Data-Driven Follow-Growth: How the Boring Marketer’s X-Tweet Turns Scraping Into a Follower Engine

Author’s note:

Question: What tips does this promote for building a following?

Context: Context:

here's my linkedin content system. yes it's AI powered, but I work on each to make sure it hits the mark.

I scrape top posts, extract patterns and formats, then feed that into my direct response copy skill

early results are reallyyyy good. one post yesterday, +100 new followers… pic.twitter.com/dtuZ9HrNj9

— The Boring Marketer (@boringmarketer) January 14, 2026

What is apify? how do you scan top posts?

Executive Summary

1. Introduction – Why Scraping Top Posts Is the New Growth Engine

In the current landscape of 2026, the “creative” aspect of marketing is increasingly being supported—and sometimes superseded—by speed and data infrastructure. The “Boring Marketer” posits that the new marketing moat isn’t just creativity, but the velocity at which you can move from raw data to execution ¹.

Manual social media monitoring—scrolling, screenshotting, and manually logging “good” posts—is a dead end. It is slow, prone to human error, and unscalable ³. The modern approach involves “scanning” top posts: programmatically extracting high-engagement content to reverse-engineer what works, or to directly harvest leads from the engagement others have already generated. By automating the “boring middle” of data collection, marketers can focus entirely on strategy and revenue moves ¹.

2. Decoding the Boring Marketer’s Strategy

The core philosophy promoted by the Boring Marketer revolves around removing friction between data and action. The strategy isn’t just about posting; it’s about building “growth systems” that run on autopilot.

2.1 The “Steal the Audience” Playbook

One of the most aggressive tips promoted is the concept of “stealing” warm leads from viral posts you didn’t even write.

• The Insight: You don’t need to create viral content to profit from it. When a competitor posts “Comment ‘GUIDE’ for my framework,” they are aggregating a qualified lead list for you ¹.
• The Method: Instead of manually checking these posts, you use automation to scrape every commenter’s profile data (name, company, title) and enrich it with emails ¹.

2.2 The “Vibe Marketing” & Speed Approach

The Boring Marketer emphasizes that while competitors are using AI to generate images, smart marketers are creating “full-blown funnels” and systems ⁵. The goal is to turn AI into an expert that thinks rather than just follows steps ⁶. This involves connecting LLMs (like Claude) directly to data sources (like Apify) to perform research and strategy work in seconds rather than days ¹.

3. What Is Apify?

Apify is a cloud platform that enables developers and non-technical users to automate web-based tasks. It serves as a “data layer” for modern marketing stacks, offering over 9,000 ready-made tools called “Actors” ¹.

3.1 Core Capabilities

• Web Scraping: Extract structured data (JSON, CSV, Excel) from websites that don’t offer official APIs ⁷.
• Automation: Schedule recurring tasks (e.g., “scrape this profile every morning”) so fresh data appears without manual intervention ¹.
• Integration: Connects seamlessly with tools like n8n, Google Sheets, and AI models (Claude, OpenAI) to build complex workflows ¹.

3.2 Pricing & Cost Comparison

Apify operates on a consumption-based model, which can be significantly more affordable than traditional SaaS monitoring tools that charge high monthly retainers.

Table 1: Cost & Feature Comparison

4. Scanning Top Posts – Tools, Methods, & Limitations

Scanning “top posts” refers to the programmatic identification and extraction of high-engagement content. This allows you to see exactly what is resonating in your niche right now.

4.1 Apify Actors for Social Scanning

The Apify Store hosts specialized “Actors” for every major platform. These tools can extract posts, comments, and profile data.

Table 2: Recommended Apify Actors

4.2 Technical Implementation: The “All-in-One” Scraper

For video-first platforms, the “All-in-One Social Media Post Scraper” is a powerful tool. It supports Instagram Reels and TikTok, with YouTube Shorts in development ².

