Make.com Shopify Webhook Timeout Error: Fix It in 5 Minutes

Your Make.com scenario keeps crashing on the Shopify webhook with a timeout error — and orders are silently disappearing. Here's the exact technical fix, step by step, plus a structural alternative if the workarounds keep coming back.

You set up a Make.com Shopify webhookto automate order processing, and now you're seeing a "Webhook response timeout" error. Orders are being missed. No alerts, no retries in the interface — just silent failures.

The root cause is architectural: Make.com imposes a 40-second execution limit per scenario. Shopify, on its end, expects an HTTP 200 response within 5 seconds — otherwise it logs a failure and retries up to 19 times before giving up. When your scenario runs slow API calls (OpenAI, Klaviyo, Airtable…) inside that same execution window, the Make.com webhook timeout is guaranteed to happen at scale.

This guide gives you the exact fix — no vague suggestions, no "check your connection". Apply these 5 steps in order.

Why the Shopify webhook timeout happens in Make.com

This isn't a bug you can patch. It's a structural constraint of Make's synchronous architecture:

• Make runs scenarios synchronously. Every module in your scenario — the webhook trigger, every API call, every filter — runs within a single execution window capped at 40 seconds.
• Shopify wants a 5-second acknowledgment.If your webhook endpoint doesn't reply in time, Shopify treats it as a failure and retries. You end up with duplicate processing or missed events.
• Cascading API calls are the trigger. If your scenario calls OpenAI, then updates Airtable, then sends a Klaviyo email — each call adds latency. Three slow calls easily push you past 40 seconds.
• The Make.com simulator won't reproduce this. Simulated runs skip real-time latency, which is why everything works in testing but fails in production.

The complete fix: 5 steps to eliminate the timeout

The core solution is to separate receiving the webhook from processingit. Here's how.

1 Split your scenario into two (Reception + Processing)

This is the fundamental fix. One scenario cannot both acknowledge quickly and run long operations.

• Scenario A — Reception: receives the Shopify webhook, writes raw data to a Data Store or Google Sheet, returns HTTP 200 immediately. Zero API calls. Done.
• Scenario B — Processing: triggered every 1–5 minutes by a scheduler. Reads stored data, runs all business logic (OpenAI, Klaviyo, inventory update, etc.), marks records as processed.

Golden rule: Scenario A stores only. It never processes. Any API call belongs in Scenario B.

2Enable "Respond Immediately" in Make

In the Custom Webhook module (not the native Shopify module — that one uses polling), enable the "Respond immediately" option. This instructs Make to send HTTP 200 to Shopify before executing the rest of the scenario. Shopify is satisfied. Your scenario continues in the background.

Important: this option is only available with a custom Make.com webhook. If you're using the built-in Shopify trigger module, you'll need to switch to a custom webhook endpoint to get this control.

3Verify Shopify's webhook settings

Go to Shopify Admin → Settings → Notifications → Webhooks and check:

• Format is set to JSON (not XML).
• The endpoint URL points to your Scenario A (reception only), not a scenario that does full processing.
• Click Send test and verify the status shows SUCCEEDEDin Shopify's delivery logs.

4 Add a Data Store as a queue buffer

For high-volume stores or long processing times, add a Data Store module as a proper queue:

• Scenario A writes each inbound event to the Data Store with status pending.
• Scenario B (scheduled every minute) reads pending entries, processes them, updates status to done.
• To prevent duplicate processing, store the webhook_id from Shopify and check it hasn't already been processed before running Scenario B.

See the Make.com custom webhooks documentation for the full Data Store configuration reference.

5 Common mistakes to avoid

• Don't chain too many API calls in one scenario. Each external call to OpenAI, Airtable, or Klaviyo adds real latency to your 40-second window. Move them all to Scenario B.
• Don't set long timeouts on HTTP modules. The default HTTP module timeout in Make is 30 seconds. One slow external call will tank the entire scenario.
• Don't ignore 504 errors from Shopify.A 504 means Shopify's API is itself overloaded. Implement exponential backoff retry logic in Scenario B — not in the reception scenario.
• Don't test timing in Make's simulator.The simulator doesn't reproduce real-time latency. Always test with actual Shopify events.

Why this problem keeps coming back

Make.com is a genuinely powerful automation tool. But its synchronous architecture has structural limits once your webhooks handle real production volume. This isn't a criticism — it's an engineering tradeoff built into the platform.

The two-scenario workaround works, but it comes with ongoing maintenance overhead: two scenarios to keep in sync, a Data Store to manage, and Make updates that occasionally reset your configuration. For stores processing 500+ orders per month, this overhead compounds quickly.

NanoCorp: the async-first alternative

NanoCorp is designed so this problem structurally cannot exist:

• Async by default: webhooks are received and acknowledged instantly (HTTP 200). Processing happens in a separate background worker with no execution time cap.
• No 40-second limit. Your workflows can chain as many API calls as needed — OpenAI, Klaviyo, Airtable — without risking a timeout.
• Visual workflow builder for complex Shopify automations, without juggling two scenarios and a manual queue.
• Import existing workflows (blueprints): bring your current Make logic directly into NanoCorp.
• Free account — no credit card required.

Also check our comparison of the best free Zapier alternatives in 2025 to see how NanoCorp stacks up against Make.com and n8n across the board.