Gumloop vs Make: How Do They Compare in 2026?

Written by
Marvin Aziz
Growth Engineer

Marvin compared Gumloop, Make, and Lindy for automation, noting Gumloop's browser strengths, Make's complex flow handling, and Lindy's AI workflows across features and pricing.

Last Updated: May 26, 2025

Table of contents

• Gumloop vs Make
• Gumloop
• Make
• Lindy
• Choosing the right platform
• Frequently asked questions
• Lindy: A simple alternative

Weighing Gumloop vs Make vs Lindy for workflow automation? Here’s what you need to know: Gumloop is good for quick browser automations. Make is better for multi-step automations. Lindy is best for AI automations, from handling emails to scheduling meetings without programming.

In this article, we’ll cover:

• Head-to-head comparison of Gumloop, Make, and Lindy
• Reviews of features, pricing, and ideal use cases
• Use cases for each platform
• Picking the right platform for your needs

Comparing automation platforms? First explore make com pricing to understand the cost structure and plan options available.

Gumloop vs Make: At a glance

Gumloop

Gumloop creates no-code automations via a Chrome extension. It also lets you run pre-made automations, which Gumloop calls “flows,” directly from your Gumloop account. To evaluate how it compares to other traditional automation tools, read our breakdown of gumloop vs zapier software.

Features

• No-code drag-and-drop builder: Gumloop offers a visual editor for assembling browser-extension workflows. You can drag unique actions to the building interface to execute tasks like scraping pinpointed data from websites.
• Browser automation with Chrome extension: Gumloop’s Chrome extension lets you run workflows that interact directly with web pages. This enables you to automate site navigation or user simulations triggered from your browser without backend configuration.
• Library of premade flow templates: The platform provides over 80 premade flows, which offer quick and simple automation. For instance, simply upload a PDF or JPEG and prompt which fields you want extracted, or enter a keyword for instant SEO research.

Pros

• Time-saving customizability at scale: Gumloop supports subflows, reusable templates, and AI-generated custom nodes, offering a unique level of modularity. Teams can create and reuse particular workflows across departments without reconfiguring logic, saving time.
• Enterprise-ready infrastructure: You can scale the platforms to millions of nodes daily and execute concurrent steps, ensuring fast performance even in complex workflows. It’s SOC 2, HIPAA, and GDPR-compliant, with features like access control and encrypted data handling.

Cons

• Expensive starter pricing: Gumloop’s lowest paid tier starts at $97/month, which may be prohibitive for casual users or freelancers. If this high starting cost is a concern, check out our guide to top gumloop competitors software.
• Learning curve: It takes some time to learn to build complex browser-extension flows and familiarize yourself with the vast node library.

Pricing

Gumloop pricing starts at $97/month, providing 30,000 monthly credits. However, each flow consumes a different number of credits. For instance, scraping a website takes over 40 credits, while SEO keyword research burns 30. To evaluate how credit limits impact your budget, explore our detailed breakdown of gumloop pricing software.

Ideal Users

Gumloop is best suited for marketers, solopreneurs, and businesses that need quick data extraction automations. It’s also suitable for those needing to create customized automations as a browser extension for web research. If you are evaluating technical alternatives for complex workflows, compare gumloop vs n8n software to see how they differ.

Make

Make is a no-code automation platform for building, testing, and running multi-step workflows across thousands of applications. The platform features a drag-and-drop interface and modular structure called Scenarios.

Features

• Visual Scenario builder: Make’s primary feature is the Scenario, which handles and maps your automations. Each scenario is built by connecting building blocks that perform specific functions, like retrieving emails or updating CRM entries. You can visually trace how data flows step-by-step. They allow you to build, test, and debug complex workflows without coding.
• 2,000+ native app integrations: Make connects with a large number of popular tools, including Google Workspace, Shopify, HubSpot, Slack, and Airtable. This allows for quick data transfer and workflow automations between the apps you use daily.
• Advanced data handling: Make supports loops, routers, conditional logic, and data transformation — like filtering CRM records or batching emails. It allows you to handle nested datasets, apply filters, and execute intricate business logic. This is ideal if you need deep workflows beyond simple one-to-one integrations.

Pros

• High flexibility and customization: Make is ideal if you need precise control over how data is routed, transformed, and processed.
• Budget-friendly entry point: Make offers a generous free plan and paid plans starting at just $9/month with 10,000 operations. This makes it accessible for teams who want to experiment with automation before committing to higher-tier plans.

Cons

• Steeper learning curve for beginners: Beginners may find the interface intimidating and struggle to understand data mapping, logic branching, or error handling. Grasping the platform usually requires consulting documentation or tutorials.
• Advanced AI is only available on the higher-tiered plan: Access to high-performing models like GPT-o3, Claude Sonnet, or custom API key control is limited to higher-tier or Enterprise plans. This creates a gap if you’re seeking robust AI, but aren’t on an enterprise budget.

Pricing

Make’s Core Plan starts at $9/month, providing unlimited scenarios and lets you run up to 10,000 ops (workflows) per month. The Pro Plan, at $16/month, allows for custom variables and priority execution for those seeking more complex workflows.

Ideal Users

Make is compatible with tech-savvy professionals, growth teams, and developers needing to automate multi-step workflows with precision. It's also valuable for small to medium-sized businesses on a budget with cross-functional needs. This includes syncing data between CRM, ERP, and customer support tools or e-commerce teams running high-volume operations.

