⚡ Quick Verdict:
- Preisgestaltung: Make starts at $9 per month. Gumloop’s Solo plan starts at $30.
- Ideal für: Make for Geschäft workflows across many apps. Gumloop for AI workflows like web scraping and Daten Extraktion.
- Hauptunterschied: Make bills by operations. Gumloop uses a credit based system that scales with AI usage.
- Our pick: Make for most users. It costs less and connects to more apps.
Make and Gumloop both promise to automate tasks without writing code.
But they are not chasing the same user.
Make is a general Automatisierung tool built for connecting apps.
Gumloop is built around AI agents, scraping, and document processing.
Pick the wrong one, and you pay for features you never touch.
Überblick
This Make vs Gumloop comparison covers pricing, key features, ease of use, and support.
We reviewed documentation, pricing pages, and user reviews for both Automatisierung Plattformen.
Our writers also spent hands-on time with each one.
Those notes appear in the “What Our Team Noticed” sections below.
Was ist Make?
Make is a no code automation platform for connecting apps.
It was formerly called Integromat.
You build workflows, called scenarios, on a visual canvas.
Its drag and drop interface links actions between over 2,000 apps.
Creating automations starts with a trigger, like a new form entry.
Each scenario can route data based on rules you set.
That makes Make a powerful automation platform for Freiberufler und große Unternehmen gleichermaßen.
Here’s a quick walkthrough of the Make app in action.
Machen
Build multi step workflows with branches, loops, and filters. Connect your favorite apps on one visual canvas. Start on the free plan.
Preisgestaltung
Make’s pricing plans start free and stay low for most users.
| Planen | Preis | Am besten geeignet für |
|---|---|---|
| Frei | 0 € pro Monat | Simple workflows and testing |
| Kern | 9 US-Dollar pro Monat | Solo users with a few scenarios |
| Pro | 16 US-Dollar pro Monat | Fortgeschrittene Benutzer, die erweiterte Funktionen benötigen |
| Teams | 29 US-Dollar pro Monat | Kleinunternehmen sharing scenarios |
| Unternehmen | Individuelle Preisgestaltung | Large enterprises with strict needs |
Pricing verified October 2026.
Kostenlose Testversion: There’s no separate trial. The free plan works as a permanent trial with basic features.
Geld-zurück-Garantie: Make doesn’t offer refunds by default. It reviews requests case by case.
📌 Notiz: The prices above reflect annual billing. Paying monthly costs more: Core is $10.59, Pro is $18.82, and Teams is $34.12. Every plan counts operations toward a monthly limit.
⚠️ Warnung: Each module run counts as one operation. A scenario with many steps can burn through your monthly limit fast. Watch your usage dashboard to avoid surprise upgrades.
Key Benefits of Make
Here’s what makes Make worth considering:
- Extensive integration capabilities: Make connects with 2,000+ apps. You can chain as many apps as you want in a single scenario.
- Complex logic without code: Iterators, aggregators, filters, and conditional logic come built in. You get full control over how data moves.
- Custom API calls: Can’t find an app? The HTTP module sends http requests to almost any API.
- Error handling: You can set routes for failed steps. Clear error messages help you fix broken runs.
- Cost effective pricing: Most paid plans run between $9 and $29. Reviews often call it cheaper than Zapier and Pipedream.
- Great resources: A large community, docs, and tutorials support your automation journey.
What Our Team Noticed
Unser Schriftsteller used Make to build real automations for marketing and inventory tasks. Here’s what stood out:
Make Pros & Cons
✅ Vorteile
- Visual builder handles branches, loops, and filters
- Connects to 2,000+ apps plus custom APIs via HTTP
- Paid plans start at $9 per month
- Large community, docs, and tutorials
❌ Nachteile
- Steep learning curve for advanced workflows
- Operation-based pricing takes time to estimate
- No refunds by default
Was ist Gumloop?
Gumloop is a no code AI automation tool.
You connect blocks called nodes on a visual canvas.
Each node handles one job, like scraping a page or calling AI models.
It targets non technical users and teams with repetitive tasks.
You never have to write code to get started.
Marketers, freelancers, and Kleinunternehmen owners use it as a virtual assistant.
Its Gummie AI Assistent can even draft a whole flow from plain English.
This video shows how Gumloop builds a flow from start to finish.
