categorize customer inquiries, or extract insights from unstructured data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lettria: {
type: "app",
app: "lettria",
}
},
async run({steps, $}) {
const data = {
"documents": [
"First document to analyse"
]
}
return await axios($, {
method: "post",
url: `https://api.lettria.com`,
headers: {
"Content-Type": `application/json`,
"Authorization": `LettriaProKey ${this.lettria.$auth.api_key}`,
},
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}`,
},
})
},
})