Introduction

The Job Market Insights Dataset offers a comprehensive view of job postings worldwide, providing critical data on job roles, salaries, qualifications, locations, and company profiles. This dataset serves as a valuable resource for understanding global employment trends and patterns in various industries.

Objective

The primary objective of analyzing this dataset is to gain actionable insights into job market dynamics, including in-demand skills, salary ranges by role, preferred qualifications, and geographical job distributions. This analysis can empower job seekers, recruiters, and businesses to make informed decisions.

Key Features

1. Diverse Job Roles: Includes details for various professions like Network Engineers, Software Testers, UX/UI Designers, and more.
2. Global Scope: Covers jobs from diverse locations, spanning countries and industries worldwide.
3. Comprehensive Data Points: Provides salary ranges, qualifications, job types, company profiles, and benefits offered.
4. Temporal Data: Captures job posting dates to understand trends over time.
5. Skills and Responsibilities: Details required skills and responsibilities, aiding in understanding role-specific requirements.

Benefits for Data Science

• Predictive Modeling: Build models to predict salaries, skill demands, or the probability of job fulfillment.
• Trend Analysis: Identify trends in job roles, qualifications, and compensation.
• Geospatial Analysis: Map job distributions to uncover opportunities in specific regions.
• Clustering & Segmentation: Segment jobs by industry, role, or qualifications for targeted insights.
• Skill Gap Identification: Analyze skill requirements to identify gaps between current offerings and market demands.

This dataset is a goldmine for extracting insights that can optimize recruitment strategies, guide career planning, and inform educational initiatives.

Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

By the last business day of September 2024, there were about 7.44 million job openings in the United States. This is a decrease from the previous month, when there were 7.86 million job openings. The data are seasonally adjusted. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

Between 2023 and 2027, the majority of companies surveyed worldwide expect big data to have a more positive than negative impact on the global job market and employment, with 65 percent of the companies reporting the technology will create jobs and 7 percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with 23 percent of organizations expecting the technology to displace jobs and 49 percent expecting AI to create jobs.

Xverum’s Global Job Market & Job Postings Data offers one of the largest datasets available, featuring 280B+ records updated daily. Covering 13M+ daily job postings, employee insights, and recruiting trends, our dataset provides a comprehensive view of global labor market dynamics. Designed to empower workforce analytics, talent acquisition, economic forecasting, and AI & ML model training, it’s an essential resource for data-driven decision-making.

Key Features:

1️⃣ Extensive Job Postings Data: Access 13M+ job postings daily from multiple industries and geographies. Detailed attributes include job titles, descriptions, locations, industries, and application requirements.

2️⃣ Real-Time Updates: Data refreshed daily ensures relevance and accuracy for live applications.

3️⃣ Global Coverage: One of the most extensive datasets available, with hiring activity tracked in every country worldwide.

4️⃣ GDPR-Compliant and Secure: Fully compliant with GDPR and CCPA regulations, ensuring ethical and safe data usage.

Primary Use Cases:

✳️ Workforce Analytics: Monitor job demand and labor market trends for strategic workforce planning.

✳️ Talent Acquisition and Recruiting: Analyze hiring activity to identify recruiting trends and optimize talent strategies.

✳️ Economic Forecasting: Use job postings data as an economic indicator to track industry growth and market opportunities.

✳️ Market Research: Gain insights into hiring activity across industries and regions to understand market dynamics.

✳️ Competitive Intelligence: Track competitor hiring patterns and job postings to benchmark market positioning.

✳️ AI/ML Model Training: Train predictive models for job matching, labor trend forecasting, and workforce optimization.

Why Choose Xverum’s Job Market Data? ✅ Massive Scale: 13M+ daily job postings and 280B+ records ensure unparalleled depth and global reach. ✅ Real-Time Updates: Daily refreshes ensure the latest job data for actionable insights. ✅ Comprehensive Coverage: Spanning industries, and geographies worldwide. ✅ GDPR-Compliant: Secure and ethically sourced data for peace of mind.

Key Data Attributes: 📎 Job title, description, and location. 📎 Industry classification and hiring organization. 📎 Posting date, application deadline, and employment type (e.g., full-time, remote).

Request a sample dataset today or contact us to tailor your job market data solution. Empower your business with Xverum’s Job Market & Job Postings Data for smarter, data-driven decision-making.

