Integrate the AWS API with the Fireflies API

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

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Popular Ways to Connect AWS with Fireflies#

Find Meeting by ID with Fireflies API on New Scheduled Tasks from AWS API

AWS + Fireflies

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Find Meeting by ID with Fireflies API on New SNS Messages from AWS API

AWS + Fireflies

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Find Recent Meeting with Fireflies API on New Scheduled Tasks from AWS API

AWS + Fireflies

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Find Recent Meeting with Fireflies API on New SNS Messages from AWS API

AWS + Fireflies

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Upload Audio with Fireflies API on New Scheduled Tasks from AWS API

AWS + Fireflies

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Popular AWS and Fireflies Triggers#

New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

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New Meeting Created from the Fireflies API

Emit new event when a meeting with transcripts is created

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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

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Popular AWS and Fireflies 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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Find Recent Meeting with the Fireflies API

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

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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

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Upload Audio with the Fireflies API

Creates and stores a new meeting in Fireflies, allowing it to be transcribed and shared. See the documentation

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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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Overview of AWS#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS#

import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})

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,
    })
  },
})

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