I've been evaluating Fireflies.ai for automating meeting note extraction across our engineering retrospectives and planning sessions. The platform does a solid job with transcription and basic topic detection.
However, when I try to pull the data into our internal analytics dashboard, I'm hitting a wall with the standard CSV export. It seems to flatten the structure and omit a lot of the metadata and granular detail I need. For example:
- Speaker-specific timestamps for each utterance
- The associated "topics" or "action items" linked to specific conversation segments
- Confidence scores for the transcription
I've been down this road before with other SaaS tools—the built-in export is often designed for human review, not for data pipelines.
Has anyone found a reliable method to get a more complete, raw data dump out of Fireflies? I'm looking at a few paths and would love to hear what's worked for others:
* **API Exploration:** The Fireflies API documentation mentions a `transcripts` endpoint. Has anyone used it to build a custom exporter? I'm curious about the schema depth compared to the CSV.
* **Third-party Connectors:** Tools like Zapier or Make (formerly Integromat) have Fireflies integrations. Do these provide access to a richer data object, or are they just triggering on the same limited dataset?
* **Manual Workaround:** Is the best option right now to use the "Summary" or "Transcript" view in the UI and scrape it? That's a brittle last resort.
My goal is to join meeting sentiment and topic data with Jira issue timelines and deployment metrics. The missing fields break the data lineage. Any insights from those who've pushed data into a warehouse or a logging stack like Elasticsearch would be particularly helpful.