How to Automate LinkedIn Content Creation and Scheduling with Make.com
Most businesses know they should post consistently on LinkedIn — but between writing content, maintaining a schedule, and actually publishing, it's a time-consuming hassle. This Make.com workflow solves all three problems automatically: finding relevant content, rewriting it in your brand voice, and publishing on a perfect schedule.
The LinkedIn Content Problem
Maintaining an active LinkedIn presence is crucial for B2B businesses, agencies, and professionals — but creating original content daily is time-consuming. Most companies either post inconsistently or resort to generic content that doesn't reflect their brand voice.
The solution? A system that automatically finds high-quality content in your niche, rewrites it in your unique style, and publishes it on a perfect schedule — without you lifting a finger after setup.
68% of marketers say creating consistent content is their biggest LinkedIn challenge, while 92% believe repurposing existing content is more effective than always creating from scratch.
How the Workflow Works
This Make.com automation has two main components working together seamlessly. The first part handles content discovery and preparation, while the second manages publishing.
At 2:15 in the video, you can see how these two parts connect through Google Sheets, creating a complete system that runs on autopilot once configured.
System overview: Content scraping → Duplicate check → AI filtering → Brand voice rewriting → Automatic scheduling → Timed publishing
Part One: Content Discovery
The content discovery module does the heavy lifting of finding and preparing posts for publication:
Step 1: Content Scraping
An Appify webhook triggers whenever new content is scraped from LinkedIn, pulling in fresh posts from your target sources.
Step 2: Duplicate Check
The system compares new posts against your existing database, dropping any duplicates to maintain content originality.
Step 3: Content Classification
An OpenAI filter analyzes each post, categorizing it as either personal (to discard) or evergreen (to keep and repurpose).
Step 4: Brand Voice Rewriting
Kept posts are rewritten in your specified tone and style using another OpenAI node, then stored in your generated posts database.
Step 5: Automatic Scheduling
Each new post is scheduled to publish exactly one hour after the last scheduled post, creating perfect posting cadence.
In summary: Scrape → Filter → Rewrite → Schedule. This process runs automatically whenever new content is available.
Part Two: Content Publishing
The publishing module is simpler but equally important — it handles the actual posting to LinkedIn:
Step 1: Schedule Check
At each interval (default hourly), the system checks your scheduled posts database for content due to publish.
Step 2: Content Retrieval
If a post is scheduled for the current time window, the workflow retrieves the complete post content and media.
Step 3: LinkedIn Publishing
Using Make.com's LinkedIn connector, the post is published automatically with all formatting intact.
Key advantage: The publishing module can run independently on a schedule, while the content discovery module runs whenever new content is available.
Testing the Workflow
At 4:30 in the video, you can see the testing process where we limit the scraper to just two posts for demonstration purposes.
The workflow completes successfully, populating both the scraped posts and generated posts tabs in Google Sheets. For testing purposes, we manually adjust the schedule time to demonstrate the publishing functionality.
Implementation tip: During initial setup, test with a private LinkedIn page or adjust scheduling to publish immediately until you're confident in the workflow's output quality.
Key Benefits
This automation solves three critical LinkedIn marketing challenges simultaneously:
1. Consistent Content Supply
Never face the blank page again — the system continuously sources new content ideas from your industry.
2. Brand Voice Maintenance
AI rewriting ensures every post sounds like it came from your team, not just reposted generic content.
3. Perfect Posting Cadence
The automatic scheduling creates an ideal posting frequency without manual calendar management.
Time savings: This workflow can save 5–7 hours per week compared to manual LinkedIn content creation and scheduling.
Customization Options
While the core workflow is powerful as-is, several customization options are available:
Content Sources
Configure which LinkedIn profiles, groups, or hashtags to scrape for content relevant to your audience.
Posting Frequency
Adjust the 1-hour interval between posts to match your ideal publishing cadence (e.g., 2/day, 5/week).
Brand Voice Parameters
Define specific tone, length, formatting rules, and other stylistic preferences for the AI rewriting.
Approval Workflow
Add a manual approval step if you want to review posts before they're scheduled for publication.
Implementation note: These customizations require no code changes — just configuration adjustments in Make.com.
Watch the Full Tutorial
See the complete workflow in action, including the testing process where we manually trigger both the content discovery and publishing modules.
Frequently Asked Questions
Common questions about LinkedIn content automation
The workflow uses Appify to scrape LinkedIn for posts in your industry or niche. It then filters these posts to identify evergreen content that can be repurposed, excluding personal posts that wouldn't be relevant when shared by your brand.
You can configure exactly which profiles, groups, or hashtags to monitor for content relevant to your audience.
- Scrapes content from specified LinkedIn sources
- Filters out personal/irrelevant posts
- Focuses on evergreen content with long-term value
Yes, the OpenAI node allows you to specify exactly how you want the content rewritten. You can define your brand voice, preferred length, formatting rules, and any other stylistic preferences that should be applied to all generated posts.
Common customization options include formal vs. casual tone, inclusion of emojis or hashtags, and preferred paragraph structure.
- Define your exact brand voice parameters
- Set formatting preferences
- Control post length and structure
The workflow automatically schedules each new post to publish 1 hour after the last scheduled post. This creates a consistent posting cadence without overloading your audience.
You can adjust this timing interval to match your preferred posting frequency — for example, changing it to 4 hours between posts if you want fewer daily updates.
- Default: 1 hour between posts
- Fully adjustable interval
- Maintains perfect posting cadence automatically
The publishing module checks for scheduled content at each interval. If no post is scheduled for that time, it simply skips that publishing cycle.
This prevents empty or placeholder posts from being published accidentally while maintaining flexibility in your content pipeline.
- System checks for scheduled content
- Skips empty time slots
- No placeholder posts published
Before storing any scraped content, the workflow checks against your existing database of posts to ensure no duplicates are added. Each post is assigned a unique identifier to prevent accidental reposting of the same content.
The duplicate check happens both when content is first scraped and again before rewriting, providing two layers of protection against repetition.
- Two-stage duplicate checking
- Unique identifiers for each post
- Comprehensive content database
Yes, all generated posts are stored in a Google Sheets database where you can review them before they're scheduled. You can also implement an approval step in the workflow if you want to manually approve each post before publishing.
The review process is completely optional — the system can run fully autonomously once you're confident in its output quality.
- Posts stored in Google Sheets for review
- Optional manual approval step
- Flexible autonomy levels
Make.com regularly updates its LinkedIn connector modules to maintain compatibility. If significant API changes occur, GrowwStacks can quickly update your workflow to ensure uninterrupted posting functionality.
We monitor all platform API changes and proactively update client workflows as needed, typically within 24-48 hours of any breaking changes.
- Make.com maintains connector updates
- GrowwStacks handles any necessary workflow changes
- Rapid response to API updates
GrowwStacks specializes in building custom LinkedIn automation systems using Make.com. We'll configure this workflow specifically for your industry, brand voice, and posting frequency.
Our team handles all technical implementation, including LinkedIn API connections, OpenAI prompt engineering, and scheduling logic. We offer a free consultation to discuss your specific content automation needs.
- Custom workflow configuration
- Technical implementation handled
- Free initial consultation
Ready to automate your LinkedIn content pipeline?
Stop wasting hours each week manually creating and scheduling posts. Let GrowwStacks build you a custom LinkedIn automation system that publishes high-quality content in your brand voice — automatically.