Real Simple Syndication
Run inference on classification models hosted on Roboflow. See the documentation.
Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation
Run inference on your object detection models hosted on Roboflow. See the documentation.
Upload an image to a project on the Roboflow platform. 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 Roboflow API is a robust machine learning interface that allows developers to upload, annotate, train, and deploy computer vision models. Using Pipedream, you can create powerful, serverless workflows to automate tasks involving image and video processing. With the API, you can programmatically manage datasets, kick off model training, and utilize trained models to analyze new data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
roboflow: {
type: "app",
app: "roboflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.roboflow.com/`,
params: {
api_key: `${this.roboflow.$auth.api_key}`,
},
})
},
})