快速入门
本指南涵盖了 Make 的所有功能：
- 入门 — Create your account and build your first automation
- 如何使用人工智能代理 — Build autonomous AI agents that run tasks for you
- 如何使用社交媒体自动化 — Schedule and automate posts across platforms
- 如何使用 IT 工作流自动化 — Automate monitoring, alerts, and incident response
- 如何使用自动化潜在客户开发 — 自动捕获和分配销售线索
- 如何使用合同自动化 — Send, track, and manage contracts hands-free
- 如何使用 Agentic Automation — Create AI-driven workflows with decision-making
- 如何使用可视化编排自动化 — Design and manage workflows on a visual map
- 如何使用发票自动化 — Process invoices without manual data entry
- 如何使用模板库 — Start with pre-built workflows and customize them
所需时间： 每部影片 5 分钟
本指南还包含以下内容： 专业提示 | 常见错误 | 故障排除 | 定价 | 替代方案
为什么信任本指南
I’ve used Make for over a year and tested every feature covered here. This how to Use Make AI tutorial comes from real hands-on experience — not marketing fluff or vendor screenshots.
Make is one of the most powerful no-code 自动化 目前可用的工具。
但大多数用户仅仅触及了它功能的冰山一角。
本指南将向您展示如何使用所有主要功能。
一步一步教你，附带截图和专业技巧。
制作教程
This complete Make tutorial walks you through every feature step by step, from initial setup to advanced tips that will make you a power user. We’ll introduce the fundamentals first, then cover advanced capabilities — and if you want to go deeper, Make also offers free courses on their YouTube 渠道。
制作
Automate workflows by connecting 3,000+ apps visually — no coding required. Make lets you build AI agents, automate 商业 processes, and send data between tools in minutes. Start free with 1,000 credits per month.
Make入门指南
使用任何功能之前，请先完成此一次性设置。
大约需要3分钟。
现在让我们一步一步来。
第一步：创建您的帐户
请访问 Make 的网站 make.com。
点击右上角的“免费开始使用”。
请输入您的电子邮件地址并创建密码。
您也可以使用 Google 或 GitHub 账号注册。
✓ 检查点： 检查你的 收件箱 请发送确认邮件。
步骤二：访问控制面板
Make runs directly in your browser — no download needed.
It’s accessible on all 设备 including desktop and mobile.
使用您的新帐户凭据登录。
You’ll see the main dashboard with a list of your scenarios on the left.
✓ 检查点： You should see the main dashboard with your scenarios list.
步骤 3：完成初始设置
Make will ask what you want to automate during onboarding.
Select your use case — this helps Make suggest relevant templates.
Connect your first app by searching the 3,000+ integrations library.
Grant the required permissions so Make can run automations for you.
✅ 完成： 您已准备好使用以下任何功能。
如何使用创建人工智能代理
人工智能代理 让你创建 自主 AI agents that handle tasks without manual input.
以下是使用步骤。
观看人工智能代理的实际操作：
现在让我们逐一分析每个步骤。
Step 1: Open the AI Agents Builder
点击仪表盘左侧边栏中的“AI 代理”。
Select “Create new agent” to start building from scratch.
You’ll see a real-time visual map where you define your agent’s goal.
Step 2: Define Agent Instructions and Tools
Write clear instructions that tell the agent what to do.
Add tools the agent can use — like search, send email, or update data.
Assign a knowledge base so the agent has context for its decisions.
这就是它的样子：
✓ 检查点： Your agent should show assigned tools and instructions on the visual map.
步骤 3：测试并部署代理
Click “Run” to test your agent with a sample input.
Check the execution log to see each step the agent executed.
Once the output matches your goal, toggle the agent to “Active.”
✅ 结果： Your AI agent now runs autonomously and handles tasks based on your defined instructions.
💡 专业提示： Start with a simple agent that does one thing well. Add more tools and capabilities after you realize it works correctly. Complex agents with too many modules added at once are harder to debug.
