Publora + Make Integromat: Automate Cross-Platform Social Campaigns

Why Pair Make with Publora for Social Media Automation?

Running social media automation platforms manually — logging into each app, writing posts, adjusting formats per platform, hitting publish — eats hours every week. When you're managing campaigns across Instagram, LinkedIn, X, Telegram, and more, the overhead compounds fast. You need a system that automates the repetitive parts while keeping you in control of creative decisions.

Make (formerly Integromat) is one of the most popular visual automation platforms, with over 1,500 native integrations and a drag-and-drop scenario builder that makes complex workflows accessible to non-developers. When you connect it to Publora's REST API, you get a complete automated social posting pipeline: trigger-based workflows that create, schedule, and publish content across 11+ social platforms without manual intervention.

What you'll learn in this guide:

• How to set up Publora's HTTP module in Make
• 3 scenario examples: multi-platform campaigns, content approval workflows, analytics-triggered reposting
• Make scenario structure and best practices
• Comparison with n8n approach — when to use which
• When to use Make vs the direct Publora API

What Is Make? A Visual Automation Powerhouse

Make is a cloud-based automation platform that lets you build workflows — called scenarios — by connecting modules on a visual canvas. Each module represents an action: fetch data from Google Sheets, transform it with a text parser, send it via HTTP to an API. Modules connect with lines that show how data flows between them.

Unlike simpler tools that only support linear "if this then that" chains, Make supports routers (branching logic), iterators (loop through arrays), aggregators (combine multiple items), and error handlers — all visually. This makes it powerful enough for complex social media campaigns.

Key Make Concepts for Social Automation

Concept	What It Does	Social Media Use Case
Scenario	A complete workflow (like a recipe)	RSS → Format → Post to 3 platforms
Module	A single action (API call, transform, etc.)	HTTP Request to Publora API
Router	Branches the flow into multiple paths	Different content per platform
Iterator	Loops through array items one by one	Process batch of posts from spreadsheet
Aggregator	Combines multiple items into one	Collect results from all platform posts
Filter	Passes/blocks data based on conditions	Only post items with status = "approved"
Error Handler	Catches and handles failures	Retry failed API calls, notify on Slack

Setting Up Publora HTTP Module in Make

Make doesn't have a native Publora integration (yet), but its HTTP module works perfectly with any REST API. Here's the setup process.

Step 1: Create a Publora Connection

In Make, you can store API credentials as reusable connections. Create one for Publora:

1. In any scenario, add an HTTP → Make a request module
2. Click "Add" next to the connection dropdown
3. Set the connection name to Publora API
4. Under Headers, add:
   • Key: x-publora-key  |  Value: sk_your_api_key_here
   • Key: Content-Type  |  Value: application/json
5. Click Save

Step 2: Configure the HTTP Module

Set up the core "Create Post" module that you'll reuse across scenarios:

{
  "url": "https://api.publora.com/api/v1/create-post",
  "method": "POST",
  "headers": [
    { "name": "x-publora-key", "value": "sk_YOUR_API_KEY" },
    { "name": "Content-Type", "value": "application/json" }
  ],
  "body": {
    "content": "{{1.postText}}",
    "platforms": ["{{1.platformId1}}", "{{1.platformId2}}"],
    "scheduledTime": "{{1.scheduledTime}}"
  }
}

The {{1.postText}} syntax references output from module 1 (the trigger). Make's visual mapper lets you click-to-insert these references instead of typing them manually.

Step 3: Test with a Draft Post

Run the scenario once with "status": "draft" in the body to verify the connection works without actually publishing anything. Check the Publora dashboard to see your draft.

Scenario 1: Multi-Platform Campaign Launcher

This scenario takes a single piece of content and adapts it for multiple platforms — adjusting length, hashtags, and tone — then publishes everywhere simultaneously. It's the core use case for social media automation platforms.

Scenario Flow

Platform-Specific Content Adaptation

The Router module splits the flow into branches. Each branch has a text transformation module that adapts content for its platform:

The HTTP Module Configuration (per branch)

// LinkedIn branch — Make's text formula in the JSON body:
{
  "content": "{{3.linkedinText}}",
  "platforms": ["linkedin-YOUR_LINKEDIN_ID"],
  "scheduledTime": "{{1.scheduledDateTime}}"
}

// X branch:
{
  "content": "{{4.twitterText}}",
  "platforms": ["x-YOUR_X_ID"],
  "scheduledTime": "{{1.scheduledDateTime}}"
}

// Telegram branch:
{
  "content": "{{5.telegramText}}",
  "platforms": ["telegram-YOUR_TELEGRAM_ID"],
  "scheduledTime": "{{1.scheduledDateTime}}"
}

Scenario 2: Content Approval Workflow

This scenario adds a human-in-the-loop step before publishing. Content is drafted automatically (from RSS, AI, or a spreadsheet), then a team member reviews and approves it before it goes live. This is essential for brands that need editorial control over automated social posting.

