How 40 resumes become 5 shortlisted, automatically:

1. Resumes screened against the actual role criteria

2. Ranked by fit, not just keyword count

3. Top matches surfaced for a human to review, same day

→ Want your hiring pipeline running like this? Let's talk.

Good structure. The part I would add is a review queue for low-confidence parsing and duplicate records. Ranking is only useful if the recruiter can see why someone matched and correct the data before it becomes the source of truth.

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