Google Meet Developer Forum

Puppeteer Google Meet Bot

Updated at:
February 2, 2026

If you’re searching for “Puppeteer google meet bot”, you’re likely trying to automate Google Meet to either join meetings as a bot or extract meeting content like captions for transcripts or notes.

Puppeteer can control the Google Meet web client, but Google does not provide a public API for bots to join meetings or stream live transcripts. As a result, most Google Meet bots rely on browser automation, which comes with real reliability and maintenance costs.

What a Puppeteer Google Meet bot actually is

Building a Google Meet bot with Puppeteer drives a Chrome browser to behave like a human participant. It opens a Google Meet link, joins the meeting using a Google account, enables captions or captures audio, sends data to a backend service, and exits when the meeting ends.

Because this approach automates a website UI rather than using a supported API, it is sensitive to changes in Google Meet's DOM, login flows, pop-ups, and page structure. These changes can become harder to control at scale and often require monitoring if you want to ensure that your Google Meet bot will work reliably.

Three ways teams try to get transcripts from Google Meet

There are a few ways to get transcripts from Google Meet and there isn't a single correct approach. Each option trades off accuracy, developer time and complexity, and operational risk.

Scraping live captions

The simplest Puppeteer-based approach is scraping captions directly from the Google Meet page as they appear. This avoids audio capture and storage, making it fast to prototype and easy to deploy initially. If you are looking for an example of this approach, we've built a similar open source Google Meet bot using Playwright that sends a meeting bot to a meeting, scrapes the DOM, and returns transcripts with a fully open source repo that you can use.

The downside is that captions are designed for accessibility, not transcription. Words can be dropped, speaker diarization is not guaranteed, overlapping speech is often missed, and small changes to the page layout can break scraping logic without warning.

Capturing audio and transcribing it

Another approach is capturing meeting audio and sending it to a speech-to-text system, also known as automatic speech recognition (ASR), which converts spoken audio into text.

This approach can produce higher-quality transcripts than captions, but it introduces complexity. Capturing system audio reliably is difficult, permissions vary across environments, and storing audio can create privacy, compliance, and cost concerns. The quality of audio is also important when using speech-to-text(STT).

Using a meeting recording API

Some teams use third-party Google Meet bot APIs to send meeting bots to calls that handle meeting joins, retries, recording, and transcription. This removes most of the browser automation burden and engineering time and cost, but is often priced using a usage-based model.

This option reduces maintenance, improves accuracy, decreases time to market, and lowers operational risk.

What breaks first in production

Teams building a Puppeteer Google Meet bot usually run into the same issues early:

  • Login sessions expire or trigger CAPTCHAs, especially with repeated automation.
  • Join flows vary between meetings, with different approval paths, preview screens, and permission prompts.
  • Small UI changes break selectors used to find captions or buttons.
  • Each bot runs a full browser process, which makes scaling expensive in CPU and memory.

None of these are edge cases. They are simply realities that your solution will need to account for if you choose to build a Google Meet bot using Puppeteer.

When a Puppeteer Google Meet bot makes sense

A Puppeteer Google Meet bot can be reasonable when you need a prototype, volume is low, and occasional gaps or failures are acceptable. It can also work when your team is prepared to actively maintain automation as Google Meet changes, but it is rarely the best solution when your product relies on the data from Google Meet meetings.

As usage grows, browser automation tends to require dedicated effort around account management, monitoring, and recovery.

Conclusion

A Puppeteer Google Meet bot is not a supported integration. It is browser automation layered on top of a consumer web interface. While it can work, reliability depends on handling login state, UI changes, data loss, and the cost of running many browser instances.

Whether to build your own meeting bot with Puppeteer or another automation framework or pay for a meeting bot API usually comes down to how much ongoing engineering effort you’re willing to spend maintaining automation instead of building product features. If your product requires you to own the infrastructure for meeting recording and transcription, then building makes sense. In most other cases, finding a meeting transcription or meeting recording API provider is the better option to allow your team to focus on building your product rather than maintaining infrastructure that will necessarily evolve over time as the video conferencing platforms evolve.