Gumloop
Build ai agents that scrape, summarize, and sort data. Start with 2,000 free credits. SOC 2 Type 2 and GDPR compliant.
Gumloop-Preise
Gumloop pricing plans run on credits instead of operations.
| Planen | Preis | Am besten geeignet für |
|---|---|---|
| Frei | Frei | Testing basic AI nodes |
| Solo | $30 | Freelancers running a few AI flows |
| Team | $195 | Marketing teams sharing workflows |
| Unternehmen | Brauch | Companies needing dedicated infrastructure |
Pricing verified October 2026.
Kostenlose Testversion: The free plan gives you 2,000 credits after onboarding. No card needed to start.
Geld-zurück-Garantie: Gumloop doesn’t publish a clear refund policy. Ask support before you upgrade.
📌 Notiz: Gumloop offers a 20% discount code for new users. That cuts the monthly cost on paid plans.
⚠️ Price check: Some review sites list a $97 per month starting price for Gumloop. Plans change often, so confirm the current price at checkout.
Key Benefits of Gumloop
Here’s where Gumloop earns its place:
- AI driven automation: Nodes can run sentiment analysis and lead scoring. You get real time data insights inside your flows.
- Web scraping built in: Pull web data from any site. Turn scraped data into structured data in Google Sheets.
- Document processing: Extract fields from PDFs and documents. No manual copy-paste needed.
- Gummie KI-Assistent: Describe your goal in plain words. Gummie scaffolds the flow and troubleshoots errors.
- Sicherheit compliance: Gumloop is SOC 2 Type 2 and GDPR compliant. That matters when you handle customer data.
- Pre built templates: Ready-made flows cover Keyword-Recherche, CRM updates, and support tickets.
What Our Team Noticed
Our writer signed up for Gumloop and built scraping and summary flows for SEO efforts. Here’s what stood out:
Gumloop Pros & Cons
✅ Vorteile
- Gummie AI assistant drafts workflows from plain English
- Strong web scraping and PDF data extraction
- SOC 2 Type 2 and GDPR compliant
- Ready-made templates for marketing and SEO
❌ Nachteile
- Big price jump from free to paid
- Credit costs are hard to predict
- Kein Live-Chat-Support
Funktionsvergleich
Both tools let you build workflows without writing code. But they shine at different jobs. Here are ten areas where the gap shows up.
| Besonderheit | Machen | Gumloop |
|---|---|---|
| Starting Paid Price | 9 US-Dollar pro Monat | $30 |
| Kostenloser Plan | ✅ | ✅ (2,000 credits) |
| Visual Workflow Builder | ✅ | ✅ |
| KI-Agenten | ✅ | ✅ |
| Built-in Web Scraping | ❌ | ✅ |
| Custom API Calls (HTTP) | ✅ | ✅ |
| Iterators & Aggregators | ✅ | ❌ |
| Chrome-Erweiterung | ❌ | ✅ |
| Live-Chat-Support | ❌ | ❌ |
| Am besten geeignet für | App-to-app business workflows | AI workflows and web data |
1. Visual Workflow Builder
Machen: Make’s workflow builder shows each scenario as a chain of round modules. You drag routes, filters, and loops right onto the canvas. This visual approach makes complex automation easier to read at a glance.
Gumloop: Gumloop uses a drag and drop builder with nodes. Gumloop’s UI feels clean and simple to map out. Reviews praise its user friendly interface for first flows.
2. AI Agents and AI Workflows
Machen: Make AI Agents can reason through steps and pick actions. You plug them into existing scenarios. AI is one part of Make, not the whole product.
Gumloop: AI is the core of Gumloop. It’s an ai powered platform where nodes call AI models to write, sort, and summarize. Gumloop AI can also draft content for a blog post or email.
3. Complex Logic and Error Handling
Machen: This is Make’s home turf. It handles branching paths, repeated steps, and data parsing. It supports more complex workflows than most automation tools at its price.
Gumloop: Gumloop handles complex tasks through chained AI nodes. But some reviews note it lacks deep customization for complex workflows. You can add custom nodes, though setup takes effort.
4. Web Scraping and Data Extraction
Machen: Make has no native Schaber. You can fetch pages with HTTP modules or add third party services. It’s better at syncing data between apps you already use, like lead forms and CRMs.
Gumloop: Scraping is built right in. Gumloop pulls web data and pushes it into a sheet or CRM. Data extraction from PDFs works in the same flow.
