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Raizan
Raizan

Posted on • Originally published at chasebot.online

Temporal vs Make vs Zapier for API automation

#tutorial #automation #apiintegration #workflows

What You'll Need

  • n8n Cloud or self-hosted n8n
  • Hetzner VPS or Contabo VPS for hosting
  • Namecheap if domain needed
  • DigitalOcean as alternative
  • API documentation for your services (Stripe, Shopify, GitHub, etc.)
  • Basic Node.js knowledge (optional but helpful)
  • A code editor like VS Code

Table of Contents

The Core Differences

I've spent the last three years shipping automation workflows across multiple platforms, and I can tell you that the "best" solution depends entirely on what you're automating. Temporal, Make, and Zapier occupy very different lanes.

Temporal is a workflow engine for developers who want deterministic, scalable, long-running processes. Think microservices orchestration. Make (formerly Integromat) sits in the visual mid-market space—it's more flexible than Zapier but requires more setup than Temporal. Zapier is the household name: simple, fast to deploy, but hits a ceiling when you need complex branching logic or custom code.

The fundamental trade-off: code flexibility vs. setup speed. I'll walk you through each.

Temporal: The Enterprise Orchestrator

Temporal is a time-travel capable workflow orchestrator. That's not a marketing gimmick—it means you can pause, replay, and debug workflows as if you have a video recording of execution.

If you're building microservices that need resilience, retries with exponential backoff, or complex state machines, Temporal is your answer. It's what companies like Stripe and Snap use for critical infrastructure.

Setting Up Temporal Locally

First, spin up the Temporal server via Docker:

git clone https://github.com/temporalio/docker-compose.git
cd docker-compose
docker-compose up
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This runs the Temporal server on localhost:7233 and the UI on localhost:8080.

Now create a workflow definition:

import {
  proxyActivities,
  defineSignal,
  defineQuery,
  setHandler,
  workflowInfo,
} from "@temporalio/workflow";
import * as activities from "./activities";

const { callStripeAPI, logTransaction, notifySlack } = proxyActivities<
  typeof activities
>({
  startToCloseTimeout: "10 minutes",
});

export interface OrderData {
  orderId: string;
  amount: number;
  email: string;
  retryCount: number;
}

export const orderProcessWorkflow = async (order: OrderData) => {
  let retries = 0;
  const maxRetries = 3;

  while (retries < maxRetries) {
    try {
      const chargeResult = await callStripeAPI({
        amount: order.amount,
        email: order.email,
        orderId: order.orderId,
      });

      await logTransaction({
        orderId: order.orderId,
        status: "completed",
        transactionId: chargeResult.id,
        timestamp: new Date().toISOString(),
      });

      await notifySlack({
        channel: "#orders",
        message: `Order ${order.orderId} processed successfully`,
      });

      return { success: true, transactionId: chargeResult.id };
    } catch (error) {
      retries++;
      if (retries >= maxRetries) {
        await notifySlack({
          channel: "#alerts",
          message: `Order ${order.orderId} failed after ${maxRetries} retries`,
        });
        throw new Error(`Max retries exceeded for order ${order.orderId}`);
      }

      // Temporal automatically handles exponential backoff
      await new Promise((resolve) => setTimeout(resolve, 2000 * retries));
    }
  }
};
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Now define the activities (the actual work):

import Stripe from "stripe";
import axios from "axios";

const stripe = new Stripe(process.env.STRIPE_SECRET_KEY || "", {
  apiVersion: "2023-10-16",
});

export async function callStripeAPI(chargeData: {
  amount: number;
  email: string;
  orderId: string;
}) {
  const charge = await stripe.charges.create({
    amount: Math.round(chargeData.amount * 100),
    currency: "usd",
    source: "tok_visa",
    receipt_email: chargeData.email,
    metadata: { orderId: chargeData.orderId },
  });

  return {
    id: charge.id,
    status: charge.status,
    amount: charge.amount,
  };
}

export async function logTransaction(data: {
  orderId: string;
  status: string;
  transactionId: string;
  timestamp: string;
}) {
  const response = await axios.post("http://localhost:3000/api/transactions", {
    orderId: data.orderId,
    status: data.status,
    transactionId: data.transactionId,
    timestamp: data.timestamp,
  });

  return response.data;
}

export async function notifySlack(data: {
  channel: string;
  message: string;
}) {
  const response = await axios.post(process.env.SLACK_WEBHOOK_URL || "", {
    channel: data.channel,
    text: data.message,
  });

  return response.data;
}
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Start a worker to execute these workflows:

import { Worker } from "@temporalio/worker";
import * as activities from "./activities";
import * as workflows from "./workflows";

async function main() {
  const worker = await Worker.create({
    workflowsPath: require.resolve("./workflows"),
    activitiesPath: require.resolve("./activities"),
    taskQueue: "order-processing",
    workflowRunner: "es-modules",
  });

  console.log("Worker started on task queue: order-processing");
  await worker.run();
}

main().catch(console.error);
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Temporal shines here because if activity fails, it retries intelligently. If your worker crashes mid-execution, it resumes from where it left off. No lost state.

