Versioned Datasets · Open & Reproducible
JobDataPool ships reviewed listings as monthly, multi-format samples you can actually cite. Anonymous CSV, JSON, Parquet, and API JSON downloads contain a random sample of up to 100,000 masked jobs and follow the same JSON Schema as /v1/jobs. Sign in when you need the complete masked release and its DVC pointer.
Grab latest.csv for the current sample, or scroll the catalog for a pinned month and format.
The JobDataPool database is available under ODC-By 1.0. You may use, adapt, and redistribute the database, including commercially, with attribution to JobDataPool. The license covers database rights owned or controlled by Job Pool; individual job descriptions, trademarks, logos, and other third-party content may remain subject to their originating publishers’ rights and terms.
Rows are built from the release repository’s DVC pointers.
Each release is derived from its canonical DVC-pinned CSV. Anonymous links use the listings-f-* sample family;
sampled JSON, Parquet, API JSON, and gzip files live under More formats. After sign-in, the catalog switches to complete masked releases and shows DVC pointers.
| Release | Primary file | Published | Size | Download |
|---|---|---|---|---|
| Loading version catalog… | ||||
# Always fetch the current anonymous sample (up to 100,000 jobs)
curl -L -o listings-latest.csv https://jobdatapool.com/datasets/latest.csv
# Pin September 2026 explicitly
curl -L -o listings-f-september-2026.csv \
"https://pub-e2c96b2fef074ee0809919335319632f.r2.dev/listings-f-september-2026.csv"
# Machine-readable catalog (DVC URLs, schemas, freshness)
curl -s https://api.jobdatapool.com/v1/sources
# Live slice without downloading the full CSV
curl -s "https://api.jobdatapool.com/v1/jobs?limit=25&country_code=US"
These are not scraped HTML dumps. Each row is a structured listing validated against
job-listing.schema.json and aligned with
JPE-RFC-0001 trust fields: employer context, title, location signals,
url, apply_link, ingest timestamps, and listing_closed when a role has gone stale.
listings-YYYY-month.csv) plus DVC receipts.Land latest.csv in Snowflake, BigQuery, or Postgres, validate against the schema, and treat JobDataPool as an external dimension table for hiring-market analytics.
Train role classifiers, geography normalizers, or fit models on a frozen monthly sample. Signed-in users can also pin the complete release’s DVC pointer.
Import a snapshot, then poll /v1/jobs for deltas. /v1/sources tells you when a new monthly drop landed without re-scraping the catalog page.
Assert incoming partner feeds still match JSON Schemas. Fail builds when columns drift—before bad rows reach production dashboards.
You inherit a pooled, reviewed normalization pass: deduped IDs, consistent columns, closed-listing flags, and source URLs that survived validation. You spend time on analysis, not re-building the same ETL every month.
Cite the specific month’s listings-f-* filename and access date. Signed-in users can additionally cite the complete release’s DVC pointer. Use latest.csv only when you explicitly want a moving target.
Yes. Consumer surfaces in the Job Pool ecosystem read from the same lineage. This page is the canonical download front door; transparency tools may expose additional contributor-facing slices.
/v1 reference and OpenAPI contract.