💡 Profi-Tipp: Scraping is credit-heavy on Gumloop. Test one small batch first to see how fast credits drop.
5. Integrations and API Calls
Machen: Make connects to 2,000+ apps across various applications and popular tools. If an app is missing, its HTTP module handles API integrations directly. IT teams use it to tie internal tools together.
Gumloop: Does Gumloop integrate with your stack? It covers common apps like Google Sheets, Zendesk, and CRMs. The library is smaller, so check your existing tools first.
6. Vorlagen
Machen: Make’s templates gallery covers sales, e commerce, and support use cases. You copy one, swap in your accounts, and tweak the steps.
Gumloop: Gumloop calls its templates “flows.” They lean toward KI-Tools for scraping, SEO, and lead research. You can adapt any one into your own workflow.
7. Marketing and Social Media
Machen: Make schedules posts and moves leads between ad tools and CRMs. It’s solid for simple tasks like posting new blog content to social channels.
Gumloop: Gumloop goes deeper for a marketing team. It can pull Google Analytics reports and run keyword checks. It also listens to social mentions and scores sentiment.
Social listening is a separate Gumloop flow worth a look.
8. Document and Back-Office Automation
Machen: Make automates contracts and invoices across your apps. It can create a contract, send it for signing, and file the result.
Invoice automation follows the same pattern.
Gumloop: Gumloop reads documents with AI. It pulls key fields from PDFs and turns them into rows. That’s useful for data processing at scale.
9. Ease of Use and Support
Machen: Simple scenarios are easy. Advanced ones demand some technical know how about APIs and data. Its community and docs help when you get stuck.
Gumloop: Gumloop promises no coding skills. Yet many reviews mention an initial learning curve anyway. Its Chrome extension helps you run flows from any page.
Gumloop’s pre-built templates also shorten that ramp-up.
⚠️ Warnung: Gumloop’s customer support runs through email and community forums. There’s no live chat if a flow breaks mid-launch.
10. Preisgestaltung & Kosten
Here are both pricing tables side by side.
| Stufe | Machen | Gumloop |
|---|---|---|
| Frei | Free: $0 per month | Kostenlos: Kostenlos |
| Eintrag | Core: $9 per month | Solo: $30 |
| Mitte | Pro: $16 per month | — |
| Team | Teams: $29 per month | Team: $195 |
| Unternehmen | Individuelle Preisgestaltung | Brauch |
Machen: Make’s pricing model counts operations. It’s easy to predict once you know your volume. There are no hidden fees beyond buying extra operations.
Gumloop: Credit costs scale with workflow complexity. Heavy AI tasks drain credits fast. That’s why some users report unexpected bills.
Verschiedene Szenarien
| Falls Sie Folgendes benötigen: | Wählen | Warum |
|---|---|---|
| Knappes Budget | Machen | Paid plans start much lower |
| Web scraping | Gumloop | Native scraping nodes |
| Many app connections | Machen | 2,000+ apps plus HTTP |
| AI document work | Gumloop | Built for PDFs and AI models |
| Complex branching logic | Machen | Routers, iterators, error routes |
| Beginner friendly start | Gumloop | Gummie drafts flows for you |
💰 Ihr Budget
Make wins clearly here. A single paid plan on Gumloop costs more than Make’s Teams tier.
🔌 Dein Tech-Stack
If you rely on niche apps, Make likely supports them. Gumloop fits best when your stack is Google tools and a CRM.
📝 Your Work Type
Moving data between apps points to Make. Researching, scraping, and summarizing points to Gumloop.
🎓 Dein Erfahrungslevel
Neither tool needs coding expertise. Both have a learning curve once you move past basics.
🆓 Kostenlose Testversionen und Demos
Both offer a free plan with no time limit. Build the same small flow in each before you decide.
🛟 Supportoptionen
Make has a bigger community and more tutorials. Gumloop offers email and forum help only.
Umstellungsleitfaden
Nutzen Sie bereits eines dieser Tools? Hier erfahren Sie, was Sie beim Wechsel erwartet.
🔄 Switching from Make to Gumloop?
