Career Site Jobs

Aggregates job listings from 175,000+ company career sites across 54 different ATS platforms (Workday, Greenhouse, Ashby, Lever, Rippling, SuccessFactors, iCIMS, ADP, and others) through a unified MCP interface. The system crawls and normalizes job data from heterogeneous ATS sources into a standardized schema, enabling single-query access to jobs regardless of underlying platform. Implements platform-specific parsing logic to extract job details from each ATS's unique HTML/API structure and reconciles data formats into consistent output fields.

Applies AI-driven enrichment to raw job listings scraped from diverse ATS platforms, standardizing unstructured job descriptions into consistent, queryable fields and augmenting data with derived insights. The enrichment pipeline processes job titles, descriptions, and requirements through NLP models to extract structured metadata (required skills, experience level, job category, salary ranges where not explicitly provided) and reconciles formatting inconsistencies across different ATS platforms. Integrates LinkedIn company data enrichment to add organizational context (company size, industry, growth stage) to each job listing.

Exposes job listing retrieval and querying as MCP tools callable directly by LLM agents and AI assistants, enabling natural language job search and analysis without custom API integration code. Implements MCP tool schema definitions for job queries, filtering, and pagination, allowing Claude, other LLMs, and autonomous agents to invoke job retrieval as part of multi-step reasoning workflows. The MCP transport layer (stdio, SSE, or HTTP) handles serialization and context passing between LLM agents and the job data backend, enabling agents to compose job queries with other tools in a unified execution environment.

Implements metered billing model where job retrieval costs $4.00 per 1,000 jobs retrieved, with underlying costs mapped to Apify compute units ($0.13-$0.20 per unit depending on plan). Billing is integrated with Apify platform account, enabling transparent cost tracking and budget management through Apify's usage dashboard. The pricing model incentivizes efficient queries and result filtering, as each job retrieved incurs cost regardless of whether all fields are consumed by the client.

Companion capability provided through the 'Career Site Job Listing Feed' product (4.8★ rating), offering streaming or feed-based access to job updates as an alternative to on-demand query API. The feed model continuously monitors indexed career sites and publishes new job listings, job updates, and job removals as events, enabling subscribers to stay synchronized with job market changes without polling. This architecture suits real-time job board applications and continuous aggregation pipelines that need immediate notification of job changes rather than batch retrieval.

Ecosystem of specialized MCP servers and APIs for individual ATS platforms (Workday Jobs API 5.0★, Greenhouse Jobs API 3.0★, Ashby Jobs API, Lever.co Jobs API, ADP Jobs API) enabling developers to integrate with specific platforms at higher fidelity than the aggregated multi-ATS API. Each platform-specific variant provides native access to platform-specific fields, features, and capabilities without normalization or abstraction, allowing deeper integration with particular ATS systems. Developers can choose between the unified aggregation API for broad coverage or platform-specific APIs for deeper integration with particular systems.

Companion 'Expired Jobs API' capability that tracks job listings that have been removed or expired from company career sites, enabling job boards and aggregators to maintain accurate, current job listings by detecting and removing stale postings. The system monitors previously-indexed jobs and detects when they are no longer available on career sites, providing removal events or expired job data that allows clients to clean up their job databases. This capability is essential for maintaining data quality in aggregated job boards where jobs may be removed without explicit notification.