RSS
Real Simple Syndication
Integrate the RSS API with the Go API
Setup the RSS API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate RSS and Go remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular RSS and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation
Overview of RSS#
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.
Connect RSS#
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
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies