⚡ Verdict rapide :
- Tarification : Make starts at $9 per month. Gumloop’s Solo plan starts at $30.
- Idéal pour : Make for entreprise workflows across many apps. Gumloop for AI workflows like web scraping and données extraction.
- Différence principale : Make bills by operations. Gumloop uses a credit based system that scales with AI usage.
- Notre choix : 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 automation 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.
Aperçu
This Make vs Gumloop comparison covers pricing, key features, ease of use, and support.
Nous avons examiné la documentation, les pages de tarification et les avis des utilisateurs pour les deux. automation plateformes.
Nos rédacteurs ont également passé du temps à manipuler chaque plante.
Ces observations figurent dans les sections « Ce que notre équipe a remarqué » ci-dessous.
Qu'est-ce que 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 travailleurs indépendants et les grandes entreprises également.
Here’s a quick walkthrough of the Make app in action.
Faire
Build multi step workflows with branches, loops, and filters. Connect your favorite apps on one visual canvas. Start on the free plan.
Établir les prix
Make’s pricing plans start free and stay low for most users.
| Plan | Prix | Idéal pour |
|---|---|---|
| Gratuit | 0 $ par mois | Simple workflows and testing |
| Cœur | 9 $ par mois | Solo users with a few scenarios |
| Pro | 16 $ par mois | Utilisateurs experts ayant besoin de fonctionnalités avancées |
| Équipes | 29 $ par mois | petites entreprises sharing scenarios |
| Entreprise | Tarification personnalisée | Large enterprises with strict needs |
Pricing verified October 2026.
Essai gratuit : There’s no separate trial. The free plan works as a permanent trial with basic features.
Garantie de remboursement : Make doesn’t offer refunds by default. It reviews requests case by case.
📌 Note: 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.
⚠️ Avertissement: 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.
Ce que notre équipe a remarqué
Notre écrivain used Make to build real automations for marketing and inventory tasks. Here’s what stood out:
Make Pros & Cons
✅ Avantages
- 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
❌ Inconvénients
- Steep learning curve for advanced workflows
- Operation-based pricing takes time to estimate
- No refunds by default
Qu'est-ce que 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 petite entreprise owners use it as a virtual assistant.
Its Gummie AI assistant 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.
Prix des Gumloops
Gumloop pricing plans run on credits instead of operations.
| Plan | Prix | Idéal pour |
|---|---|---|
| Gratuit | Gratuit | Testing basic AI nodes |
| Solo | $30 | Freelancers running a few AI flows |
| Équipe | $195 | Marketing teams sharing workflows |
| Entreprise | Coutume | Companies needing dedicated infrastructure |
Pricing verified October 2026.
Essai gratuit : The free plan gives you 2,000 credits after onboarding. No card needed to start.
Garantie de remboursement : Gumloop doesn’t publish a clear refund policy. Ask support before you upgrade.
📌 Note: 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 Assistant IA: Describe your goal in plain words. Gummie scaffolds the flow and troubleshoots errors.
- Sécurité compliance: Gumloop is SOC 2 Type 2 and GDPR compliant. That matters when you handle customer data.
- Modèles prédéfinis : Ready-made flows cover recherche de mots clés, CRM updates, and support tickets.
Ce que notre équipe a remarqué
Our writer signed up for Gumloop and built scraping and summary flows for SEO efforts. Here’s what stood out:
Gumloop Pros & Cons
✅ Avantages
- 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
❌ Inconvénients
- Big price jump from free to paid
- Credit costs are hard to predict
- Aucun support par chat en direct
Comparaison des fonctionnalités
Both tools let you build workflows without writing code. But they shine at different jobs. Here are ten areas where the gap shows up.
| Fonctionnalité | Faire | Gumloop |
|---|---|---|
| Prix de départ payé | 9 $ par mois | $30 |
| Plan gratuit | ✅ | ✅ (2,000 credits) |
| Générateur de flux de travail visuel | ✅ | ✅ |
| Agents IA | ✅ | ✅ |
| Built-in Web Scraping | ❌ | ✅ |
| Custom API Calls (HTTP) | ✅ | ✅ |
| Iterators & Aggregators | ✅ | ❌ |
| Extension Chrome | ❌ | ✅ |
| Assistance par chat en direct | ❌ | ❌ |
| Idéal pour | App-to-app business workflows | AI workflows and web data |
1. Générateur de flux de travail visuel
Faire: 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
Faire: 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
Faire: 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
Faire: Make has no native grattoir. 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.
💡 Conseil de pro : Scraping is credit-heavy on Gumloop. Test one small batch first to see how fast credits drop.
5. Integrations and API Calls
Faire: 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. Modèles
Faire: 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 outils d'IA for scraping, SEO, and lead research. You can adapt any one into your own workflow.
7. Marketing and Social Media
Faire: 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
Faire: 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. Facilité d'utilisation et assistance
Faire: 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.
