𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐋𝐞𝐚𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐑𝐌 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 I built an automated lead generation system designed to simplify the entire sales pipeline from lead capture to follow-up. The system collects leads from multiple sources, processes and qualifies them, adds them directly into the CRM, updates pipeline stages automatically, and triggers personalized follow-up sequences based on lead activity. Instead of managing leads manually across different tools, the entire workflow runs through one connected automation system. 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦 𝐡𝐚𝐧𝐝𝐥𝐞𝐬:

-Lead capture from multiple sources -Lead enrichment and qualification -Automatic CRM entry -Pipeline stage updates -Automated follow-up sequences -Reply and meeting tracking -Opportunity management The goal is simple: reduce manual work, improve response speed, and make sure valuable leads don’t get missed. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐢𝐦𝐢𝐥𝐚𝐫 𝐥𝐞𝐚𝐝 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐑𝐌 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭.

Seeing the pipeline stage updates happen automatically must free up a lot of time for real sales conversations.

Automated B2B Lead Gen Engine from LinkedIn Jobs (n8n + Apify + Apollo + Gemini)

Project Overview

Hiring intent is the highest-converting B2B buying signal. When a company posts an open role on LinkedIn, they have an active pain point, immediate budget, and executive mandate to solve that problem.

This automated production engine runs every morning without manual intervention. It scrapes fresh LinkedIn job postings via Apify, filters out non-target companies, queries Apollo.io to identify the exact decision-maker (Founder, CEO, VP, or Head of Department) with their verified work email, and uses Google Gemini to write hyper-personalized outbound pitch drafts directly into Google Sheets.

Visual Showcase & Live Architecture

1. Verified Leads Database & AI Outbound Drafts (Google Sheets)

Preview unavailable Automated output storing company data, verified decision-maker email, LinkedIn profile URL, hiring intent triggers, and ready-to-send AI cold email copy.

2. End-to-End n8n Engine Blueprint

Preview unavailable Full production pipeline orchestrating Apify actor execution, domain validation, Apollo personnel search, Gemini structured output parsing, and real-time sheet sync.

Technical Workflow Architecture

Targeted Job Extraction (Apify): Triggers an automated actor scraping LinkedIn job postings based on target titles, geographic focus, and date posted.

Data Sanitization & Strict Gatekeeping: Filters dataset entries by company size (< 250 headcount), eliminates recruitment agencies and HR service providers, and verifies live web domain resolution.

Personnel Enrichment & Email Validation (Apollo.io): Targets executive personas matching the hiring team, executes verification checks against corporate MX records, and retrieves direct work emails and LinkedIn URLs.

Context-Aware Email Drafting (Google Gemini): Analyzes job descriptions, extracts company pain points, and drafts personalized 3-sentence email openers with high deliverability scores.

Centralized Data Lake (Google Sheets / CRM Sync): Logs verified contact records, generated copy, and campaign statuses, ready for direct one-click import into Smartlead, Instantly, or Clay.

Key Performance Metrics

Runtime Execution: 2 minutes per batch run (50–100 validated leads).

Email Deliverability: 98%+ valid deliverability via Apollo API verification.

Workflow Efficiency: Replaces 10–15 hours per week of manual SDR prospecting.

Data Quality: 100% deduplicated against previous pipeline runs.

Deliverables Included

Complete standalone n8n workflow JSON blueprint ready for self-hosted or n8n cloud instances.

Pre-configured Apify scraper actor setup and Apollo.io API integration.

Custom Google Sheets outbound tracking dashboard with schema validation.

Gemini prompt engineering optimized for high cold-outreach open and reply rates.

1-on-1 Loom video walkthrough and handover documentatio

This is beautiful