✅ Was Sie davon haben:
- Native web scraping and PDF extraction
- Gummie AI to draft and fix flows
- A Chrome extension for quick runs
❌ Was Sie verlieren werden:
- Access to 2,000+ app connectors
- Iterators, aggregators, and error routes
- Niedrigere monatliche Preise
📋 So wechseln Sie:
- List your Make scenarios and note each trigger and app.
- Create a free Gumloop account and pick a matching flow template.
- Rebuild one scenario, test it, then deploy automations one by one.
🔄 Switching from Gumloop to Make?
✅ Was Sie davon haben:
- Far more app integrations
- Predictable operation-based billing
- Deeper control over logic and errors
❌ Was Sie verlieren werden:
- Built-in scraping nodes
- The Gummie AI flow builder
- The Chrome extension
📋 So wechseln Sie:
- Export your Gumloop outputs and note each node’s job.
- Sign up for Make’s free plan and connect your apps.
- Rebuild each flow as a scenario and run a test.
What Our Review Didn’t Cover
This comparison focused on solo users, marketers, and small teams. We didn’t evaluate Enterprise plans, custom contracts, or SSO setups. We also didn’t measure exact credit burn on large Gumloop scraping jobs. Details reflect the October 2026 versions, so check each site for up to date pricing.
Endgültiges Urteil
| Kategorie | Gewinner |
|---|---|
| 💰 Preisgestaltung | Machen |
| 🔌 Integrationen | Machen |
| 🧠 Complex Logic | Machen |
| 🤖 KI-Agenten | Gumloop |
| 🕸️ Web Scraping | Gumloop |
| 👶 Benutzerfreundlichkeit | Gumloop |
| 🛟 Support & Community | Machen |
| 🏆 Gesamtsieger | Machen |
🏆 WINNER: MAKE
Make wins 4 out of 7 categories.
Ideal für: Small businesses, app-to-app automation, budget-conscious teams
Make is the better pick for most people. It gives you one platform for nearly every app you use. It’s cheaper and handles complex logic well. If you want to automate workflows across your business, start there.
Gumloop still earns a spot. It’s a strong workflow tool for AI automation, scraping, and document work. Is Gumloop worth it? Yes, if AI tasks make up most of your work.
Want to dig deeper? Try both free plans with one real task. The right choice usually shows up within an hour.
More of Make Compared
Here’s how Make stacks up against other automation platforms:
Make wins on: branching paths and loops, lower cost per run, deeper data parsing.
Zapier wins on: a simpler linear setup, a bigger app library, faster first automations.
Make wins on: no hosting to manage, a gentler setup, a polished visual canvas.
n8n Siege bei: self-hosting options, code nodes for developers, more freedom for internal data.
Make wins on: richer logic tools, AI agents, a larger template gallery.
Pabbly Connect wins on: lifetime deal options, flat task pricing, a simpler interface for basics.
More of Gumloop Compared
Here’s how Gumloop stacks up against other KI-Tools:
Gumloop wins on: native scraping, AI-first nodes, PDF extraction.
Zapier wins on: far more app connections, simpler trigger-action setup, a broader user base.
Gumloop wins on: no-setup cloud use, Gummie AI help, ready AI templates.
n8n wins on: self-hosting, open source code, lower long-run cost for heavy use.
Gumloop vs Lindy
Gumloop wins on: visual node control, scraping depth, data-heavy flows.
Lindy wins on: advanced AI decision-making, agent-style assistants, complex multi-step reasoning.
Gumloop vs Thunderbit
Gumloop wins on: full workflow automation, AI processing after scraping, team plans.
Thunderbit wins on: lower price, simpler scraping, faster setup for basic jobs.
Häufig gestellte Fragen
Wozu wird Make.com verwendet?
It connects apps and runs automated processes without code. Teams use it for marketing tasks, inventory updates, lead routing, and customer messages.
Ist Make.com schwer zu bedienen?
Basic scenarios are easy to set up. Advanced logic and API work take practice. Its tutorials and community help shorten the learning curve.
Wie viel kostet Gumloop?
There’s a free plan with 2,000 credits. Paid plans are Solo at $30 and Team at $195. Enterprise uses custom pricing.
Was kann Gumloop?
It scrapes websites, extracts data from PDFs, and updates CRMs. It also summarizes notes, sorts emails, and runs AI-based lead scoring.
Ist Make besser als Zapier?
For complex logic and lower cost, yes. Zapier is quicker for simple, linear setups. Both Zapier and Make cover most popular apps.
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