Daily US and Canadian job postings from 160,000 employer career sites and major boards, deduplicated, with normalized titles, occupation codes, skills, locations and salaries.
Data product · Listing updated 11 Nov 2026
Canada, United States
Postings appear within 24 hours of first publication
About 38 million unique postings a year
Small and medium businesses, Mid-market, Enterprises, Academia and research
Employer career sites, applicant-tracking-system job pages, public job boards and government job banks
Daily crawls with cross-source deduplication and model-based normalization of titles, skills and salaries
One clean record per real job opening across the US and Canada, refreshed daily.
Each posting includes the employer name and domain, normalized job title, occupation code (SOC 2018 for the US, NOC 2021 for Canada), extracted skills, city, state or province, remote or hybrid status, salary range where advertised, first-posted and removed dates. Reposts and the same job listed on multiple boards are merged into one record, with a count of sources. Staffing-agency postings are flagged so you can include or exclude them.
We crawl about 160,000 employer career sites and applicant-tracking-system pages daily, supplemented by public job boards and government job banks. Postings are deduplicated using employer, title, location and text similarity. Titles and skills are normalized with models reviewed against hand-labelled samples. Salary is present on roughly half of postings, higher in jurisdictions with pay-transparency rules. New postings appear within 24 hours of first publication, and history goes back to 2016. Applicant data is never collected.
14 fields as documented by Maplecourt Workforce Data.
| Field | Type | Description | Example |
|---|---|---|---|
| posting_id | string | Maplecourt posting ID | — |
| employer_name | string | Normalized employer name | — |
| employer_domain | string | Employer website domain | — |
| title_normalized | string | Cleaned job title | — |
| occupation_code | string | SOC 2018 (US) or NOC 2021 (Canada) code | — |
| skills | array | Extracted skills | — |
| city | string | Job city | — |
| region | string | State or province | — |
| country_code | string | US or CA | — |
| remote_type | string | onsite, hybrid or remote | — |
| salary_min | number | Advertised minimum annualized salary | — |
| salary_max | number | Advertised maximum annualized salary | — |
| posted_date | date | First date the posting was seen | — |
| removed_date | date | Date the posting disappeared from all sources | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| employer_namestring | title_normalizedstring | occupation_codestring | citystring | country_codestring | salary_minstring | salary_maxstring | posted_datestring |
|---|---|---|---|---|---|---|---|
| Example Health Systems | Registered Nurse | 29-1141 | Columbus | US | 72000 | 91000 | 2026-11-03 |
| Demo Freight Inc. | Logistics Coordinator | 13201 | Calgary | CA | 54000 | 62000 | 2026-11-02 |
| Sample Software Ltd | Senior Software Engineer | 21231 | Toronto | CA | 118000 | 142000 | 2026-11-01 |
| Example Retail Group | Store Manager | 41-1011 | Phoenix | US | 58000 | 70000 | 2026-10-31 |
Prices in USD, as published by Maplecourt Workforce Data
US and Canada daily feed
daily feed plus full history since 2016
Converted amounts use DataStoa display rates and are approximate. Maplecourt Workforce Data quotes the final price, taxes and terms.
Request detailed pricing2 countries.
Time coverage: 2016 to present.
Provider-reported
Latency: Postings appear within 24 hours of first publication
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Maplecourt Workforce Data. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach. Ask Maplecourt Workforce Data if you need any of these.
Job postings, wages and hiring signals for North American employers
Maplecourt collects and deduplicates job postings from employer career sites and job boards across the US and Canada, then turns them into wage benchmarks and company-level hiring signals. HR, strategy and investment teams use it to see where demand for skills is moving.
Also available on: Snowflake Marketplace, AWS Data Exchange
What buyers say about Maplecourt Workforce Data. Reviews cover the provider, not only this listing.
from 2 reviews
The ticker-mapped hiring velocity series is point in time and the mapping handles subsidiaries sensibly. It improved one of our sector models modestly, which is about what we hoped. Delivery into our bucket has been on time every week.
Kevin L., Data scientist, Quant equity fund
The same job reposted on several boards shows up once with all its sources attached, so our demand counts are no longer inflated. Salary fields are sparse outside states with pay transparency laws, which they document clearly.
Rachel N., Talent intelligence analyst, Staffing group