如何使用社交媒体自动化
社交媒体 自动化 lets you schedule, publish, and manage posts across multiple platforms from one workflow.
以下是使用步骤。
观看社交媒体自动化实际应用：
现在让我们逐一分析每个步骤。
第一步：创建新场景
Click “Create a new scenario” from your dashboard.
Search for your social media app — Instagram, Facebook, X, or LinkedIn.
Add the module to your scenario canvas.
Step 2: Set Up Your Trigger and Actions
Choose a trigger — for example, “Watch new rows in Google Sheets.”
Connect the data output to your social media posting module.
Map the fields: post 文本, image file, and scheduled time.
✓ 检查点： You should see connected modules with green lines showing data flow.
Step 3: Activate and Schedule
Click “Run once” to test with a sample post.
Check the execution details to confirm the post went live.
Set your schedule — typically every 15 minutes or once per hour.
✅ 结果： Your social media posts now publish automatically from your content spreadsheet.
💡 专业提示： Use a filter module to check for empty rows before posting. This prevents your scenario from sending blank posts and wasting credits on errors.
如何使用Make IT工作流自动化
IT 工作流自动化 lets you automate monitoring, incident response, and support ticket routing without writing code.
以下是使用步骤。
观看 IT 工作流自动化实际应用：
现在让我们逐一分析每个步骤。
Step 1: Select Your IT Monitoring App
Create a new scenario and search for your IT tool.
Popular choices include Jira, PagerDuty, Datadog, and Slack.
Add the “Watch” module to detect new incidents or alerts.
Step 2: Build Your Response Workflow
Add a router module to split the workflow based on alert severity.
Set up different paths — critical alerts go directly to Slack and PagerDuty.
Low-priority issues get logged in Jira for 之后 审查。
这就是它的样子：
✓ 检查点： Your scenario should show branching paths with a router in the center.
Step 3: Add Error Handling and Activate
右键单击任意模块，然后选择“添加错误处理程序”。
Choose “Resume” or “Rollback” based on your business needs.
Error handling makes sure your IT workflows keep running even when one service is down.
✅ 结果： Your IT team now gets instant alerts routed to the right channels, reducing manual work and freeing the team to focus on fixing problems.
💡 专业提示： Add a “Break” error handler to critical modules. This pauses the entire scenario instead of silently failing, so you never miss a high-priority alert.
如何使用自动化潜在客户开发
自动化潜在客户开发 lets you capture leads from forms, ads, and websites — then route them directly to your 客户关系管理.
以下是使用步骤。
观看自动化潜在客户开发流程演示：
现在让我们逐一分析每个步骤。
Step 1: Connect Your Lead Source
Create a new scenario and add your lead capture app.
This could be a form 建筑商 like Typeform, a landing page tool, or Facebook Ads.
Select the “Watch new submissions” trigger to start the process.
Step 2: Map Data to Your CRM
Add your CRM module — HubSpot, Salesforce, or 管道驱动.
Map each form field to the matching 客户关系管理 场地。
Add a filter to skip incomplete submissions or test entries.
✓ 检查点： Run the scenario once and check that a test lead appears in your CRM.
Step 3: Add Notifications and Scoring
Add a Slack or email module to notify your sales team 即刻.
Use a router to send high-value leads to a priority channel.
This is the last step — toggle scheduling on and your lead pipeline runs 24/7.
✅ 结果： Every new lead is automatically added to your CRM and your team is notified in real time.
💡 专业提示： Use Make’s built-in data transformation modules to clean up phone numbers, names, and email formats before they hit your CRM. Dirty data causes more problems than missing data.
如何使用 Make Contract Automation
合同自动化 lets you send, track, and manage contracts without manual follow-ups.
以下是使用步骤。
观看合同自动化实际应用：
现在让我们逐一分析每个步骤。
步骤 1：连接您的文档工具
Add your e-signature app — DocuSign, PandaDoc, or HelloSign.