Lindy

Lindy is a no-code AI automation-building platform that enables you to create AI agents — no development skills required. We designed Lindy with AI at its core, so it’s more intuitive to build AI automations than Make or Gumloop. You can automate workflows across sales, recruiting, support, and admin functions.

Features

• Premade templates for agent building: You can make your agents using pre-built templates for quick deployment. Each template has configurable settings, including context and confirmation steps, allowing for adaptable and controlled automation​.
• Multi-functional AI assistants: Your agents can act across email, web, Slack, or as embedded chatbots. They can extract data from CSV files and PDFs, summarize information, converse with customers, or record meeting notes. Build phone agents to handle inbound and outbound calls. They can forward calls to a human based on context.
• Tons of third-party integrations: Lindy natively integrates with hundreds of popular apps, such as Slack, Gmail, HubSpot, and Airtable. Through partnerships with Pipedream and Apify, Lindy integrates with over 2,500 apps in total.

Pros

• Versatile and intuitive AI automations: Lindy lets you create agents that exceed traditional rule-based trigger/automation workflows. They use AI to understand more context, so they’re easier to set up and prompt. From note-taking and summarization to document extraction, each assistant can more easily accomplish the task without extensive training. If you are exploring top make alternatives, AI-driven platforms like Lindy offer a flexible solution beyond traditional workflow tools.
• Enterprise-grade compliance and security : Lindy is SOC 2 Type II and HIPAA-compliant, encrypts all data (AES-256), and allows you to set role-based access. It also avoids using customer data for model training, making it suitable for sensitive industries like healthcare, legal, and finance.

Cons

• Learning curve for complex automations: Building multi-step automations is less intuitive than creating simple one-step workflows. Check out the Lindy Academy to learn the concepts.

Pricing

Lindy’s Pro plan starts at $49.99/month ​ and offers up to 5,000 monthly task automations. The $299.99/month business plan lets you automate up to 30,000 monthly tasks and provides advanced inbound/outbound call handling.

Ideal Users

Lindy works well for folks who want to build AI automations without coding. The platform lets you create automations that can offload manual day-to-day tasks. It handles meeting scheduling, note-taking, summary distribution, and other time-consuming tasks out of the box.

Which automation platform should you choose?

Let’s identify which platform best aligns with your goals. We’ll examine how each of Gumloop, Make, and Lindy’s features supports different business requirements. Here’s how to select each platform:

Choose Gumloop if…

• You want to automate browser-based tasks: Gumloop’s Chrome extension transforms web automation from a developer-only task into a no-code process. It lets you extract competitor pricing data, fill out forms in a snap, record actions, and perform click-through steps from your browser.
• You’re building scalable, modular automations: With its subflows and custom node system, Gumloop excels in building scalable and reusable automations. Its configurable logic and reusable components let you manage multiple brands, products, or departments.

Choose Make if …

• You need detailed control over complex, multi-step automations: Make is ideal when your workflows demand branching logic, conditional paths, data iterations, or variable storage. It lets you construct flows that react to nuanced data inputs, apply filters mid-execution, and rapidly loop through complex datasets.
• You need a budget-friendly automation platform: Make is among the most cost-effective automation platforms for high-volume workflows, offering 10,000 operations/month at just $9. This makes it congruent with the needs of startups, solo founders, and freelancers. Ultimately, Make delivers an excellent balance of features and pricing.

Choose Lindy if…

• You want AI agents working together for cross-department automations: Create agents that schedule and record meetings, automate sales tasks, organize emails, and more. Lindy’s pricing plans allow you to automate up to 30,000 monthly tasks, making it scalable for small and large teams.
• You want to deploy simple AI automations without coding: Lindy’s extensive template library lets you build and deploy 1 or 2-step automations in minutes. These pre-built templates cover dozens of everyday workflows. They come with built-in AI logic, so you don’t need to fine-tune prompts or set up complex rules with programming.

Frequently asked questions

Which platform is easiest to use?

Lindy is generally the easiest to use for beginners or non-technical users. It offers prebuilt templates for simple AI automations, a drag-and-drop interface, and clear setup paths for tasks like email responses or web research. Make and Gumloop offer drag-and-drop interfaces for building no-code automations. They also provide more control and customization but have steeper learning curves. This is especially true for workflows requiring logic branching, custom nodes, or browser-based automations.

Is Gumloop free?

Gumloop offers a free plan with 1,000 monthly credits, which allows limited workflow execution. However, its flagship features, such as sub-flows, advanced AI nodes, and higher usage caps, are locked behind paid plans. Still, the free plan gives you enough to test the platform’s core capabilities before committing to a subscription.

Can Lindy be used for marketing workflows?

Yes, Lindy is well-suited for marketing workflows. You can automate lead follow-ups, CRM enrichment, content summarization, and email outreach. Its AI agents can extract customer data, schedule meetings, or manage inbound inquiries, making it ideal for automating repetitive marketing tasks.

Are Gumloop, Make, and Lindy HIPAA/GDPR-compliant?

Both Gumloop and Lindy are HIPAA-compliant, but Make is not. Lindy isn’t GDPR-compliant, but Make and Gumloop are. HIPAA compliance makes Gumloop and Lindy suitable for the healthcare and insurance industries.

Lindy: A simple Gumloop and Make alternative

Stuck between Gumloop vs. Make? Try Lindy instead — it allows you to build AI automations without coding using premade templates and a straightforward drag-and-drop interface.