Gumloop
FreemiumAI-native visual workflow builder for scraping, document parsing and LLM pipelines, with drag-and-drop nodes and credit-based pricing.
What is Gumloop?
Gumloop is an AI-native workflow platform where model calls are the point rather than a bolt-on. You build flows on a node canvas, dragging in scrapers, LLM steps, document parsers and app connectors, which makes it strong for research pipelines, lead enrichment and document processing that conventional automation tools handle awkwardly. It starts free, with paid tiers from around $37 monthly for 10,000 credits and a single seat. Two things reviewers consistently flag. Credit consumption is hard to predict before you build, since different node types and models draw very differently, so budget by testing a representative workflow rather than by plan name. And the learning curve is real: Gumloop rewards people comfortable thinking in data pipelines and frustrates those wanting template-driven simplicity, which is the trade for its depth on scraping and AI steps.
Key Features
Integrations
How to Use Gumloop
✅ Best For
- Research and operations teams processing large volumes of unstructured input such as PDFs, contracts, transcripts or scraped web pages into clean structured data
- Growth and GTM teams running bulk enrichment or qualification pipelines across hundreds of companies at once
- Technically comfortable users who want visual control over an LLM pipeline without writing and maintaining Python scripts
- Teams that would rather have AI model costs bundled into one credit balance than manage separate API keys and provider invoices
❌ Not For
- Teams whose core need is app-to-app syncing, since the integration library is much smaller than Zapier's or Make's
- Budget-sensitive users running advanced models heavily, because a single flow using premium LLM calls can consume hundreds of credits per run
- Non-technical beginners, as the node canvas and credit mechanics carry a real learning curve
- Organisations needing predictable fixed monthly costs, since credit consumption swings with model choice and data volume
Reviews
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Pricing
- ✓Around 2
- ✓000 credits/month
- ✓1 seat
- ✓limited concurrent runs
- ✓community support
- ✓Around 20
- ✓000 credits/month
- ✓unlimited seats
- ✓more concurrency
- ✓team analytics
- ✓Higher credit allocation
- ✓expanded concurrency
- ✓workspace controls
- ✓RBAC
- ✓SCIM and SAML
- ✓audit logs
- ✓custom retention
- ✓VPC deployment
Prompts to Try
Build a flow that scrapes 200 company websites and writes a one-line qualification summary for each
Create a flow that reads uploaded PDFs and extracts contract dates, parties and renewal terms into a spreadsheet
Set up a flow that takes a list of LinkedIn URLs and generates personalised outreach lines
Design a flow that summarises customer call transcripts and tags them by objection type