Bardeen AI First Text Based Workflows

Bardeen is trying to turn automation from a flowchart building task into a prompt driven browser action. That matters because many real world workflows start with something messy on a live web page, not a clean app event. Bardeen lets a user describe the job in plain language, then combines app actions with page scraping and browser context, which is a different starting point from Zapier’s classic trigger and action builder.

• Zapier built its core product around connecting structured events across thousands of SaaS apps. Its newer AI Copilot and AI powered Zap builder can draft workflows from plain language, but those features arrived later and remained beta or early access as they rolled out, while Bardeen made prompt based creation part of the core product from the start.
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• The browser matters as much as the AI. In Bardeen, a workflow can start from the active tab, pull fields from a page, run OCR or scraping logic, then send the result to Notion, Sheets, or a CRM. That makes tasks like pulling leads from LinkedIn or summarizing a web page much easier than mapping every field manually in a traditional builder.
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• This pushes Bardeen toward GTM and ops use cases where workers spend the day inside websites that were never designed as automation friendly systems. Zapier is broader and much larger, with thousands of app integrations and an estimated $310M of revenue in 2023, but Bardeen is more opinionated around messy browser workflows and lightweight AI playbooks for sales, recruiting, and research work.
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The market is moving toward natural language as the default way to assemble workflows, but the winners will be the products that can also execute against messy real world interfaces. Bardeen is well positioned if automation keeps shifting from back office app syncing toward browser native agents that can read pages, extract data, and act on it immediately.