In 2025, there were estimated to be approximately 3.6 billion people employed worldwide, compared to 2.23 billion people in 1991 - an increase of around 1.4 billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly 90 percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was 0.83, meaning women made, on average, 83 cents per every dollar earned by men.

Employment Rate in the United States decreased to 59.70 percent in May from 60 percent in April of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Techsalerator’s Job Openings Data in Africa offers a comprehensive and insightful dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a thorough view of employment opportunities across the African continent. This dataset aggregates job postings from a wide range of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Africa.

Key Features of the Dataset: Broad Coverage:

The dataset aggregates job postings from numerous sources including company career pages, job boards, recruitment agencies, and professional networking sites. This extensive coverage ensures a broad spectrum of job opportunities from multiple channels. Daily Updates:

Job posting data is updated daily, providing real-time insights into the job market. This frequent updating ensures that the dataset reflects the latest job openings and market trends. Sector-Specific Data:

Job postings are categorized by industry sectors such as technology, healthcare, finance, education, manufacturing, and more. This categorization allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

The dataset includes detailed information on job openings across different countries and regions within Africa. This regional breakdown helps users understand job market dynamics and opportunities in various geographic locations. Role and Skill Insights:

The dataset includes information on job roles, required skills, qualifications, and experience levels. This feature assists job seekers in finding opportunities that match their expertise and helps recruiters identify candidates with the desired skill sets. Company Information:

Users can access details about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where the demand for talent is highest. Historical Data:

The dataset may include historical job posting data, enabling users to perform trend analysis and comparative studies over time. This feature supports understanding changes and developments in the job market. African Countries Covered: Northern Africa: Algeria Egypt Libya Mauritania Morocco Sudan Tunisia Sub-Saharan Africa: West Africa: Benin Burkina Faso Cape Verde Ivory Coast (Côte d'Ivoire) Gambia Ghana Guinea Guinea-Bissau Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Central Africa: Angola Cameroon Central African Republic Chad Congo, Republic of the Congo, Democratic Republic of the Equatorial Guinea Gabon São Tomé and Príncipe East Africa: Burundi Comoros Djibouti Eritrea Eswatini (Swaziland) Ethiopia Kenya Lesotho Malawi Mauritius Rwanda Seychelles Somalia Tanzania Uganda Southern Africa: Botswana Lesotho Namibia South Africa Swaziland (Eswatini) Zimbabwe Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify hiring trends, understand competitive practices, and refine recruitment strategies based on real-time market insights. Labor Market Analysis: Analysts and policymakers can leverage the dataset to study employment trends, identify skill gaps, and evaluate job market opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive and updated list of job openings tailored to their skills and preferred locations, making their job search more efficient and targeted. Strategic Workforce Planning: Companies can gain valuable insights into the availability of talent across Africa, assisting with decisions related to market expansion, office locations, and talent acquisition. Techsalerator’s Job Openings Data in Africa is a critical resource for understanding the diverse and evolving job markets across the continent. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

Dataset Overview

The "AI and ML Job Listings USA" dataset provides a comprehensive collection of job postings in the field of Artificial Intelligence (AI) and Machine Learning (ML) across the United States. The dataset includes job listings from 2022 to 2024, capturing the evolving landscape of AI/ML job opportunities. This dataset is valuable for researchers, job seekers, and data scientists interested in understanding trends, demands, and opportunities in the AI/ML job market.

Data Science Applications

This dataset can be utilized for various data science applications, including: - Trend Analysis: Identifying trends in job titles, locations, and required skills over time. - Demand Forecasting: Predicting future demand for AI/ML roles based on historical data. - Skills Gap Analysis: Analyzing the skills and experience levels in demand versus the available workforce. - Geospatial Analysis: Mapping job opportunities across different regions in the USA. - Salary Prediction: Developing models to predict salaries based on job descriptions and other attributes. Some job descriptions include salary information, which can be identified by exploring the 'description' column for mentions of compensation, pay, or salary-related terms.

