with Pinterest and Tisane Labs?
Emit new events when new pins are created on a board or board section. See the docs here and here
Analyze text for language, entities, sentiment, and other insights. See the documentation
Detects languages used in the specified text fragment. See the documentation
Finds and returns a URL of an image (Creative Commons) best describing the text. See the documentation
Translate text between supported languages. See the documentation
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}`,
},
})
},
})
The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tisane_labs: {
type: "app",
app: "tisane_labs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tisane.ai/languages`,
headers: {
"Ocp-Apim-Subscription-Key": `${this.tisane_labs.$auth.api_key}`,
},
})
},
})