Alternative data datasets
Browse by provider, category, marketplace, access, delivery and license
Every job posting collected since 2021: who is hiring, for what, where and at what salary. One row per posting with title, full description, location, salary and company; closed postings ship as their own file with the day each one went offline. Companies file included for firmographic joins.
What companies are doing, buying, complying with and investing in, from the topics they hire for. 9.4k topics across 14 keyword types rolled up per company: one row per company and topic with confidence and first/last-seen dates, so you can reach out while the need is still open.
Which of 33k technologies each company runs, inferred from what they hire for. One row per company and technology with confidence score, number of postings mentioning it and first/last-seen dates; technologies catalog and companies file included.
The job-postings-english-clean dataset, published by 2024-mcm-everitt-ryan, is an English-language corpus of online job postings distributed as a single Parquet train split of roughly 1.76 million rows. It is tagged as US-region data and is intended for text-based machine learning workflows.
The job-postings-raw dataset is a large-scale tabular collection of scraped job postings distributed in Parquet format. It aggregates records across multiple sources and locales, with US coverage indicated in the dataset metadata.
A Comprehensive Snapshot of Modern Employment
Categorized Roles with Detailed Descriptions, Benefits, and requirements
View source information and access options.
View source information and access options.
View source information and access options.
A Snapshot Into the Current Job Market
Scraped Jobs from Linkedin. Augmented with Job Skills
Analyzing job market and skills required for data professionals
Scraped linkedin Job Postings with NER via Google Gemini
Scraped linkedin Job Postings with NER via Google Gemini
Real-time data collected over 2 weeks
This data feed provides access to the last 3 months of job postings from the APAC region. On average, we add 44k new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologies, and
This data feed provides access to the last 3 months of job postings from all Countries (Global). On average, we add 184k new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technologi
This data feed provides access to the last 3 months of job postings from the United States (US). On average, we add 29.8K new job postings daily. Old files with job postings are removed after 100 days. Utilize this data to gain actionable insights into companies, markets, services, or technologies, or to backfill a job board. Identify company signals, analyze hiring trends, spot emerging technolog
This dataset includes historical and upcoming job postings for Australia (AU) collected by Techmap since January 2020, with an average of 193.9k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
Historical archive of job postings for Egypt (EG) with company, location, dates and salary where available: 376K job postings since 2020 (as of Sept. 2026), on average 13.7K new postings a month (as of mid 2026).
This dataset includes historical and upcoming job postings for India (IN) collected by Techmap since January 2020, with an average of 234.1k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for Japan (JP) collected by Techmap since January 2020, with an average of 58.3k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for Remote Jobs collected by Techmap since January 2024, with an average of 74k new job postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for the United Arab Emirates (AE) collected by Techmap since January 2020, with an average of 20.3k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for the United States (US) collected by Techmap since January 2020, with an average of 898.8k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
Jobs data
Employment-related dataset.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
Worldwide job listing collection refreshed daily, capturing required skills, credentials, and experience ranges.
United States job listing collection refreshed daily, capturing required skills, credentials, and experience ranges.
GenAI-job-postings-Dataset is a small, US-focused text corpus of generative-AI and machine-learning job postings distributed in Parquet format. The dataset is published on the Hugging Face Hub under an unstated license and comprises a single train split of roughly 120 rows.
Large-scale archive of current and past employment advertisements enabling labor market analysis and pattern detection.
View source information and access options.
View source information and access options.
Get a data sample: Comprehensive job market and job postings data with 280B+ records updated daily. Gain global employee insights, hiring trends, and recruiting activity for use in workforce analytics, talent acquisition, economic forecasting, competitive intelligence, and AI/ML model training.
Current and archived employment listings capturing job functions, required competencies, technology tools, pay ranges, and recruitment patterns.
Evaluation of recruitment demand segmented by occupation, competencies, compensation, technology usage, and workload distribution across organizations and geographies.
Scraped Data Science Job Postings with Salaries for ML & Career Analytics (2025)
Indeed Job Postings (2026) is a 1,000-row sample of US Indeed listings joined to company firmographics, published by fact-den on Apify. License terms are not stated, and the publisher directs users to a commercial source actor for fresh or filtered data.
View source information and access options.
View source information and access options.
View source information and access options.
The mintic_linkedin-job-postings dataset aggregates LinkedIn job posting text into a single string column with roughly 124,000 rows. It is published on Hugging Face by user jmparejaz under an unstated license.
Data Scientist job data from USA crawled via JobsPikr
Listings from Australia and New Zealand refreshed every day, going back to 2012.
Daily refreshed Canadian vacancy listings dating from 2012 onward.
Vacancy announcements collected from firms and employment sites across forty-one nations, with classification available in eleven languages.
Daily refreshed Singapore job listings dating back to 2012.
A daily-updated feed of United Kingdom employment listings beginning with the year 2012.
A daily-updated feed of United States employment listings covering every state starting from 2010.
UPDATED DAILY: Google Search Engine Results for Data Analyst Job Postings
german-job-postings is a publicly hosted corpus of roughly 70,584 normalized German-language vacancies drawn from the Bundesagentur für Arbeit Jobbörse API, each row tagged with the KldB-2010 occupation code and machine-assigned ESCO occupation and skill labels. The dataset is distributed under CC-BY-4.0 and is intended as an open alternative to the predominantly English/US job-posting resources available to machine-learning practitioners.
Dataset on job postings and their details and distribution
Explore Open Data from New York City
Global Job Postings – Multi-ATS is a single dated snapshot of 112,816 job listings aggregated from 23 applicant tracking systems and parsed into a 47-column schema by NextGig-Rocks. It is distributed as Parquet via the Hugging Face datasets library and targets labor-market research, not production job boards.