Discover the "Job.com USA Jobs Dataset," a detailed resource that provides an in-depth look at the job market in the United States.

This dataset is sourced from Job.com, a leading employment platform in the USA, and includes comprehensive information on job listings across various industries and regions.

Key Features:

• Extensive Job Listings: Features a wide range of job postings from different sectors and industries, offering a comprehensive overview of employment opportunities across the United States.
• Detailed Information: Each listing includes important details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, remote, contract), required qualifications, and salary data.
• Insights into Market Trends: Analyze current trends in the US job market, including in-demand skills, leading employers, popular job roles, and geographic distribution of job opportunities.
• Ideal for Research and Analysis: This dataset is perfect for researchers, HR professionals, and data analysts interested in studying labor market trends, developing recruitment strategies, or understanding the employment dynamics in the USA.

The Job.com USA Jobs Dataset offers valuable insights into the American job market, making it a crucial resource for job seekers, employers, and researchers alike. Use this dataset to stay ahead of market trends, explore employment opportunities, and gain a deeper understanding of job market dynamics in the United States.

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 ** percent of the companies reporting the technology will create jobs and * percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with ** percent of organizations expecting the technology to displace jobs and ** percent expecting AI to create jobs.

This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:

• Company name • City • State • Number of active jobs

For job seekers, employers, and researchers, this resource can be particularly useful in several ways:

1. Identifying hot job markets: The data highlights cities with the highest number of job openings, helping job seekers focus their search on areas with more opportunities.
2. Company targeting: By showing which companies have the most active job listings, the dataset allows job seekers to target their applications to organizations that are actively hiring.
3. Industry trends: The information can reveal which industries or sectors are experiencing growth in California, guiding career decisions and educational pursuits.
4. Regional comparisons: Users can compare job markets across different California cities and regions, which is valuable for those considering relocation or analyzing economic trends.
5. Skill alignment: While the dataset doesn't directly provide skill requirements, it can be used alongside other resources to align job seekers' skills with in-demand positions.

For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.

Explore the "CareerBuilder US Jobs Dataset – August 2021," a valuable resource for understanding the dynamics of the American job market.

This dataset features detailed job listings from CareerBuilder, one of the largest employment websites in the United States, and provides a comprehensive snapshot of job postings as of August 2021.

Key Features:

• Extensive Job Listings: Includes thousands of job postings across various industries and sectors, providing a broad view of employment opportunities in the US.
• Detailed Information: Each listing contains essential details such as job titles, company names, locations, job descriptions, employment types (full-time, part-time, contract), required qualifications, and salary ranges.
• Insights into Trends: Analyze trends in employment, including the most in-demand skills, top hiring companies, popular job roles, and geographic distribution of job opportunities.
• Ideal for Research: This dataset is perfect for researchers, HR professionals, and data analysts interested in understanding the current state of the job market, developing recruitment strategies, or studying labor market dynamics.

By leveraging this dataset, you can gain valuable insights into the US job market as of August 2021, helping you stay ahead of industry trends and make informed decisions. Whether you're a job seeker, employer, or researcher, the CareerBuilder US Jobs Dataset offers a wealth of information to explore.

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

LinkUp Raw contains the most complete set of LinkUp’s job market data, dating back to 2007. The dataset includes full job postings sourced directly from employer websites as well as statistics and analysis of the job postings. Delivered daily, LinkUp Raw consists of 4 distinct components: individual job records, individual descriptions, core aggregates, and company reference data.

The dataset includes over 20 unique job and company level attributes and identifiers, such as, job title, full job description, job URL, company name, location, occupation code, sector code, ticker, reference data, and more.

Use Cases for Job Market Data:

-Rely on a unique, timely, and accurate job listings dataset sourced directly from employer websites globally. LinkUp collects, refines, and distributes data to deliver insightful, predictive, and actionable job market information.

-Perform deeper analysis with extensive global coverage, irreplaceable history, and over 20 unique job and company level attributes and identifiers.

-Enhance Alpha. Create models and signals to assess and predict job growth at the macro, sector, geographic, and individual company level

In 2025, there were estimated to be approximately *** billion people employed worldwide, compared to **** billion people in 1991 - an increase of around *** 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 ** 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 ****, meaning women made, on average, ** cents per every dollar earned by men.

Job Search Engines Market Outlook

The global job search engines market is poised for significant growth, with a market size projected to expand from $2.3 billion in 2023 to approximately $4.9 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.8%. This growth is driven by an increasing reliance on digital platforms for job searching and recruitment processes, which offer more efficient, comprehensive, and accessible options for both job seekers and employers. The integration of advanced technologies such as artificial intelligence and machine learning into job search platforms is enhancing the user experience by providing personalized job recommendations and improving matching accuracy, thus driving market growth. Moreover, the global workforce's shift towards more flexible and remote working arrangements has fueled the demand for digital job search solutions, further propelling the market forward.

