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Make.com GoHighLevel Integration: How to Connect GHL to Every Tool in Your Stack

GoHighLevel handles a lot natively, but connecting it to external tools requires Make.com. Here are the patterns that cover most GHL integration needs, with concrete workflow structures.

Muhammad Bilal
Muhammad Bilal Virk
11 min read
Make.com GoHighLevel Integration: How to Connect GHL to Every Tool in Your Stack

GoHighLevel covers a lot of ground natively: CRM, pipeline, SMS, email, calendar, landing pages, and automation workflows. But the moment you need GHL to talk to a tool outside its built-in integrations — a custom database, a niche SaaS tool, an accounting platform, a data warehouse — you need an automation layer on top. Make.com is the most practical choice for most GHL users because of its visual interface, its wide integration library, and its ability to handle the conditional logic that GHL webhooks alone cannot express.

This post covers the complete Make.com GoHighLevel integration: connecting the platforms, the key patterns, and the specific configurations that make the most common GHL automation use cases work. It builds directly on the workflow foundations covered in GoHighLevel Automation for Agencies.


Two Ways to Trigger Make from GoHighLevel

GHL talks to Make.com through two mechanisms: native webhooks fired from GHL Workflows, and the GoHighLevel API called via the Make.com HTTP module. Both are useful and which one you reach for depends on the use case.

GHL Workflow Webhook. Inside a GHL Workflow, you can add a Webhook action that fires a POST request to any URL when the workflow reaches that step. Point this URL at a Make.com Custom Webhook module and Make receives the data from the workflow. This approach lets you trigger Make from any GHL event that can trigger a Workflow: contact created, pipeline stage changed, form submitted, appointment booked, SMS reply received, and dozens more. Make.com Webhook Tutorial covers the receiving side of this exchange in full detail.

Make.com Native GHL Module. Make has a native GoHighLevel connector with modules for reading and writing contacts, opportunities, notes, tags, tasks, and more. Use these for Make-initiated actions: searching for a GHL contact, creating a new contact, updating a pipeline stage, adding a tag. The native modules handle authentication automatically once you connect your GHL account.

In most scenarios, you use both: GHL fires a webhook to trigger the Make scenario, and the Make scenario uses native GHL modules or the HTTP module to take actions back in GHL.


Setting Up the Connection

To use the native GHL modules in Make, create a GoHighLevel connection. In any GHL module, click Add next to the connection field. Make redirects you to GoHighLevel's OAuth flow. Log in with your GHL account and authorise Make's access. The connection is created and reusable across all scenarios.

For webhook-triggered scenarios, no connection is needed on the trigger side. Add a Custom Webhook module as the trigger, copy the webhook URL Make generates, and paste it into the GHL Workflow Webhook action. Send a test submission through GHL to populate the webhook data structure in Make, then build your downstream modules.


Pattern 1: New GHL Contact to External CRM or Tool

A new contact is created in GoHighLevel — via a form, a voice agent call, or a manual import. Make.com fires and creates or updates a corresponding record in an external system: QuickBooks for a billing contact, a project management tool for a new client, a custom database for custom reporting.

Workflow structure:

  1. GHL Workflow: trigger on Contact Created, action is Webhook to Make
  2. Make Custom Webhook receives the contact data
  3. Make HTTP module or native connector creates the record in the target system
  4. Optional: Make GHL module updates the contact with a tag confirming sync

This pattern keeps GHL as the primary contact record and syncs outward to whatever other tools need the data, without requiring staff to manually enter the same information twice.


Pattern 2: External Event to GHL Contact Update

The reverse direction: something happens in an external system and Make updates GHL in response. A payment is received in Stripe. A support ticket is resolved in Zendesk. A project is marked complete in ClickUp. Make receives the event, finds the corresponding GHL contact, and updates the record: changes the pipeline stage, applies a tag, adds a note, updates a custom field.

Workflow structure:

  1. External system fires a webhook to Make (or Make polls the external API on a schedule)
  2. Make extracts the contact identifier (email, phone, or external ID)
  3. GHL Search Contacts module finds the matching contact
  4. GHL Update Contact or Update Opportunity module applies the changes

For the contact search step, the GHL API allows searching by email, phone number, or custom field values. Email is the most reliable common identifier across systems.


Pattern 3: GHL Pipeline Stage Triggers Multi-System Actions

When a deal moves to a specific pipeline stage in GHL, Make.com triggers a cascade of actions across multiple systems simultaneously — something GHL Workflows cannot do natively for external tools. GoHighLevel Pipelines Tutorial covers how to structure the pipeline stages this pattern relies on.

Example: deal moves to Won in GHL.

  1. GHL Workflow detects stage change, fires webhook to Make
  2. Make receives the deal data including contact information and deal value
  3. Make creates a QuickBooks customer and sends an invoice
  4. Make creates a ClickUp project from a template with the client name
  5. Make sends a Slack message to the delivery team channel with client details
  6. Make creates a Google Drive folder from a template and shares it with the client email
  7. Make updates the GHL contact with a Won tag and moves it to the client onboarding pipeline

Seven actions in parallel, triggered by one pipeline stage change in GHL. None of these are available in GHL's native Workflow actions for external tools. Make handles all of them in a single scenario run — this exact pattern is what powers the onboarding sequence described in How to Automate Client Onboarding.


Pattern 4: GHL SMS Reply to AI Response

A contact replies to an automated SMS in GHL. Instead of the reply sitting unread, Make.com processes it: sends the reply text to an LLM for interpretation, generates an appropriate response, and sends the response back through GHL.

