Service for managing a reading list of articles and videos
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Save articles, videos, images and URLs to your Pocket list. See docs here
Pocket's API on Pipedream allows for the automation of content curation workflows. Users can add, retrieve, and organize articles, videos, or other content they want to view later. By leveraging the API, you can create systems for tagging and sorting saved items, integrating them with other services for further processing or sharing. This could be useful for content creators, researchers, or anyone needing to manage a large influx of information efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pocket: {
type: "app",
app: "pocket",
}
},
async run({steps, $}) {
const pocketReq = {
method: "post",
url: "/v3/get",
data: {
count: 10,
access_token: this.pocket.$auth.oauth_access_token,
},
}
// proxy pocket request
return await axios($, {
url: "https://enkogw2a5epb176.m.pipedream.net",
params: {
http_respond: 1,
},
data: pocketReq,
})
},
})
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.
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)
}