⚠️ Avertissement: Gumloop’s customer support runs through email and community forums. There’s no live chat if a flow breaks mid-launch.
10. Tarification et coût
Here are both pricing tables side by side.
| Étage | Faire | Gumloop |
|---|---|---|
| Gratuit | Free: $0 per month | Gratuit : Gratuit |
| Entrée | Core: $9 per month | Solo: $30 |
| Milieu | Pro: $16 per month | — |
| Équipe | Teams: $29 per month | Team: $195 |
| Entreprise | Tarification personnalisée | Coutume |
Faire: 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.
Différents scénarios
| Si vous avez besoin | Choisir | Pourquoi |
|---|---|---|
| budget serré | Faire | Paid plans start much lower |
| Extraction de données Web | Gumloop | Native scraping nodes |
| Many app connections | Faire | 2,000+ apps plus HTTP |
| AI document work | Gumloop | Built for PDFs and AI models |
| Complex branching logic | Faire | Routers, iterators, error routes |
| Débuter en douceur | Gumloop | Gummie drafts flows for you |
💰 Votre budget
Make wins clearly here. A single paid plan on Gumloop costs more than Make’s Teams tier.
🔌 Votre pile technologique
If you rely on niche apps, Make likely supports them. Gumloop fits best when your stack is Google tools and a CRM.
📝 Votre type de travail
Moving data between apps points to Make. Researching, scraping, and summarizing points to Gumloop.
🎓 Votre niveau d'expérience
Neither tool needs coding expertise. Both have a learning curve once you move past basics.
🆓 Essais et démos gratuits
Both offer a free plan with no time limit. Build the same small flow in each before you decide.
🛟 Options d'assistance
Make has a bigger community and more tutorials. Gumloop offers email and forum help only.
Guide de changement
Vous utilisez déjà l'un de ces outils ? Voici à quoi vous attendre si vous en changez.
🔄 Switching from Make to Gumloop?
✅ Ce que vous y gagnerez :
- Native web scraping and PDF extraction
- Gummie AI to draft and fix flows
- A Chrome extension for quick runs
❌ Ce que vous perdrez :
- Access to 2,000+ app connectors
- Iterators, aggregators, and error routes
- Prix mensuels réduits
📋 Comment changer :
- 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?
✅ Ce que vous y gagnerez :
- Far more app integrations
- Predictable operation-based billing
- Deeper control over logic and errors
❌ Ce que vous perdrez :
- Built-in scraping nodes
- The Gummie AI flow builder
- The Chrome extension
📋 Comment changer :
- 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.
Ce que notre analyse n'a pas couvert
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.
Verdict final
| Catégorie | Gagnant |
|---|---|
| 💰 Tarification | Faire |
| 🔌 Intégrations | Faire |
| 🧠 Complex Logic | Faire |
| 🤖 Agents IA | Gumloop |
| 🕸️ Web Scraping | Gumloop |
| 👶 Facilité d'utilisation | Gumloop |
| 🛟 Support & Community | Faire |
| 🏆 Vainqueur toutes catégories | Faire |
🏆 WINNER: MAKE
Make wins 4 out of 7 categories.
Idéal pour : 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:
Gagnez des victoires sur : branching paths and loops, lower cost per run, deeper data parsing.
Zapier l'emporte sur : a simpler linear setup, a bigger app library, faster first automations.
Gagnez des victoires sur : no hosting to manage, a gentler setup, a polished visual canvas.
n8n victoires sur : self-hosting options, code nodes for developers, more freedom for internal data.
Gagnez des victoires sur : richer logic tools, AI agents, a larger template gallery.
Pabblely 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 outils d'IA:
Gumloop gagne sur : native scraping, AI-first nodes, PDF extraction.
Zapier l'emporte sur : far more app connections, simpler trigger-action setup, a broader user base.
Gumloop gagne sur : no-setup cloud use, Gummie AI help, ready AI templates.
n8n gagne sur : self-hosting, open source code, lower long-run cost for heavy use.
Gumloop vs Lindy
Gumloop gagne sur : 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 gagne sur : full workflow automation, AI processing after scraping, team plans.
Thunderbit wins on: lower price, simpler scraping, faster setup for basic jobs.
Foire aux questions
À quoi sert Make.com ?
It connects apps and runs automated processes without code. Teams use it for marketing tasks, inventory updates, lead routing, and customer messages.
Make.com est-il difficile à utiliser ?
Basic scenarios are easy to set up. Advanced logic and API work take practice. Its tutorials and community help shorten the learning curve.
Combien coûte un Gumloop ?
There’s a free plan with 2,000 credits. Paid plans are Solo at $30 and Team at $195. Enterprise uses custom pricing.
Que peut faire Gumloop ?
It scrapes websites, extracts data from PDFs, and updates CRMs. It also summarizes notes, sorts emails, and runs AI-based lead scoring.
Make est-il meilleur que 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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