Workflow structure:

  1. GHL Workflow: trigger on Inbound SMS, webhook to Make
  2. Make receives the SMS body and contact details
  3. Make HTTP module calls the OpenAI API with the SMS text and the conversation context
  4. OpenAI returns a generated reply
  5. Make GHL Send SMS module sends the generated reply to the contact

This creates a basic conversational SMS AI within GHL. The sophistication of the AI response depends on the system prompt and the context provided to the LLM — see How to Write a System Prompt for AI Agents for how to design that well. For simple qualification or FAQ responses, GPT-4o mini handles this well at low cost, though model names and rates change often enough that the OpenAI API pricing page is worth checking before you budget for it.


Pattern 5: Automated GHL Reporting to Google Sheets

A scheduled Make scenario queries the GHL API for contacts, opportunities, or campaign data and writes a summary to a Google Sheet. The operations team opens the sheet each morning without logging into GHL. Make.com Google Sheets Integration covers the Sheets side of this pattern in detail.

Workflow structure:

  1. Make Schedule module triggers daily at 7am
  2. Make HTTP module calls GHL API for opportunities modified in last 24 hours
  3. Make Iterator processes each opportunity
  4. Make Google Sheets Append Row writes each opportunity to the report sheet
  5. Optional: Make sends a Slack summary with the totals

The GHL API requires authentication via a Location API key (found in GHL Settings > API) or an OAuth token for agency-level access. Pass this as a Bearer token in the Authorization header of every HTTP Request module that calls GHL.


Getting the GHL API Key

For Location-level API access (accessing data for a single GHL sub-account): go to Settings > Business Profile > API Keys in the sub-account. Generate a key and store it securely. That screen has moved before, so check the HighLevel support portal if what you see does not match.

For Agency-level access across multiple sub-accounts: use OAuth with the GHL developer platform. This requires registering an app in the GHL marketplace, which is more involved but necessary for any integration that needs to operate across multiple sub-accounts.

For most single-location integrations, the Location API key is sufficient and simpler to configure.


Handling GHL Webhook Payload Structure

GHL webhook payloads vary by the event type. A contact created webhook includes different fields than an opportunity stage changed webhook. Before building downstream modules, send a test event from GHL to your Make webhook and examine the full payload structure.

The JSON Formatter makes the nested payload structure visually clear, which speeds up identifying the exact field paths to use in your Make modules.

Common fields to extract from GHL webhook payloads:

  • contact.id — the GHL contact ID for subsequent API calls
  • contact.email — primary email
  • contact.phone — primary phone
  • contact.firstName and contact.lastName
  • opportunity.id and opportunity.status — for pipeline events
  • tags — applied tags as an array

Building More Sophisticated GHL + Make Stacks

The patterns above cover the most common use cases. More sophisticated builds include bidirectional syncs between GHL and external CRMs, multi-step lead scoring that aggregates signals from multiple sources before updating GHL, and custom dashboard generation that combines GHL data with data from other platforms.

For any of these, the foundation is the same: webhooks out of GHL triggering Make scenarios, and Make using the GHL API to write data back. The complexity lives in the logic between those two endpoints. This exact webhook-plus-API architecture is what I use to connect GHL to Retell AI, Airtable, and custom backends on most of my client automation builds.

If you want help designing a specific Make.com GoHighLevel integration or building a multi-system automation stack with GHL at the centre, book a free 30-minute call. Bring your current GHL setup and the external tools you need to connect, and we will map the integration architecture together.


Frequently Asked Questions

My scenario keeps triggering itself. How do I stop the loop?

This happens when the Make scenario writes back to the same GHL contact that fired the webhook, and the write is itself a workflow trigger. The contact updates, the workflow fires, Make runs, Make updates the contact, and round it goes until something hits a limit. Break it with a marker: have Make apply a tag such as synced as part of its write, and add a filter at the top of the GHL workflow that excludes contacts carrying it. Narrowing the GHL trigger to specific fields rather than any contact update helps too, but the tag guard is the one that reliably holds.

Why is one GHL integration eating all my Make operations?

Because the filtering is happening in the wrong place. Make bills by operation, so if the GHL workflow fires on every contact update and the Make scenario decides whether to act, you are paying for every event you then discard. Move the condition upstream into the GHL workflow so the webhook only fires for events you actually care about. The second common cause is an iterator running over a full contact list on a schedule when a query for records modified in the last day would return a fraction of the rows.

What happens if step four of a seven-step scenario fails?

The first three have already happened and the last three have not, which means an invoice exists with no project folder and no Slack notification. Make will not undo the completed steps. Design for it: add an error handler on the modules that touch external systems, and write the outcome back to GHL as a tag or note at each significant step so you can see from the contact record how far the run reached. Also make the steps repeatable where you can, so re-running does not create a second invoice. Search-then-create is safer than create.

Should I use the Location API key or OAuth?

A Location key is faster to set up and fine when you are integrating one sub-account and you own it. OAuth is worth the extra effort as soon as you need to act across several sub-accounts, or when the integration belongs to a client whose account you may not have forever. Either way, store the credential in Make's connection or a variable rather than pasting it into an HTTP module header, because a key sitting in a module body gets copied every time someone clones the scenario. Rotate on a schedule and whenever someone leaves the team.

The GHL contact search returned nothing but the contact clearly exists. Why?

Almost always formatting. Phone numbers need to match the stored format, and a number saved in international form will not match one arriving from another system without the country code. Email matching is more forgiving but a leading space from a copied field still breaks it. Trim and normalise before searching: strip whitespace, lowercase the email, convert the phone to full international form. Where a match genuinely fails, create the contact rather than silently dropping the record, and tag it for review so the duplicate gets seen rather than buried.


If you would rather have this built than build it, I take on GoHighLevel and Make.com integration work through Fiverr.

Muhammad Bilal
Muhammad Bilal Virk
AI automation engineer — building agents, workflows, and RPA that remove repetitive work.
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