with LinkedIn and AssemblyAI?
Emit new event when a transcribed audio file from AssemblyAI is ready. See the documentation
Emit new event when a new post is created by the organization. See the documentation
Create post on LinkedIn using text, URL or article. See the documentation for more information
Export your completed transcripts in SRT (srt) or VTT (vtt) format, which can be used for subtitles and closed captions in videos. See the documentation
Create post on LinkedIn using text, URL or article. See the documentation for more information
Fetches a specific transcribed result from the AssemblyAI API. See the documentation
Create a comment on a share or user generated content post. See the docs here
The LinkedIn API on Pipedream allows you to automate interactions with your LinkedIn account, such as posting updates, managing your profile, and engaging with your network. With Pipedream's serverless platform, you can create workflows that trigger on various events, process data, and connect with countless other apps to extend your LinkedIn presence, analyze your network's demographics, automate content sharing, and more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linkedin: {
type: "app",
app: "linkedin",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.linkedin.com/v2/me`,
headers: {
Authorization: `Bearer ${this.linkedin.$auth.oauth_access_token}`,
},
})
},
})
The AssemblyAI API provides powerful speech recognition and natural language processing capabilities. It allows users to transcribe audio, analyze sentiment, detect topics, and more. In Pipedream, you can leverage these features to create automated workflows that process audio and text data. Connect AssemblyAI to various apps and services, trigger actions based on the API's output, and build robust, serverless data pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
assemblyai: {
type: "app",
app: "assemblyai",
}
},
async run({steps, $}) {
const data = {
"audio_url": `{{your_audio_url}}`,
//for testing, try: https://storage.googleapis.com/aai-web-samples/espn-bears.m4a
}
return await axios($, {
method: "POST",
url: `https://api.assemblyai.com/v2/transcript`,
headers: {
"authorization": `${this.assemblyai.$auth.api_key}`,
},
data,
})
},
})