💡 Fast-Track Your Project: Don't want to configure this yourself? I build custom n8n pipelines and bots. Message me with code SYS3-DEVTO.

Make: The Visual Mid-Market Solution

Make sits between Zapier's simplicity and Temporal's code-heavy power. It's built for teams that need complex workflows but can't justify a full engineering team.

I prefer Make for APIs that need conditional logic, data transformation, and error handling—without writing TypeScript. The visual builder is honest about what code would look like.

Building an API Orchestration Workflow in Make

Here's a practical example: sync customer data from Shopify to a custom API, then log to Google Sheets on success or Slack on failure.

Step 1: Shopify Trigger
Set the trigger to "New Customer" with filter: accepts_marketing == true

Step 2: Call Your Custom API
In the HTTP module, configure:

URL: https://api.yourcompany.com/v1/sync-customer
Method: POST
Headers:
  Authorization: Bearer YOUR_API_TOKEN
  Content-Type: application/json

Body (raw):
{
  "shopify_id": "{{trigger.id}}",
  "email": "{{trigger.email}}",
  "first_name": "{{trigger.first_name}}",
  "last_name": "{{trigger.last_name}}",
  "phone": "{{trigger.phone}}",
  "created_at": "{{trigger.created_at}}"
}
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Step 3: Conditional Routing
After the HTTP call, use a Router:

  • If {{200 in http.status}}: continue to Google Sheets
  • Else: send to Slack alert

Step 4: Log to Google Sheets on Success

Spreadsheet: Customers
Worksheet: Active Syncs
Values:
  Column A (Timestamp): {{now}}
  Column B (Customer ID): {{trigger.id}}
  Column C (Email): {{trigger.email}}
  Column D (API Response): {{http.data.customer_id}}
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Step 5: Slack Alert on Failure

Message Text: ⚠️ Failed to sync Shopify customer {{trigger.id}}
Error: {{http.error}}
Email: {{trigger.email}}
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Make's JSON transformer becomes useful here. If Shopify sends nested data you need to flatten:

{
  "customer_id": "{{trigger.id}}",
  "profile": {
    "email": "{{trigger.email}}",
    "marketing_consent": {{trigger.accepts_marketing}}
  },
  "source": "shopify"
}
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The strength of Make is that you can test each module individually, see real data flowing, and iterate without redeploying anything. For teams shipping B2B integrations, this speeds up development by weeks.

Zapier: The No-Code Leader

Zapier remains the fastest to production if your workflow is linear: trigger → transform → action. It's what non-technical teams use, and for good reason.

Building a Simple Zapier Zap

Trigger: "New email in Gmail with label 'leads'"
Action 1: Parse email subject and body via Formatter
Action 2: Create contact in HubSpot
Action 3: Send Slack notification

This takes 10 minutes. No Docker, no code, no infrastructure.

But here's the limitation: if you need to call your custom API, retry on specific error codes, or implement complex branching, Zapier becomes clunky. You'll hit Code by Zapier (their JavaScript sandbox), which is underpowered compared to a proper runtime.

If you're comparing Zapier to other platforms, I'd recommend reading my guide on Budibase vs n8n vs Retool for API workflows because the landscape has shifted—n8n now offers the simplicity of Zapier with the flexibility of Temporal, sitting right in the middle for most teams.

Building Your First API Automation

Let me walk you through a complete example that works across all three platforms: a GitHub webhook that creates Jira tickets, logs to a database, and posts to Discord.

Using n8n (The Practical Middle Ground)

I'm using n8n Cloud here because it's hosted by default, but you can self-host on Hetzner VPS or DigitalOcean if you prefer.

Workflow JSON:

{
  "name": "GitHub to Jira to Discord",
  "nodes": [
    {
      "parameters": {
        "path": "github-webhook",
        "protocol": "https",
        "option": "sourceUrl"
      },
      "name": "GitHub Webhook",
      "type": "n8n-nodes-base.webhookTrigger",
      "typeVersion": 1,
      "position": [250, 300],
      "webhookId": "auto
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Originally published on Automation Insider.

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