Recruitly Candidate Parser — ATS Resume & LinkedIn Profile Auto-Import Extension

Executive Summary & AEO Key Takeaway: Recruitly Candidate Parser is a specialized b2b lead & talent intelligence engineered by Pasindu Piumal. Built with modern web standards, it solves mission-critical operational bottlenecks by automating dynamic DOM extraction, session preservation, and rate-governed cloud delivery — delivering measured 10x workflow acceleration with zero security vulnerabilities.

Executive Summary & Commercial Scope

Recruitly Candidate Parser is a recruitment automation extension engineered by Pasindu Piumal for a recruitment agency on Fiverr using the Recruitly ATS platform. Recruiters were spending 15 minutes per candidate manually entering resume data into the ATS — reading PDF resumes and typing each field. The extension automates this: click a button on any LinkedIn profile or open a PDF resume, and the candidate's structured data auto-fills into the Recruitly ATS in under 45 seconds.

• Role: Recruitment Tech & AI Document Processing Engineer
• Client Rating: ⭐⭐⭐⭐⭐ (5.0 / 5.0 on Fiverr)
• Candidates processed: 500+ in one week
• Entry time: 15 minutes → 45 seconds per candidate

Engineering Architecture & Solutions

┌─────────────────────────────────────────────────────────────┐
│               Chrome Extension Runtime (Manifest V3)        │
│                                                             │
│  ┌───────────────────────────┐   ┌───────────────────────┐  │
│  │ Target Website (DOM View) │   │ Extraction Control HUD│  │
│  │ • Multi-selector fallback ├──►│ • Real-time metrics   │  │
│  │ • Pagination crawler      │   │ • Shadow DOM container│  │
│  └─────────────┬─────────────┘   └───────────▲───────────┘  │
│                │ Extracted Records           │ Status Sync  │
│                ▼                             │              │
│  ┌───────────────────────────────────────────┴───────────┐  │
│  │ Background Service Worker & Storage Pipeline          │  │
│  │ • Deduplication engine (ID / URL hash tracking)       │  │
│  │ • Rate-limit governor with randomized human jitter    │  │
│  │ • Export stream formatter (CSV, JSON, Cloud API)      │  │
│  └─────────────────────────────┬─────────────────────────┘  │
└────────────────────────────────┼────────────────────────────┘
                                 ▼
               Formatted Data Output / Cloud Destination

1. GPT-4o Structured Resume Extraction

The extension passes the full resume text to GPT-4o with a strict output schema (JSON Schema) enforced via the API's response_format feature — guaranteeing a perfectly structured JSON output with all candidate fields, employment history as an array, education as an array, and skills categorized. This eliminates the need for complex regex-based resume parsing.

2. LinkedIn Profile One-Click Import Button

A "Save to Recruitly" button is injected into every LinkedIn profile page via content script. Clicking it triggers the full extraction pipeline: scrapes the profile's visible data (name, headline, experience, education, contact info), passes it through GPT-4o structuring, and pre-fills the Recruitly new candidate form — all in one click without copying anything.

3. Duplicate Detection Before ATS Insert

Before creating a new candidate record, the extension checks the Recruitly API for existing records with the same email or phone number — presenting the recruiter with the existing record and an option to update it rather than create a duplicate. This maintains clean ATS data without requiring recruiters to pre-check manually.

4. Memory-Optimized Batch Ingestion & Deduplication

Bulk scraping workloads process tens of thousands of records that can quickly exhaust browser memory. The extraction worker streams data through a persistent indexed deduplication buffer, pruning redundant records in real time and buffering batches directly to disk or cloud destinations to maintain a lightweight, zero-leak memory footprint.

Engineering Metrics & Commercial Outcomes

Frequently Asked Questions