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Fireflies

Fireflies.ai helps your team transcribe, summarize, search, and analyze voice conversations.

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PostgreSQL

Integrate the Fireflies API with the PostgreSQL API

Setup the Fireflies API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Fireflies and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect Fireflies with PostgreSQL

Delete Row(s) with PostgreSQL API on New Meeting Created from Fireflies API
Fireflies + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Meeting Created from Fireflies API
Fireflies + PostgreSQL
 
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Find Meeting by ID with Fireflies API on New Column from PostgreSQL API
PostgreSQL + Fireflies
 
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Find Meeting by ID with Fireflies API on New or Updated Row from PostgreSQL API
PostgreSQL + Fireflies
 
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Find Meeting by ID with Fireflies API on New Row Custom Query from PostgreSQL API
PostgreSQL + Fireflies
 
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Popular Fireflies and PostgreSQL Triggers

New Meeting Created from the Fireflies API

Emit new event when a meeting with transcripts is created

 
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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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Popular Fireflies and PostgreSQL Actions

Find Meeting by ID with the Fireflies API

Locates a specific user meeting by its unique ID. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Find Recent Meeting with the Fireflies API

Retrieves the most recent meeting for a user. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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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

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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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