Column Descriptors

1. title: The job title (e.g., AI/ML Engineer).
2. location: The location of the job (e.g., New York, NY).
3. publishedAt: The date the job was published (e.g., 2024-05-29).
4. companyName: The name of the company offering the job (e.g., Wesper).
5. description: A detailed description of the job (e.g., responsibilities, qualifications, and sometimes salary information).
6. applicationsCount: The number of applications received (e.g., Over 200 applicants).
7. contractType: The type of contract (e.g., Full-time).
8. experienceLevel: The level of experience required (e.g., Mid-Senior level).
9. workType: The type of work (e.g., Engineering and Information Technology).
10. sector: The industry sector of the job (e.g., Internet Publishing).

Ethically Mined Data

This dataset has been ethically mined using an API, ensuring no private information has been revealed. Sensitive data, such as the recruiter name, has been removed to protect privacy and comply with ethical standards.

Acknowledgments

• LinkedIn: For providing the platform where these job listings were originally posted.
• DALL·E 3: For generating the thumbnail image used for this dataset.

This dataset provides a rich resource for analyzing and understanding the AI and ML job market in the USA, offering insights into job trends, requirements, and opportunities in this rapidly growing field.

Unemployment Rate in the United States remained unchanged at 4.20 percent in May. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Labour Market: UF: Sverdlovsk Region: Yekaterinburg City: Number of Registered Job Seekers data was reported at 5,135.000 Person in 2019. This records an increase from the previous number of 4,540.000 Person for 2018. Labour Market: UF: Sverdlovsk Region: Yekaterinburg City: Number of Registered Job Seekers data is updated yearly, averaging 7,601.000 Person from Dec 1993 (Median) to 2019, with 27 observations. The data reached an all-time high of 18,352.000 Person in 2009 and a record low of 4,023.000 Person in 1993. Labour Market: UF: Sverdlovsk Region: Yekaterinburg City: Number of Registered Job Seekers data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GB050: Labour Market Statistics: by City: Ural Federal District. Number of Registered Job Seekers refers to job seekers registered by government employment agencies Численность не занятых трудовой деятельностью граждан охватывает лиц, состоящих на учете в государственных учреждениях службы занятости

In the fourth quarter of 2024, there were around 151,800 vacancies in the manufacturing industry in Germany. In the information and communication industry there were also 70,500 job openings recorded.

Labour market statistics summary data table, including earnings, employment, unemployment, redundancies and vacancies, Great Britain and UK, published monthly.

Data and analysis of Washington's employment conditions, economy, job market and workforce. These reports can help make informed career, hiring and policy decisions.

Experimental labour market estimates using administrative data to produce adjusted UK employment, unemployment and economic inactivity measures, seasonally adjusted. Includes a breakdown by countries and regions of the UK.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data …Show full descriptionThe Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Monitoring and assessing the Employment Insurance (EI) program helps provide a clear understanding of its impact on the Canadian economy and its effectiveness in addressing the needs of Canadian workers, their families and their employers. These files include data from Annex 1 Key Labour Market Statistics Data Tables.

Job Offers in the United States increased to 7391 Thousand in April from 7200 Thousand in March of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Tired of guessing what's happening in the job market? Xverum's 13M+ job data gives you real-time insights into the dynamic world of work, empowering you to make data-driven decisions and stay ahead of the curve.

Why Xverum's employee data?

➨ Real-time intelligence: Get a pulse on the job market with daily updates from over 13 million job ads, revealing the latest trends and opportunities.

➨ Unrivaled data breadth: Access rich datasets, including employee data, job market data, recruiting data, and even Indeed data, giving you a comprehensive picture of the job landscape.

Actionable insights: Use Xverum's data to:

➨ Optimize your HR strategy: Identify in-demand skills, salary expectations, and talent pools to attract the best talent.

➨ Validate your B2B leads: Target companies actively hiring for your ideal clients, maximizing your marketing ROI.

➨ Unlock HR intelligence: Gain deeper insights into employee demographics, industry trends, and competitor hiring practices.

➨ Optimize talent acquisition: Attract the right talent with precision, ensuring your recruitment efforts are effective and efficient.

➨ Conduct in-depth labor market research: Analyze specific industries, regions, and job categories to inform your business strategies.

➨ Effortless integration: Our industry-standard CSV formats seamlessly integrate with your existing systems and tools for easy analysis.

➨ Historical data at your fingertips: Access past job trends, using 3 years of historical job data, to understand how the market has evolved and anticipate potential future opportunities.

Xverum's global HR data is your secret weapon for success in the dynamic job market. Contact us today to learn how it can transform your business!