How to Connect N8N and Make: Step-by-Step Guide (2026)

In the evolving landscape of business automation, connecting different tools to streamline operations is essential. For many organizations, the choice often comes down to powerful, flexible platforms like n8n and Make (formerly Integromat). While both are robust automation solutions, there are distinct advantages to integrating them. This guide provides a detailed, step-by-step approach to connecting n8n and Make, ensuring your workflows are efficient and robust as we look towards 2026.

N8n stands out as a powerful open-source workflow automation tool that can be self-hosted, offering unparalleled control over data and customizability. Make, on the other hand, provides a visually intuitive, cloud-based platform with an extensive library of pre-built integrations to popular SaaS applications. By combining the strengths of both, businesses can achieve a hybrid automation strategy that leverages n8n for intricate, data-sensitive operations or custom API interactions, while utilizing Make for its vast array of cloud service connections and user-friendly visual builder.

Why Connect N8N and Make?

The decision to integrate n8n and Make typically stems from a need for a more specialized and adaptable automation infrastructure. Here are the primary reasons why businesses choose this hybrid approach:

• Hybrid Data Processing: N8n can handle sensitive data processing on-premise or within a private cloud environment, then securely pass aggregated or sanitized data to Make for distribution to various SaaS applications. This is crucial for compliance and data governance.
• Extended Integration Reach: While Make offers a vast number of integrations, n8n can connect to virtually any API or local system. This allows n8n to act as a bridge for legacy systems or highly custom internal tools, feeding their output into Make for further processing with common cloud services.
• Cost Optimization: For workflows involving high volumes of internal data processing or custom logic that might be more expensive on a cloud-based platform, n8n can manage these parts efficiently. Make then handles the final-mile integration with external services, optimizing overall operational costs.
• Specialized Logic and Transformation: N8n’s JavaScript-based custom nodes and server-side execution make it ideal for complex data transformations, custom scripting, or intricate conditional logic that might be more challenging or resource-intensive to implement directly within Make.
• Scalability and Reliability: By distributing the workload, you can leverage n8n's self-hosted scalability for certain tasks and Make's managed infrastructure for others, creating a more resilient and scalable automation ecosystem.

What You Need Before You Start

Before you begin connecting n8n and Make, ensure you have the following prerequisites in place:

• An Active N8N Instance: This can be a self-hosted instance running on your server, a Docker container, or an n8n cloud account. Ensure it's accessible and operational.
• A Make.com Account: You will need an active Make.com account. If you don't have one, you can sign up for free.
• Basic API Understanding: Familiarity with HTTP requests (GET, POST), JSON data structures, and webhook concepts will be beneficial, though not strictly required for following this guide.
• Relevant API Keys/Credentials: Have any necessary API keys or authentication details ready for the third-party applications you intend to connect through either n8n or Make.

Step-by-Step Guide to Connecting N8N and Make

This guide will demonstrate how n8n can send data to Make using a webhook, a common and flexible integration pattern. We'll also briefly touch upon the reverse flow.

1. Set Up a Custom Webhook in Make

   Your first step is to create an entry point in Make that can receive data from n8n. This is done using a Custom Webhook module.

   1. Log in to your Make.com account and click Create a new scenario.
   2. In the scenario builder, click the large plus icon and search for "Webhooks". Select the Webhooks app.
   3. Choose the Custom Webhook module.
   4. Click Add a hook, give it a descriptive name (e.g., "N8N Data Receiver"), and click Save.
   5. Make will provide you with a unique URL. Copy this URL. This is the endpoint n8n will send data to. Keep this scenario open, as Make will listen for incoming data to determine its data structure.
2. Configure N8N to Send Data to Make

   Now, set up your n8n workflow to send data to the Make webhook URL you just copied.

   1. Log in to your n8n instance and create a New Workflow.
   2. Add a trigger node to your workflow. For demonstration, you might use a Manual Trigger or another relevant trigger (e.g., a "Webhook" to receive data from another system, or a "Cron" node for scheduled tasks).
   3. After your trigger or data processing nodes, add an HTTP Request node.
   4. Configure the HTTP Request node:
      • Authentication: Set to "None" if you're not using advanced authentication for the webhook.
      • Request Method: Select "POST".
      • URL: Paste the Make Custom Webhook URL you copied in Step 1.
      • Body Parameters: Set Body Content Type to "JSON" (or "Raw" with a JSON string). You can manually define the JSON data or use expressions to pass data from previous nodes. For example, enter {"message": "Hello from n8n", "timestamp": "{{ $now }}"}.
3. Test the Connection and Map Data in Make

   It's crucial to test that data flows correctly between n8n and Make.

