Gumloop

No-code AI workflow builder with a node canvas and reusable subflows

AI Agents & AutomationFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Gumloop?

Gumloop is a no-code platform for building AI workflows on a node canvas. Each node performs one job - scrape a page, summarise a document, query a model, write to a sheet - and nodes connect into a pipeline you can run on a schedule, a webhook or a form. The distinguishing feature is reuse: any workflow can be saved as a subflow and dropped into another one, which keeps large automations readable instead of becoming one unmanageable spider of connections. It also ships hosted scrapers and search nodes, so credit-free glue code is needed less.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Drag-and-drop node canvas for building AI workflows
  • Reusable subflows that nest inside larger automations
  • Scheduled, webhook and form-based run triggers
  • Hosted web scraping and search nodes without setup
  • Model nodes covering common providers plus custom API calls
  • Human approval steps and error branches inside a flow

Pros & cons

Strengths

  • Subflows keep bigger automations maintainable
  • Scraping and search nodes remove common glue work
  • Non-engineers can ship a working pipeline in an afternoon

Watch out for

  • Credit-based pricing is hard to predict before you build
  • Node canvas can still get tangled on large projects
  • Fine-grained control is weaker than writing code

Best for & use cases

marketing ops, research pipelines, lead enrichment and internal automation

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FAQ

Who is Gumloop aimed at?

Teams that want AI automation without a dedicated engineer: marketing, operations and research groups building repeatable pipelines such as lead enrichment, content research or report assembly.

What is a subflow?

A saved workflow that can be inserted into another one as a single node. It is the main reason larger builds stay readable, since common routines are defined once and reused instead of copied.

How do credits work?

Most nodes consume credits, with scraping, search and model calls costing more than simple data steps. Estimate volume on a small test run before committing to a paid tier.