Fireflies
Fireflies.ai helps your team transcribe, summarize, search, and analyze voice conversations.
Integrate the Fireflies API with the Snowflake API
Setup the Fireflies API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Fireflies and Snowflake remarkably fast. Free for developers.
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Popular Fireflies and Snowflake Triggers#
Popular Fireflies and Snowflake Actions#
Locates a specific user meeting by its unique ID. See the documentation
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
Overview of Fireflies#
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.
Connect Fireflies#
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,
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies