Fireflies.ai helps your team transcribe, summarize, search, and analyze voice conversations.
Locates a specific user meeting by its unique ID. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieves the most recent meeting for a user. See the documentation
Creates and stores a new meeting in Fireflies, allowing it to be transcribed and shared. See the documentation
The Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireflies: {
type: "app",
app: "fireflies",
}
},
async run({steps, $}) {
const data = {
"query": `{ user { user_id email } }`,
}
return await axios($, {
method: "POST",
url: `https://api.fireflies.ai/graphql`,
headers: {
Authorization: `Bearer ${this.fireflies.$auth.api_key}`,
},
data,
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}