One of the primary growth factors of the job search engines market is the rapid digital transformation across industries. As organizations increasingly adopt digital tools to streamline their operations, the recruitment process has also undergone a significant transformation. Job search engines facilitate this transition by enabling employers to reach a broader candidate pool and job seekers to access numerous employment opportunities efficiently. Furthermore, the increasing internet penetration and smartphone adoption globally have made these platforms more accessible, especially in emerging economies. The convenience and speed offered by job search engines compared to traditional recruitment methods have significantly contributed to their widespread adoption. These platforms not only save time for both parties involved but also reduce costs associated with hiring processes.

Another crucial factor contributing to market growth is the rising demand for skilled labor in specialized fields. Industries such as IT, healthcare, and engineering are experiencing a surge in demand for qualified professionals, driven by technological advancements and industry-specific developments. Job search engines have become invaluable tools in bridging the gap between talent demand and supply. They provide a platform for job seekers to showcase their skills and for employers to find the right candidates with the necessary expertise. The ability of these platforms to leverage data analytics and artificial intelligence to match candidates with appropriate job opportunities enhances their value proposition and drives their adoption across various industry verticals.

Furthermore, the evolving nature of the global workforce is a significant growth driver for the job search engines market. The shift towards gig economy and freelance work is reshaping how individuals pursue career opportunities. Job search platforms have adapted to this trend by offering features tailored to freelancers and gig workers, such as project-based listings and flexible job options. This shift is particularly pronounced among younger generations who prioritize work-life balance and flexibility over traditional employment models. As a result, job search engines have expanded their offerings to cater to this growing segment of the workforce, further fueling market growth. The ability of these platforms to cater to diverse employment needs makes them indispensable in today's dynamic job market.

Crawler Based Search Engine technology plays a pivotal role in enhancing the efficiency and reach of job search engines. These search engines utilize automated bots, known as crawlers, to systematically browse the web and index job listings from various sources. This approach ensures that job seekers have access to a comprehensive database of employment opportunities, which is continuously updated as new listings become available. By leveraging crawler technology, job search platforms can offer a more extensive range of job postings, providing users with a greater selection of potential career paths. This capability is particularly beneficial in industries with high turnover rates or rapidly changing job markets, where timely access to new listings is crucial for both job seekers and employers.

Regionally, North America remains a dominant player in the job search engines market, primarily due to the high adoption rate of digital recruitment solutions and the presence of key market players in the region. The robust technological infrastructure and high internet penetration further bolster the market's growth in North America. However, Asia Pacific is expected to

Following a survey on the impact of artificial intelligence (AI) in the labor market among South Koreans in 2024, ** percent of respondents answered that there will be more job losses after the implementation of AI. Meanwhile, about ** percent thought that there will be more jobs in the future.

Job Postings Data for Talent Acquisition, HR Strategy & Market Research Canaria’s Job Postings Data product is a structured, AI-enriched dataset that captures and organizes millions of job listings from leading sources such as Indeed, LinkedIn, and other recruiting platforms. Designed for decision-makers in HR, strategy, and research, this data reveals workforce demand trends, employer activity, and hiring signals across the U.S. labor market and enhanced with advanced enrichment models.

The dataset enables clients to track who is hiring, what roles are being posted, which skills are in demand, where talent is needed geographically, and how compensation and employment structures evolve over time. With field-level normalization and deep enrichment, it transforms noisy job listings into high-resolution labor intelligence—optimized for strategic planning, analytics, and recruiting effectiveness.

Use Cases: What This Job Postings Data Solves This enriched dataset empowers users to analyze workforce activity, employer behavior, and hiring trends across sectors, geographies, and job categories.

Talent Acquisition & HR Strategy • Identify hiring trends by industry, company, function, and geography • Optimize job listings and outreach with enriched skill, title, and seniority data • Detect companies expanding or shifting their workforce focus • Monitor new roles and emerging skills in real time

Labor Market Research & Workforce Planning • Visualize job market activity across cities, states, and ZIP codes • Analyze hiring velocity and job volume changes as macroeconomic signals • Correlate job demand with company size, sector, or compensation structure • Study occupational dynamics using AI-normalized job titles • Use directional signals (job increases/declines) to anticipate market shifts

HR Analytics & Compensation Intelligence • Map salary ranges and benefits offerings by role, location, and level • Track high-demand or hard-to-fill positions for strategic workforce planning • Support compensation planning and headcount forecasting • Feed job title normalization and metadata into internal HRIS systems • Identify talent clusters and location-based hiring inefficiencies