   1. In your Make scenario, ensure the Webhook module is in "listening" mode (it will say "Waiting for webhook data...").
   2. Go back to your n8n workflow and execute it (e.g., click "Execute Workflow" if using a Manual Trigger).
   3. Observe the Make scenario. It should receive the data and present a "Successfully determined data structure" message. Click OK.
   4. The data fields sent from n8n (e.g., "message", "timestamp") will now be available for mapping in subsequent Make modules.
4. Configure Subsequent Actions in Make

   With the data flowing from n8n, you can now define what Make should do with it.

   1. Add another module to your Make scenario (e.g., "Google Sheets - Add a Row," "Slack - Create a Message," or "CRM - Create a Record").
   2. Connect this module to the Webhook module.
   3. Map the data fields received from n8n to the corresponding fields in your new module. For example, map "message" from the webhook to a "Text" field in a Slack message.
5. Configure Make to Send Data to N8N (Optional Reverse Flow)

   If you need Make to send data back to n8n, the process is similar but reversed:

   1. In n8n, create a new workflow and add a Webhook trigger node. Copy its URL.
   2. In your Make scenario, add an HTTP module (HTTP - Make a request).
   3. Configure the HTTP module to send data (POST method) to the n8n Webhook URL. You can construct a JSON body using data from your Make scenario.
   4. In n8n, add subsequent nodes to process the data received from Make.
6. Activate and Monitor Workflows

   Once you've tested both sides, activate your workflows.

   1. In Make, toggle the scenario to "ON".
   2. In n8n, activate your workflow.
   3. Regularly monitor execution logs in both platforms to ensure smooth operation and quickly identify any issues.

Popular Use Cases

Combining n8n and Make opens up a variety of sophisticated automation possibilities:

• Hybrid CRM Data Synchronization: N8n fetches customer data from an on-premise ERP system, processes and deduplicates it, then sends relevant updates to Make. Make then distributes this data to cloud-based CRM (e.g., Salesforce) and marketing automation platforms (e.g., Mailchimp).
• Custom API & SaaS Integration: A company uses n8n to interact with a proprietary legacy API to pull specific operational metrics. N8n then formats this data and sends it to Make, which pushes it into a Google Sheet for reporting and sends alerts via Slack if thresholds are exceeded.
• Advanced Notification System: N8n monitors a local database for new entries or changes. When specific conditions are met, n8n sends a payload to Make. Make then uses this information to trigger a multi-channel notification (email via Gmail, SMS via Twilio, and a ticket in a project management tool like Asana).

Estimated Time Savings

Implementing automations between n8n and Make can significantly reduce manual effort and improve operational efficiency. For tasks that involve complex data manipulation or interaction with multiple disparate systems, automating the workflow can save several hours per week for individual employees or departments. For instance, a manual process involving data extraction from a legacy system, transformation in a spreadsheet, and then manual entry into multiple cloud applications could take 3-5 hours weekly. Automating this via n8n and Make could reduce that to near-zero manual time, allowing staff to focus on analytical or strategic work. Over a month, this can translate to 12-20 hours saved, multiplying across teams and processes.

Beyond direct time savings, these integrations minimize human error in data transfer and ensure data consistency across platforms, leading to more reliable business intelligence and decision-making.

Frequently Asked Questions

What are the main differences between n8n and Make?

N8n is an open-source, self-hostable automation tool offering deep customization, JavaScript-based logic, and control over data residency. Make is a cloud-based, visual integration platform with a vast library of pre-built app integrations, known for its user-friendliness and drag-and-drop interface. N8n targets developers and technical users needing custom solutions, while Make is accessible to a broader audience including business analysts.

Is it more cost-effective to use both n8n and Make?

The cost-effectiveness depends on your specific use cases and scale. For scenarios requiring high volumes of custom data processing or interactions with specialized internal systems, n8n can be more cost-effective, especially if self-hosted, as it avoids transaction-based fees for those operations. Make then efficiently handles connections to commercial SaaS applications. Combining them can optimize costs by leveraging each platform for its strengths rather than forcing one platform to handle tasks it's less suited for, potentially incurring higher costs or complexity.

Can n8n and Make share credentials securely?

N8n and Make manage their own separate credentials for connecting to third-party services. They do not directly share or pass authentication tokens or sensitive API keys between each other. When integrating, n8n sends data to Make via a webhook, and vice-versa. Any data exchanged should be carefully considered for security implications, and credentials themselves should never be directly transmitted as part of the data payload. Each platform uses its own secure methods for storing and managing API keys for the services it connects to.

Written by Vangari Sai Sampath, Automation Specialist · Integration Directory · Hyderabad, India