How the Approval Flow Works

1. Trigger: New blog post detected via RSS, or new row in content calendar
2. Draft creation: Make calls Publora's API with "status": "draft" — the post is created but not published
3. Notification: Make sends a Slack message (or email) with post preview and approve/reject buttons
4. Wait for approval: A second scenario listens for the Slack button webhook
5. Publish or discard: If approved, Make calls Publora's update-post endpoint to change status to "scheduled". If rejected, it deletes the draft.

// Step 1: Create draft via Publora API
// HTTP Module — POST https://api.publora.com/api/v1/create-post
{
  "content": "{{1.formattedPost}}",
  "platforms": ["linkedin-ID", "x-ID"],
  "status": "draft"  // Key: creates as draft, not published
}

// Step 2: Send Slack notification
// Slack Module — Post message to #content-review channel
{
  "text": "New social post ready for review:\n\n{{1.formattedPost}}\n\nPlatforms: LinkedIn, X\nDraft ID: {{2.postGroupId}}",
  "attachments": [{
    "actions": [
      { "type": "button", "text": "Approve", "value": "approve_{{2.postGroupId}}" },
      { "type": "button", "text": "Reject", "value": "reject_{{2.postGroupId}}" }
    ]
  }]
}

// Step 3 (separate scenario): Webhook listener for Slack button clicks
// On "approve": PATCH https://api.publora.com/api/v1/posts/{{postGroupId}}
{
  "status": "scheduled",
  "scheduledTime": "{{now.addHours(1)}}"  // Publish 1 hour from approval
}

Scenario 3: Analytics-Triggered Reposting

This advanced scenario monitors your content performance via Google Analytics (or any analytics source) and automatically reposts high-performing content to platforms where it hasn't been shared yet. It's a data-driven approach to maximizing content reach.

The Logic

Scenario Structure

// Module 1: Schedule Trigger — runs daily at 10 AM
// Module 2: Google Analytics — Get top pages (last 48h, min 500 views)
// Module 3: Filter — only pages not already reposted (check data store)
// Module 4: OpenAI — Rephrase content for target platform
// Module 5: Publora HTTP — Create post with rephrased content
// Module 6: Data Store — Record the repost to prevent duplicates

// Module 4 config (OpenAI):
{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "system",
      "content": "Rephrase this blog summary for a LinkedIn audience. Professional tone, 800 chars max, include a question to drive engagement."
    },
    {
      "role": "user",
      "content": "Blog title: {{3.title}}\nSummary: {{3.excerpt}}\nURL: {{3.url}}"
    }
  ]
}

// Module 5 config (Publora HTTP):
{
  "content": "{{4.choices[0].message.content}}\n\nFull article: {{3.url}}",
  "platforms": ["linkedin-YOUR_ID"],
  "scheduledTime": "{{formatDate(now; 'YYYY-MM-DD')}}T14:00:00Z"
}

The Data Store module is critical — it prevents the same article from being reposted multiple times. Make's built-in data stores act like a simple key-value database that persists between scenario runs.

Make Scenario Best Practices

Make vs n8n for Publora Automation

Both Make and n8n are excellent automation platforms that work well with Publora's API. The right choice depends on your team and priorities.

Feature	Make	n8n
Pricing model	Per-operation ($9/mo for 10K ops)	Free self-hosted / $20/mo cloud
Hosting	Cloud only	Self-hosted or cloud
UI polish	Very polished, non-dev friendly	Good, slightly more technical
Native integrations	1,500+	400+
Custom code	JavaScript only (limited)	JavaScript + Python (full)
Error handling	Visual error handlers	Error workflows
Publora integration	HTTP module	HTTP Request node
Best for	Marketing teams, agencies	Developers, cost-conscious teams

When to Use Make vs Direct Publora API

Make adds a layer between your trigger and Publora. Sometimes that layer is valuable; sometimes it's overhead. Here's a clear decision framework.

Operation Cost Optimization

Make charges per operation, so optimizing your scenarios to use fewer operations directly saves money. Here are practical tips for social media automation.

Frequently Asked Questions

Further Reading

• Publora API Reference — Complete endpoint documentation
• Authentication Guide — API key creation and management
• Create Post Endpoint — Detailed request/response documentation
• Rate Limits — Platform and API rate limit details
• n8n + Publora Guide — Alternative no-code automation with self-hosting
• Make HTTP Module Documentation — Official Make docs for HTTP requests