Select the trigger “Watch for new deal in CRM” to start the workflow.
This creates a direct line between your sales pipeline and contracts.
Step 2: Build the Contract Generation Flow
Add a Google Docs or template module to generate the contract.
Map deal details — client name, pricing, terms — into the template fields.
Add the e-signature module as the next step to send it for signing.
✓ 检查点： Run once and confirm the contract is generated with correct details.
Step 3: Set Up Follow-Up Reminders
Add a delay module set to 48 hours after sending.
Connect a “Check status” module to see if the contract was signed.
If unsigned, send an automatic reminder email to the signer.
✅ 结果： Contracts are generated, sent, and followed up on — all without your team lifting a finger.
💡 专业提示： Add a final module that updates your CRM when the contract is signed. This keeps your pipeline data accurate and saves you from manually checking statuses.
如何使用 Make Agentic Automation
智能体自动化 lets you build AI-powered workflows that make decisions and adapt based on data.
以下是使用步骤。
观看 Agentic Automation 的实际应用：
现在让我们逐一分析每个步骤。
Step 1: Start with an AI Module
Create a new scenario and add an AI module — OpenAI, Anthropic, or Google AI.
You can use Make’s built-in AI provider or connect your own API key.
This is the brain of your agentic workflow.
Step 2: Add Decision Logic with Routers
Add a router after the AI module to create branching paths.
Each path is executed based on the AI’s output — positive, negative, or neutral.
This lets your automation adapt its behavior like a human would.
✓ 检查点： Your scenario should show the AI module connected to a router with multiple branches.
Step 3: Connect Actions and Test
Add action modules to each branch — send Slack messages, update databases, or write emails.
Run a test to watch the AI process sample data and pick the right path.
Refine the AI prompt until the output matches your expected results.
✅ 结果： Your workflow now uses AI to read, analyze, and act on data — covering tasks that previously required a human in the loop.
💡 专业提示： Use JSON transformation to structure AI responses before passing them to the next module. Additionally, this ensures your modules always receive data in the correct format and prevents random execution failures.
如何使用 Visually Orchestrate Automation
可视化编排自动化 lets you design, manage, and debug complex workflows on a visual map.
以下是使用步骤。
Watch Visual Orchestration in action:
现在让我们逐一分析每个步骤。
Step 1: Open the Scenario Builder
Click “Create a new scenario” to open the visual canvas.
The canvas is where you drag, drop, and connect modules.
Each module corresponds to a specific action on a connected tool.
Step 2: Connect Modules and Add Logic
Drag a line from one module to another to create a data flow.
Add routers for conditional logic and filters for data refinement.
You can see the entire process from left to right on the canvas.
✓ 检查点： All modules should be connected with green lines showing the data path.
Step 3: Debug with Step-by-Step Execution
Click “Run once” to execute the scenario one time.
Each module shows the data it received and the data it passed along.
Click any bubble to inspect the input and output details for that step.
✅ 结果： You can now build, test, and troubleshoot any automation visually — no coding or guesswork required.
💡 专业提示： Use the “Note” feature to add labels directly on the canvas. This helps learners and team members understand what each section of a long scenario does without reading every module’s settings.
如何使用自动开票功能
发票自动化 lets you process invoices, extract data, and update your 会计 system automatically.
以下是使用步骤。
观看发票自动化演示：
现在让我们逐一分析每个步骤。
Step 1: Set Up the Invoice Trigger
Add an email or cloud storage trigger to watch for new invoices.
For example, “Watch new emails with attachments in Gmail.”
The file attachment becomes the input for the next module.
Step 2: Extract Invoice Data
Add a document parser or AI module to read the invoice file.
Map the extracted fields — vendor name, amount, due date, and line items.
Use a data transformation module to clean and format the output.
✓ 检查点： Run a test invoice and confirm all fields are extracted correctly.
