with RSS and Rosette Text Analytics?
Extract entities from content using Rosette. See the documentation
Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation
Compare two names using Rosette. See the documentation
Translate name using Rosette. 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
},
})
The Rosette Text Analytics API brings advanced language processing to the table, allowing you to extract entities, relationships, and sentiment from text. With Pipedream, you can integrate this powerful text analysis into your workflows, triggering actions based on the insights extracted from documents, social media posts, customer feedback, and more. You can use it to enrich CRM data, automate content moderation, or even drive market research by sentiment analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rosette_text_analytics: {
type: "app",
app: "rosette_text_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rosette.com/rest/v1/ping`,
headers: {
"X-RosetteAPI-Key": `${this.rosette_text_analytics.$auth.api_key}`,
},
})
},
})