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Steal 1,000 warm leads from someone else’s viral post automatically.

From scraped data to revenue moves in minutes, not days.

Today’s newsletter is sponsored by Apify.

Web data is messy, scattered, unstructured and time consuming to gather manually.

Apify is the shortcut: 9,000+ ready-made scrapers, zero code, data pulled in seconds.

Apify is my data layer. I use it across my workflows, Claude Code builds to scrape LinkedIn, Instagram, Google Map and any website at scale.

Helps pulling contacts, reviews, competitor intel. Outputs in CSV, JSON, Excel. Schedules recurring scrapes so fresh leads show up daily without me lifting a finger.

TVM readers get 25% off all Apify plans with code 25JAMES. Claim it here

Valid until January 1st, 2026. New users only.

Scrape anything and build faster with Apify.

The new marketing moat isn't creativity. It's speed.

Everyone can write copy. Everyone can run ads. The edge now is in how fast you get from data to action.

And between data and action, there's always been a manual middle. The boring part - exporting, copying, cleaning, formatting, enriching, cross-referencing.

That middle is dead.

The marketers winning right now have built ecosystems where data flows without friction. While competitors are still wrangling spreadsheets, they are already making moves.

This week's issue shows how marketers are connecting Apify to their stack: Claude, n8n, Google Sheets to remove the manual middle and turn raw data into leads, strategies, and revenue.

4 powerful ways to connect Apify to your stack and automate marketing

1. Turn Claude into a powerful marketing engine that scrapes, analyzes and builds strategies (no code)

Marketing research is broken. It's scattered, manual, and painfully complex because data lives everywhere.

It doesn't have to be.

Varu connected Claude Desktop to Apify. No code. No nodes.

Just 60 seconds to build a marketing system that scrapes, analyzes, and strategizes across multiple data sources.

All through conversation.

Here’s how it works:

  • Takes a natural language request ("Analyze my last 6 months of X posts")

  • Finds the right Apify scraper automatically

  • Pulls data in chunks to avoid hallucination on large datasets

  • Merges everything into one master file

  • Analyzes patterns: top topics, winning hooks, best formats, timing

  • Layers in additional sources (LinkedIn creators, algorithm research, competitor posts)

  • Outputs a complete strategy: content calendar, gap analysis, quick wins

Result?

  • Full X performance analysis: 350+ posts broken down by topic, hook patterns, formats, timing. What actually drove engagement, not what he assumed.

  • LinkedIn landscape mapped: Top creators posting about vibe marketing and Claude Code. What content formats they're using. What's getting engagement. When they're posting.

  • Cross-platform playbook: How to take what's already winning on X and adapt it for LinkedIn. Same momentum, new channel."

  • December content calendar: Ready to execute. Post ideas mapped to what the data showed works.

  • Quick wins: Actions to implement the same week. No 90-day roadmap. Immediate moves.

One conversation. No spreadsheets. No exports. No tool-hopping.

2. Harvest leads from viral Linkedin posts that you didn’t create 

You've seen these posts everywhere on LinkedIn.

"Comment 'GUIDE' and I'll send you my framework."

Hundreds of comments. Sometimes thousands. Each one a person who raised their hand, showed interest, and left their profile wide open.

That's not a comment section. That's a lead list waiting to be scraped.

Rokas Stan built an n8n automation that does exactly that. Paste a LinkedIn post URL, hit run, and walk away with names, companies, titles, and emails ready for outreach.

The insight:

You don't need to create viral content to profit from it. Let others do the hard work, build the audience, drive the engagement, collect the comments. You harvest the leads.

Here's what the automation does:

  • Takes any LinkedIn post URL with comments

  • Scrapes every commenter's profile data (name, company, title, location)

  • Enriches with a second Apify scraper to find emails

  • Outputs everything into a Google Sheet ready to plug into your outreach tool

The stack:

  • n8n for workflow automation

  • Apify LinkedIn Post Comments Scraper (pulls commenter data)

  • Apify LinkedIn Profile Enrichment (adds emails)

  • Google Sheets for output

Outcome? One LinkedIn URL in. Qualified lead list with emails out.

No manual research. No guessing who engaged. No hunting for contact info. Just a pipeline built from someone else's content.

3. The influencer vetting system that lives where you already work

What if your spreadsheet could pull live social data on command?

No new tool. No new dashboard.

Muhammad Sumarsono built a Social Market Intelligence tool directly inside Google Sheets using Apify's API that will vet influencers in one click.

Here's how it works:

  • Paste TikTok or Instagram video links into the sheet

  • Click a custom "Social Tracker" menu button

  • Apify fetches real-time metrics: views, engagement rates, creator tier

  • Data auto-fills into the sheet ready for analysis

The stack:

  • Google Sheets (with Apps Script)

  • Apify TikTok Scraper

  • Apify Instagram Scraper

  • Custom menu trigger

What it solves: Vetting creators for TikTok Spark Ads and Instagram boost campaigns take hours of manual work. Every video requires manual data entry, copying metrics, checking engagement, comparing creators. Now with one click of a button, apify does the rest.

The best automation is invisible. This one hides inside a spreadsheet.

4. Turn Google Maps into 24/7 lead machine for your agency

Most agency owners still build lead lists like it’s 2015.

Open Google Maps. Search a city. Copy business names. Click into websites. Hunt for emails. Repeat a hundred times.

Instead of manually prospecting, Zach Geleott wired up an n8n workflow that:

  • Reads a Campaign Config tab in Google Sheets (city, niche, search terms, active = TRUE/FALSE)

  • Every hour, checks which cities are still marked active

  • Sends those cities to an Apify Google Maps scraper to pull every relevant business

  • Writes all raw results into a “Raw leads” sheet

  • Filters, dedupes, and scores each business for SEO + paid ads potential

  • Pushes the cleaned list (with emails where available) into a “Filtered leads” sheet

In just a couple of days, the workflow has: Collected 1,300+ prospects; Found ~650 verified emails.

The stack:

  • n8n to orchestrate the whole thing

  • Google Sheets as the campaign brain + lead database

  • Apify Google Maps scraper to pull business data

  • Website scraper (like Firecrawl / similar) to hunt for missing emails

Zach now has an always-on lead engine: Hundreds of qualified contacts with emails, ready for outreach without living inside Google Maps.

Watch how Zach built the entire system.

Miscellaneous Vibes

Here are some other things we have on our radar.

Let’s vibe

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  • Hire or collaborate with the top 5% of vetted AI marketers

  • Be part of hot-seat strategy calls where I break down real business challenges

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The Vibe Marketer

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