Step 3: Send to Accounting Software
Add your accounting app — QuickBooks, Xero, or FreshBooks.
Map the extracted data to the correct 会计 fields.
Add an approval notification to Slack or email before final processing.
✅ 结果： Invoices are now processed automatically — from email to accounting — with zero manual data entry.
💡 专业提示： Create a “duplicate detection” filter that checks the invoice number against your database. This prevents the same invoice from being processed twice and causing accounting errors.
如何使用制作模板库
模板库 lets you start with pre-built workflows instead of building from scratch.
以下是使用步骤。
观看模板库的实际应用：
现在让我们逐一分析每个步骤。
Step 1: Browse the Templates Library
点击左侧边栏中的“模板”。
Use the search bar to find templates by app name or use case.
Filter by category — marketing, sales, HR, IT, and more.
步骤 2：预览并安装模板
Click any template to see a preview of the scenario structure.
Review the apps and modules it uses before installing.
Click “Use template” to add it directly to your scenarios.
✓ 检查点： The template scenario should appear in your scenario list.
步骤 3：自定义并激活
Open the template and connect your own app accounts.
Update any fields that need to match your business setup.
Test with “Run once” and then set your preferred schedule.
✅ 结果： You’ve launched a working automation in minutes using a pre-built template — easy and fast.
💡 专业提示： After installing a template, duplicate it before making changes. This way you always have the original to reference if you need to start over or share it with team members.
制作专业技巧和快捷方式
After testing Make for over a year, here are my best tips.
键盘快捷键
| 行动 | 捷径 |
|---|---|
| 运行一次场景 | Ctrl + Enter |
| Add a new module | Click the “+” icon on the canvas |
| 撤销上一步操作 | Ctrl + Z |
| Zoom to fit entire scenario | Ctrl + Shift + F |
| Copy a module | Right-click → Clone |
| Search for apps | Type app name in the module search bar |
大多数人错过的隐藏功能
- Scenario Blueprints: Export any scenario as a JSON blueprint and share it with your team or import it into another organization. This is great for agencies managing multiple client accounts.
- Custom Variables: On Pro plans and above, create variables that persist across scenario runs. Use them for counters, running totals, or session tokens that need to carry forward.
- Webhooks as Triggers: Instead of polling for changes (which uses credits), set up incoming webhooks so apps send data directly to Make. This is more efficient and lets your scenarios run instantly when data arrives.
- Data Store Module: Use Make’s built-in data store as a mini database. It’s perfect for caching lookup tables, deduplicating records, or storing state between scenario runs without needing an external database.
避免犯常见错误
Mistake #1: Using Polling Triggers When Webhooks Are Available
❌ 错误： Setting a scenario to check for new data every minute, burning through thousands of credits even when nothing changes.
✅ 右图： Use webhooks whenever the connected app supports them. This way Make only runs when new data actually arrives, saving credits and improving efficiency.
Mistake #2: Skipping Error Handling
❌ 错误： Building long scenarios without any error handlers and then wondering why automations silently fail overnight.
✅ 右图： Add error handling modules to every critical path. Use “Break” for must-not-fail processes and “Resume” for non-critical steps that can be retried later.
Mistake #3: Processing Items One by One Instead of in Batches
❌ 错误： Using an iterator to process 100 records individually, consuming 100 credits when you could use an aggregator instead.
✅ 右图： Group your data with an aggregator module first. Then process the batch in a single action — this keeps your credit usage low and scenarios running faster.
进行故障排除
问题：场景无故停止运行
原因： You’ve hit your monthly credit limit or your connected app’s token expired.
使固定： Check your credit usage in the Organization dashboard. Re-authorize the app connection if the token has expired. Make sends email warnings at 80% and 100% credit usage — enable those notifications.
Problem: Data Is Missing or Empty in Output
原因： The data mapping between modules is incorrect or the source field name changed.