Key Features:

• Bulk Extraction: Gather videos by username arrays (e.g., ["charlidamelio", "khaby.lame"]).
• Granular Filtering: Filter by lastNDays or lastNPosts to get only recent trends.
• Detailed Output: Returns playCount, likeCount, commentCount, caption, and engagementScore ².

4.3 Limitations & Risks

• Platform Defenses: Social platforms actively fight scraping. While Apify handles proxies and browser fingerprints, aggressive scraping can still lead to IP blocks or account restrictions.
• Data Latency: Unlike official “Firehose” APIs (which are prohibitively expensive), scrapers may have a slight delay as they physically navigate pages.
• Shadow-banning: Posting automated comments too quickly or frequently can trigger platform spam filters ¹⁰.

5. Building the End-to-End Follow-Growth Pipeline

The Boring Marketer outlines several specific “stacks” that combine these tools into automated engines.

5.1 Workflow: The “Viral Post Lead Stealer”

This workflow turns a competitor’s viral LinkedIn post into a cold outreach list ¹.

1. Input: Paste a LinkedIn post URL into the system.
2. Scrape: Use Apify LinkedIn Post Comments Scraper to pull every commenter’s name and headline.
3. Enrich: Pass the data to a second scraper or enrichment tool to find emails.
4. Output: Data is pushed automatically to a Google Sheet or CRM.
5. Result: A list of qualified leads who have already shown interest in the topic.

5.2 Workflow: The “Social Market Intelligence” Sheet

This system allows for instant vetting of influencers without leaving Google Sheets ¹.

• The Stack: Google Sheets (Apps Script) + Apify API.
• How it works:
• User pastes TikTok/Instagram links into the sheet.
• A custom menu button triggers the Apify API.
• Real-time metrics (views, engagement rates) are fetched and auto-filled into the sheet.
• Benefit: Reduces hours of manual vetting for ad campaigns to a single click.

5.3 Code Snippet: Fetching Top Posts via Apify API

Below is a conceptual Python example of how you might programmatically trigger a scraper to “scan” for top posts using the Apify Client.

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Prepare the Actor input (e.g., for the All-in-One Scraper)
run_input = {
 "instagramUsernames": ["boringmarketer", "hormozi"],
 "tiktokUsernames": ["garyvee"],
 "lastNPosts": 10, # Scan only the top 10 most recent posts
 "outputLimitPerUser": 5
}

# Run the Actor and wait for it to finish
run = client.actor("social-media-scraper/social-media-post-scraper").call(run_input=run_input)

# Fetch and print the results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
 print(f"Platform: {item.get('platform')}")
 print(f"Post URL: {item.get('url')}")
 print(f"Views: {item.get('playCount')}")
 print(f"Engagement Score: {item.get('score')}")
 print("-" * 30)

Note: This utilizes the input schema defined for the social-media-post-scraper actor ².

6. Bottom Line

The “Boring Marketer” strategy for building a following isn’t about being the most creative person in the room—it’s about being the most efficient. By treating social media content as a dataset rather than just “posts,” you can reverse-engineer success and harvest existing demand.

Key Takeaways:

1. Automate the Middle: Use tools like Apify to handle the “boring” work of data collection, cleaning, and formatting ¹.
2. Scan, Don’t Scroll: Programmatically scan top posts to identify viral hooks and trends without wasting time on the feed ².
3. Harvest Intent: Treat comment sections on viral posts as open lead lists. Scrape them, enrich them, and reach out ¹.
4. Build Systems: Connect your data sources (Apify) to your processors (LLMs/Sheets) to create “always-on” growth engines that run while you sleep ¹.

Ready to start?

• Step 1: Create an Apify account to access the scraper store.
• Step 2: Identify 5-10 top accounts in your niche.
• Step 3: Run a “Social Media Post Scraper” to analyze their top-performing content.
• Step 4: Replicate the hooks and formats that the data proves are working.

References