Airtable ➔ Fireflies.ai Payload Specification

Technical reference for automating data exchange between NoCode DB and Transcription workflows.

💡 How this integration works:

1. Airtable triggers an event when record.created occurs.
2. Data is packaged into a standard JSON webhook payload.
3. Payload is delivered into your Fireflies.ai intake pipeline and mapped to your Transcription targets.

Authentication & Event Specs

ParameterSource (Airtable)Destination (Fireflies.ai)
Auth MechanismBearer TokenOAuth 2.0 / API Key
Trigger Eventrecord.createdIngest Pipeline

Sample Webhook JSON Payload

{
  "event": "record.created_to_fireflies",
  "timestamp": 1788105197,
  "source": {
    "platform": "Airtable",
    "auth_mode": "Bearer Token",
    "data": {
      "record_id": "sample_record_id_val",
      "base_id": "sample_base_id_val",
      "table_name": "sample_table_name_val",
      "fields": "sample_fields_val"
    }
  },
  "destination": {
    "platform": "Fireflies.ai",
    "auth_mode": "OAuth 2.0 / API Key",
    "target_endpoint": "https://api.fireflies.com/v1/ingest",
    "mapped_fields": {
      "meeting_id": "{{source.record_id}}",
      "transcript_url": "{{source.base_id}}",
      "speakers_count": "{{source.table_name}}",
      "duration_min": "{{source.fields}}"
    }
  }
}

Quick Integration Setup

  1. Retrieve your secret API credentials from your Airtable developer dashboard using authentication method Bearer Token.
  2. Configure the target endpoint URL to route payloads into the Fireflies.ai intake pipeline.
  3. Map incoming schema properties according to the JSON specification detailed above.

Expected HTTP Response Codes

Status CodeMeaningTroubleshooting Step
200 OKSuccessPayload accepted and queued for routing.
401 UnauthorizedAuth FailureVerify headers for valid Bearer Token credentials.
422 UnprocessableSchema ErrorCheck field keys alignment between source and target payload.

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