Jobs Data Platform

How JobFront's AI Data Agents Work

We use AI to build, operate, and continuously improve a fleet of scrapers that track jobs from 100,000's of companies
Schedule a demo →
The Problem

The Challenges With Legacy Jobs Data Providers

Traditional scraping infrastructure is expensive to build, brittle to maintain, and slow to recover when things break.

1
Expensive. Every time a careers page changes, a human has to rebuild or patch a scraper.
2
Slow. Broken scrapers often sit for days or weeks before being fixed.
3
Error-prone. Missing, inconsistent, or partially filled in datapoints.
4
Rigid. Each job board outputs different fields and formats.
5
Limited. Only AI can structure benefits, requirements, and other semantic signals.
The Agents

AI Agents That Run Your Jobs Data Stack

A fleet of specialized agents handles every step of the pipeline — from scraping and structuring to quality assurance and enrichment — continuously and autonomously.

Job Scraper Live
Generates and repairs scrapers for any careers or jobs page.
When a page changes, it self-heals — usually before anyone notices a drop in coverage.
Job Enricher Live
Turns messy job text into standardized fields.
Extracts and standardizes: compensation, job function, seniority, location, skills, ONET codes, and more.
Source Enricher Live
Understands the companies and job boards behind the jobs.
Tags sources with logos, industry, company size, HQ location, and other metadata.
Data Cleaner Live
Continuously audits and repairs your jobs data.
Monitors broken fields, coverage gaps, odd spikes or drops, and drift in structure.
How the agents work together
Sources
Corporate careers sites
Job boards & niche marketplaces
Custom & JS-heavy sites
→
AI Agents
Job Scraper Agent
Job Enricher Agent
QA & Self-healing Agent
→
Outputs
API & webhooks (JSON)
XML & CSV exports
Analytics & internal tools
Cost Curve

The AI Cost Curve That Works In Your Favor

Then
$40 per scraper
Traditional, human-engineered scrapers with high setup & maintenance costs.
Now, 2025
$0.40 per scraper
AI agents now handle almost all of the generation and repair work.
Soon, 2026
≈ $0.04 per scraper
Our roadmap pushes costs toward zero — and we pass as much of that as possible directly to customers.
What this means for you
Overall ~50% lower prices (today) than human-heavy scraping vendors.
Faster iteration. Experiment with new sources, fields, and regions.
Compounding quality. Your data becomes more accurate and more complete.
Reliability

Built-In Self-Healing

Legacy vendors wait for something to break before they act. Our agents monitor, detect, and repair problems automatically — keeping your pipeline running even as the web changes around it.

Self-healing scrapers. Our agents detect layout and DOM changes and regenerate broken scrapers without human intervention.
Auditing agents. Separate QA agents scan live data for anomalies, missing fields, and structural drift — catching issues before they reach your systems.
Continuous monitoring. We track drops and spikes in job counts, coverage ratios, and field completeness across every source in real time.
Humans on the edge cases. When an agent can't safely auto-fix, a human reviewer steps in — so hard problems still get resolved.
The result: fewer silent failures, faster recovery when the web changes, and jobs data that stays trustworthy as you scale.