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• Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Loganramos (talk) 23:30, 3 June 2026 (UTC)

JobDataPool is an open job listings data infrastructure project associated with the Job Pool ecosystem. It provides a public REST API, an OpenAPI contract, JSON Schemas, and versioned datasets for structured job listings.^[1] The project's documentation describes JobDataPool as the canonical data layer for an ecosystem that separates consumer job search, transparency tooling, canonical data infrastructure, and ingestion operations across separate domains.^[2]

JobDataPool is designed to expose job listings as structured data rather than only as consumer search pages. The public documentation describes the project as hosting API endpoints, machine-readable contracts, dataset releases, and architecture RFCs for downstream products, transparency surfaces, and contributor tooling.^[1] The project uses the term "Open Job Data Pool" for a shared, continuously refreshed, multi-source data layer for job listings.^[3]

The Job Pool documentation defines four related surfaces with different responsibilities. In this topology, mewannajob.com is the consumer job-search product, jobpool.live is the transparency and power-user layer, jobdatapool.com is the canonical data infrastructure layer, and datapool.work is the ingestion and contributor operations layer.^[2]

JobDataPool's role in that architecture is to publish stable data contracts and access paths. The RFC describes the domain as responsible for the public API, bulk dataset distribution, schema definitions, versioned data access, and developer documentation.^[2]

The JobDataPool v1 API is documented through an OpenAPI 3.1 specification. The API includes endpoints for jobs, source metadata, health checks, and launch metrics.^[4] The public site describes the v1 API as no-auth and rate-limited, with documented limits on requests and rows returned per call.^[1]

The project also publishes JSON Schemas for its data contracts. Its job listing schema includes fields such as listing ID, ingestion date, title, company, location, employment type, industry fields, compensation text, source URL, application link, ingest timestamps, validation date, closed-listing status, and source business URL.^[5]

JobDataPool publishes reviewed job listings as monthly CSV snapshots. Its dataset page states that the releases are pinned by month and backed by DVC pointers, with related JSON, Parquet, API JSON, and gzip artifacts derived from the same release path.^[6] The public DVC repository for the dataset pointers is hosted on GitHub under jobpool-live/jobpool-listings-r2.^[7]

As of June 2026, the dataset pointer repository included monthly DVC pointer files for April, May, and June 2026. The June 2026 pointer referenced a CSV file on Cloudflare R2 and included checksum, size, path, and changed-date metadata.^[8]

The related jobpool.live site describes itself as the transparency layer for the Job Pool ecosystem, with bulk downloads, scraper documentation, contributor leaderboards, staged submissions, and operational visibility.^[9] JobDataPool documentation links this transparency layer back to the canonical API, schema, dataset, and RFC materials on jobdatapool.com.^[9]