Live Job Postings, Salary Data & Talent Market Intelligence
HR tech platforms, staffing agencies, management consultants, and workforce analytics companies rely on DataDiveEdge to power their talent intelligence. We aggregate live job postings, salary benchmarks, company reviews, and skill demand signals from 50+ global job boards — updated daily.
We have pre-built, battle-tested scrapers for all major jobs & recruitment platforms — ready to deploy within 24 hours.
Every field is validated, structured, and delivered in your preferred format — CSV, JSON, Excel, or via API.
Job title, company, location, job type, experience required, salary range, skills, description.
Role-based salary ranges, median pay, compensation by city, industry, experience level.
Company size, industry, funding stage, culture rating, CEO approval, interview difficulty.
Most in-demand skills by role, technology stack requirements, certification preferences, trending keywords.
Glassdoor-style review text, ratings by category (culture, pay, management, work-life balance).
Hiring velocity by industry, remote job percentage, layoff tracking, headcount growth signals.
Power your job portal or HR platform with live postings from 50+ sources through a single data feed.
Help companies and employees make informed compensation decisions with real market salary data.
Analyze talent supply and demand trends to inform hiring strategy, compensation planning, and location decisions.
Identify passive candidates and build talent pipelines using publicly available professional profile data.
A leading HR analytics company needed a comprehensive, daily feed of job postings from 50+ global boards — with salary data, skill requirements, and company details — to power their workforce analytics platform.
We built a unified talent market data pipeline aggregating 142,000+ daily job postings from LinkedIn, Naukri, Indeed, and 47 other boards — structured, deduplicated, and enriched with salary and skills data.
Read Full Case StudyStart with a free pilot project. Our team will deliver a sample dataset within 48 hours — no commitment, no credit card required.