使固定： Open the module settings and re-map the fields. Click “Run once” and inspect the data bubble on each module to see exactly what data was received and passed forward.
Problem: Webhook Not Triggering the Scenario
原因： The webhook URL was not saved correctly in the external app, or the scenario is turned off.
使固定： Copy the webhook URL again from Make and paste it into the external app’s settings. Confirm the scenario is toggled “On.” Send a test request and check the webhook history in Make for incoming data.
📌 笔记： If none of these fix your issue, contact Make support through their help center or community forum.
什么是 Make？
制作 是一款无需代码的应用。 自动化工具 that allows users to automate complex processes involving multiple tools and services.
Think of it like a visual command center where you connect your apps and tell them how to talk to each other — without writing a single line of code.
Make was formerly known as Integromat and is now recognized as one of the top automation platforms in the world.
Users can visually design automations by combining blocks called modules, where each module corresponds to an action on a connected tool.
Make provides a platform for integrating AI applications into workflows to improve results and reduce manual work.
The platform offers over 3,000 pre-built apps for instant workflows and allows for the integration of custom systems.
If you’re interested in learning AI automation, Make also offers a free YouTube course called 人工智能工具 101 that covers core AI concepts and step-by-step guides to prompting, JSON transformation, and error handling. The course consists of 10 lessons rolled out in two parts — perfect for learners who want to build a strong foundation.
观看这段快速概览：
它包含以下主要特点：
- 人工智能代理： Create autonomous AI agents and manage them with a real-time visual map
- 社交媒体自动化： Schedule and publish posts across all major platforms
- IT 工作流程自动化： Automate monitoring, incident response, and ticket routing
- 自动化潜在客户开发： Capture leads from forms and ads, then send them to your CRM
- 合同自动化： Generate, send, and track contracts without manual effort
- 智能体自动化： Build AI-driven workflows with decision-making capabilities
- 可视化编排自动化： Design and debug workflows on a drag-and-drop canvas
- 发票自动化： Process invoices from email to 会计软件 自动地
- 模板库： Access hundreds of pre-built scenario templates to get started fast
如需完整评测，请参阅我们的 撰写评论.
制定价格
以下是 Make 在 2026 年的成本：
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | 每月 0 美元 | Individuals testing automation with up to 1,000 credits |
| 核 | 每月9美元 | Solo users who need unlimited active scenarios and API access |
| 专业版 | 每月16美元 | Power users who need priority execution and error handling |
| 团队 | 每月 29 美元 | Small teams needing shared scenarios and role permissions |
| 企业 | 定制定价 | Large organizations with SSO, 审计 logs, and 24/7 support |
免费方案： Yes — includes 1,000 credits per month and access to all core features including AI agents.
退款保证： The Core plan includes a 30-day money-back guarantee.
💰 性价比最高： Core plan at $9 per month — it gives you unlimited active scenarios and 10,000 credits, which is enough for most 小型企业 automations.
自制与替代品
Make 与竞争对手相比如何？以下是竞争格局：
| 工具 | 最适合 | 价格 | 等级 |
|---|---|---|---|
| 制作 | 可视化无代码自动化 | 每月 0 至 29 美元 | ⭐ 4.6 |
| n8n | 自托管开源工作流 | 每月 20 美元 | ⭐ 4.5 |
| 帕布利 | 一次性付款自动化 | 249 美元（一次性） | ⭐ 4.1 |
| Zapier | Beginner-friendly automation | $0–$19.99/mo | ⭐ 4.5 |
| MindStudio | 人工智能应用 建筑 | $0–$48/mo | ⭐ 4.0 |
| 弗洛伊斯 | 人工智能驱动的创意工作流程 | 每月 13.93 美元 | ⭐ 3.8 |
| 口香糖环 | AI workflow chaining | 免费至每月 30 美元 | ⭐ 3.7 |
| 复制 | Code-based automation with AI | 每月 0 至 20 美元 | ⭐ 4.4 |
| Google Opal | Google Workspace environment automation | 请联系我们获取报价 | ⭐ 3.5 |
快速精选：
- 综合最佳： Make — unmatched visual builder with 3,000+ app integrations and AI agent support
- 最佳预算： Pabbly — one-time payment with no monthly fees for long-term savings
- 最适合初学者： Zapier — simpler interface that’s easy to learn and get started with fast
- 最适合开发者： n8n — self-hosted, open-source, and fully customizable for technical users
🎯 制定替代方案
正在寻找 Make 的替代方案？以下是一些最佳选择：
- 🔧 n8n： Open-source and self-hosted — ideal for developers who want full control over their automation infrastructure and data.
