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Bardeen vs Gumloop
A plain-English comparison to help you choose between them.
Both automate without code; they disagree about where the work lives: Bardeen acts inside your browser session, Gumloop runs AI pipelines over whole datasets on a canvas. Pick Bardeen when the repetitive work happens in tabs, scraping pages into sheets, enriching CRM records and moving information between web apps from the session you are already authenticated in. Pick Gumloop when the work arrives in batches, folders of documents processed, extracted and transformed through AI steps that are first-class nodes rather than bolted-on stages.
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Side by side
- Summary
Bardeen automates the work that happens in a browser: scraping structured data off pages, enriching CRM records, moving information between web apps, and running go-to-market playbooks from a large template library. It lives as a browser extension, which is both its superpower and its boundary.
Its evolution points at agents: browser agents that traverse sites, find and summarise specific information and deliver it onward, rather than merely extracting what a selector matches.
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It suits the sales, marketing and ops person who lives in the browser.
- Best for
- Scraping structured data from pages without code
- Enriching CRM records from the open web
- GTM playbooks from a large template library
- Browser agents that find and summarise, not just extract
- Browser-resident work moved between apps automatically
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Automations act inside your browser sessions with your logins, so audit what each playbook can reach before sharing it.
- Summary
Gumloop is a visual canvas for AI-heavy automation: drag nodes together and batch-process documents, scrape and transform data, and chain AI steps into workflows without code. Its shape suits data-processing jobs that are too AI-centric for classic automation platforms.
The canvas is the interface and the argument: workflows read visually, AI operations are first-class nodes rather than bolted-on steps, and batches run over whole datasets.
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Credits meter the AI work, so heavy batch runs cost accordingly: the arithmetic belongs in the plan before the pipeline scales.
- Best for
- Batch document and data processing with AI steps
- Visual workflow building without code
- Scraping and transforming data in one canvas
- AI operations as first-class workflow nodes
- Data jobs too AI-centric for classic automation
- Cost
- Paid only
- Ease
- Openness
- Hosted service
- Data
- Workflows touch whatever systems you connect; credential scoping deserves the same care as any automation platform.
Pricing
- Bardeen
from $10·from $50·Custom
Prices as of August 2026.
- Basic
- from $10per monthbilled monthly
- Premium
- from $50per monthbilled monthly
- Enterprise
- Price on applicationbilled annually; no list price published
- Gumloop
from $37·Custom
Prices as of August 2026.
- Pro
- from $37per monthbilled monthly
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | Bardeen | Gumloop |
|---|---|---|
| By job | ||
| AI agents & automation | nothing is sitting in a folder yet: prospect research and list building go out to the sites holding the information and bring it back page by page, work that otherwise gets done by hand | the automation is a drawing on a shared canvas rather than something living in one person's setup, so it can change hands without anyone inheriting a script to maintain |
| By task | ||
| Automation & agents | Bardeen makes the deciding question where the work actually lives, in a tab or on a server, and answers it for the tab | Gumloop meters the AI work with credits, so a heavy recurring batch wants its economics modelled before it scales and some eventually graduate to code |
Common questions
What does the browser boundary really mean?
Bardeen runs where the browser runs, which is both the superpower and the limit: it reaches things a cloud platform would need credentials to touch, but anything that must fire while the laptop is closed belongs on server-side platforms, by design rather than omission. Gumloop has no such boundary; its pipelines run whether or not you are watching them.
How do their AI ambitions differ?
Bardeen has evolved from extraction to agency: browser agents traverse sites, find the specific information asked for and summarise it before passing it on, closer to a researcher in the toolbar than a scraper. Gumloop's AI is pipeline-shaped, with scraping, extraction and model calls chained visually and run over entire datasets, built for jobs too AI-centric for classic trigger-action platforms.
What obligations travel with each?
Bardeen's are legal-adjacent: the terms and data rules of the sites being read apply to what you collect, and that responsibility is the operator's rather than the tool's. Gumloop's are financial: credits meter the AI work, heavy recurring batches need the economics modelled before the pipeline scales, and some pipelines eventually justify being written as code instead.
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Tool facts last checked August 2026