Real Simple Syndication
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.
module.exports = defineComponent({
props: {
rss: {
type: "app",
app: "rss",
}
},
async run({steps, $}) {
// Retrieve items from a sample feed
const Parser = require('rss-parser');
const parser = new Parser();
const stories = []
// Replace with your feed URL
const url = "https://pipedream.com/community/latest.rss"
const feed = await parser.parseURL(url);
const { title, items } = feed
this.title = title
if (!items.length) {
$end("No new stories")
}
this.items = items
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})