- 💰 帕布利： Pay once and automate forever. Pabbly removes monthly fees, making it the best pick for budget-conscious businesses.
- 👶 Zapier： The most recognized name in automation. Zapier’s simple trigger-action format is perfect for beginners who want to start quickly.
- 🧠 MindStudio： Focused on building AI-powered apps and 聊天机器人. Great for teams that want to create 人工智能工具 无需编程。
- 🎨 弗洛伊斯： Built for creative AI workflows. Flowith lets you chain AI models together for content generation and research tasks.
- ⚡ Gumloop： Lightweight AI workflow builder. Gumloop focuses on chaining AI steps together for fast execution of AI-heavy tasks.
- 🚀 复制： Code-first platform with AI assistance. Best for users who want to write custom automation scripts in multiple languages.
- 🏢 Google Opal： Designed for teams already embedded in the Google Workspace environment. Connects directly with Google Workspace services.
完整列表请参见我们的 制定替代方案 指导。
⚔️ 进行比较
以下是Make与各竞争对手的对比情况：
- Make vs n8n： Make is easier to learn with its visual builder, while n8n gives you more control if you self-host. Make wins for non-technical users.
- Make vs Pabbly： Pabbly costs less long-term with one-time pricing, but Make offers far more apps and advanced features like AI agents.
- Make 与 Zapier 的对比： Make gives you 10,000 credits for $9 compared to Zapier’s 750 tasks at $19.99. Make is the better value for high-volume automations.
- Make vs MindStudio： MindStudio is better for building standalone AI apps. Make wins when you need to connect AI with dozens of other business tools.
- Make vs Flowith： Flowith focuses on AI-driven creative workflows. Make covers a broader range of automation use cases beyond just AI.
- Make vs Gumloop： Gumloop is simpler for quick AI chains. Make offers deeper integrations and more mature error handling for production workflows.
- 创建 vs 复制： Replit requires coding skills. Make lets you build the same automations visually, making it accessible to non-developers.
- Make vs Google Opal： Google Opal works best inside the Google Workspace environment. Make connects 3,000+ apps across every major platform.
立即开始使用 Make Now
你已经学会了如何使用 Make 的所有主要功能：
- ✅ 人工智能代理
- ✅ 社交媒体自动化
- ✅ IT 工作流程自动化
- ✅ 自动化潜在客户开发
- ✅ 合同自动化
- ✅ 智能体自动化
- ✅ 可视化编排自动化
- ✅ 发票自动化
- ✅ 模板库
下一步： 选择一项功能，立即试用。
Most people start with AI Agents or the Templates Gallery.
只需不到5分钟。
常见问题解答
Make.com 是用来做什么的？
Make.com is used to automate repetitive tasks and connect different apps and services without coding. You can automate processes like processing invoices, managing customer service inquiries, routing leads, and posting to social media. Businesses use it to save time and reduce manual data entry across their entire workflow.
Make.com是什么？它是免费的吗？
Make.com is a no-code automation platform that enables users to visually design workflows connecting 3,000+ apps. Yes, it has a free plan that includes 1,000 credits per month, two active scenarios, and access to core features including AI agents. You can start building automations right away without paying anything.
Make.com 以前叫什么名字？
Make.com was formerly known as Integromat. The company rebranded to Make in 2022 to better reflect its expanded capabilities beyond simple integrations. The platform kept its core visual automation engine while adding AI agents, agentic automation, and a much larger app library.
Make.com 的所有者是谁？
Make.com is owned by Celonis, which acquired the company in 2020. The platform is headquartered in Prague, Czech Republic, with offices around the world. Celonis is a process mining company, and the acquisition added Make’s visual automation capabilities to their portfolio.
Make自动化是免费的吗？
Yes, Make offers a free plan with 1,000 credits per month. This is enough to test and run small automations. You can create up to two active scenarios on the free tier. For more credits and advanced features like error handling and priority execution, you’ll need to upgrade to a paid plan starting at $9 per month.
Make.com 是否实现了人工智能自动化？
Make.com supports AI automation through its AI Agents feature, AI Toolkit, and native integrations with OpenAI, Anthropic, and Google AI. You can build agentic workflows where AI makes decisions, processes data, and takes actions automatically. Make’s AI Tools 101 course on YouTube covers core AI concepts for beginners who want to learn these capabilities.
我可以用 Make 实现哪些自动化操作？
You can automate nearly any digital process — lead generation, social media posting, invoice processing, contract management, IT monitoring, customer support responses, data syncing between apps, and more. If it involves moving data between two or more tools, Make can typically handle it with its library of 3,000+ app integrations.
Make 比 Zapier 更好吗？
Make is better than Zapier for power users who need visual workflow building, conditional logic, and better pricing per credit. Make gives you 10,000 credits for $9 per month compared to Zapier’s 750 tasks at $19.99. However, Zapier is easier for complete beginners who want a simpler interface. Your choice depends on how complex your automations need to be.
Make.com 难用吗？
Make has a moderate learning curve. Expect 2–3 hours to feel comfortable building multi-step scenarios. The visual drag-and-drop builder is intuitive once you understand the concept of modules and data mapping. Beginners should start with the Templates Gallery and watch the tutorial videos. For more advanced topics like routers and iterators, set aside extra time to learn.
Make.com 的费用是多少？
Make.com starts at $0 per month on the Free plan with 1,000 credits. The Core plan is $9 per month, Pro is $16 per month, and Teams is $29 per month — all billed annually. Enterprise pricing is custom. Credit volumes scale with each plan, and you can purchase additional credits if you exceed your monthly limit.
Make.com 比 Zapier 便宜吗？
Yes, Make is significantly cheaper than Zapier for the same volume of automations. Make offers 10,000 credits for about $9 per month while Zapier offers 750 tasks at $19.99. At higher volumes the cost gap widens even further. If you run hundreds of automations per month, Make will save you money.
Make.com 有免费版本吗？
Yes. Make’s free version includes 1,000 credits per month, access to 3,000+ apps, AI agents, and the visual workflow builder. You can run two active scenarios with a 15-minute minimum interval between runs. It’s a generous free tier that lets you build and test real automations before upgrading.
Make.com 和 Zapier 有什么区别？
The biggest difference is the workflow builder. Make uses a visual canvas where you drag and connect modules, while Zapier uses a linear step-by-step format. Make supports branching logic with routers, iterators, and aggregators — Zapier’s paths are more limited. Make is also cheaper per credit. Zapier is easier to set up for simple two-step automations.
Make.com 如何收费？
Make charges based on a credit system. Each module action in your scenario — like adding a row, sending an email, or fetching data — uses one credit. AI operations may use more credits depending on token usage. You choose a plan with a set number of monthly credits, and you can purchase extra credits at a 25% premium if you go over your limit.
做产品评测真的能赚钱吗？
Yes, many content creators earn income through product reviews using affiliate programs. By writing honest reviews and sharing referral links, you can earn commissions when readers sign up. Platforms like Make offer partner programs where reviewers can earn recurring revenue. The key is providing genuine value — not just promoting products for the sake of commissions.
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