What Makes This Job Postings Data Unique

AI-Based Enrichment at Scale • Extracted attributes include hard skills, soft skills, certifications, and education requirements • Modeled predictions for seniority level, employment type, and remote/on-site classification • Normalized job titles using an internal taxonomy of over 50,000 unique roles • Field-level tagging ensures structured, filterable, and clean outputs

Salary Parsing & Compensation Insights • Parsed salary ranges directly from job descriptions • AI-based salary predictions for postings without explicit compensation • Compensation patterns available by job title, company, and location

Deduplication & Normalization • Achieves approximately 60% deduplication rate through semantic and metadata matching • Normalizes company names, job titles, location formats, and employment attributes • Ready-to-use, analysis-grade dataset—fully structured and cleansed

Company Matching & Metadata • Each job post is linked to a structured company profile, including metadata • Records are cross-referenced with LinkedIn and Google Maps to validate company identity and geography • Enables aggregation at employer or location level for deeper insights

Freshness & Scalability • Updated hourly to reflect real-time hiring behavior and job market shifts • Delivered in flexible formats (CSV, JSON, or data feed) and customizable filters • Supports segmentation by geography, company, seniority, salary, title, and more

Who Uses Canaria’s Job Postings Data • HR & Talent Teams – to benchmark roles, optimize pipelines, and compete for talent • Consultants & Strategy Teams – to guide clients with labor-driven insights • Market Researchers – to understand employment dynamics and job creation trends • HR Tech & SaaS Platforms – to power salary tools, job market dashboards, or recruiting features • Economic Analysts & Think Tanks – to model labor activity and hiring-based economic trends • BI & Analytics Teams – to build dashboards that track demand, skill shifts, and geographic patterns

Summary Canaria’s Job Postings Data provides an AI-enriched, clean, and analysis-ready view of the U.S. job market. Covering millions of listings from Indeed, LinkedIn, other job boards, and ATS sources, it includes detailed job attributes, inferred compensation, normalized titles, skill extraction, and employer metadata—all updated hourly and fully structured.

With deep enrichment, reliable deduplication, and company matchability, this dataset is purpose-built for users needing workforce insights, market trends, and strategic talent intelligence. Whether you're modeling skill gaps, benchmarking compensation, or visualizing hiring momentum, this dataset provides a complete toolkit for HR and labor intelligence.

About Canaria Inc. ...

Jobs are essential for the growth of individuals and countries alike. Achieving personal fulfillment is harder without a job, just as an economy as a whole cannot develop without the impetus of the labor market. These two perspectives unquestionably go hand in hand: from the individual perspective, finding a good job is a legitimate aspiration for anyone who wishes to support oneself and one's family; from the societal perspective, creating more and better jobs is essential to the achievement of lasting and equitable growth. Jobs for Growth rests on this dual vision. This book examines the performance of the region's labor market and, based on this analysis, proposes an integrated package of measures for both personal growth (through successful career paths) and economic growth (through more high-quality jobs and higher productivity). Over the past two decades, the bullish economic cycle has yielded undeniable gains for labor markets in Latin America and the Caribbean (LAC), among them lower unemployment, improved job creation, and a substantial increase in wages. However, the situation on the horizon -stagnation of the region's growth and weaknesses in the global macroeconomic outlook- have increased the urgency to find solutions to today's most pressing labor problems. This volume shows that, despite the still-low unemployment rates, the region may find itself trapped in a vicious cycle of poor-quality jobs -a phenomenon especially visible in the high percentage of informal jobs (which are defined in this publication as those without access to social security benefits) and in the high proportion of very short-lived jobs. As the title Jobs for Growth indicates, breaking this cycle will require comprehensive policies that boost productivity.

Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

The Department of Jobs and Small Business carries out research to understand the labour market for selected entry level occupations.

Job Search Engines Market size was valued at USD 19.14 Billion in 2024 and is projected to reach USD 105.4 Billion by 2031, growing at a CAGR of 14.2% during the forecast period 2024-2031.

Rising Employment Opportunities: As economies around the world expand, businesses scale up operations, subsequently creating more job opportunities. This growth in employment facilitates a greater need for efficient job search engines to match job seekers with potential employers. Certain sectors such as technology, healthcare, and renewable energy are growing rapidly, leading to an increase in job vacancies. Specialized job search engines cater to these niches, driving market growth. Populous countries with large, young workforces contribute to the increased number of job seekers utilizing job search engines. Growing Internet Penetration: As internet access becomes more widespread globally, more individuals can use online platforms, including job search engines. This is particularly notable in developing regions where internet adoption is accelerating. Lower costs of internet services and devices have made it more feasible for a broader audience to go online, boosting the user base for job search engines. The availability of high-speed internet makes the use of job search engines more convenient and effective, supporting features such as real-time notifications and the ability to upload and download large files (e.g., resumes and portfolios). Shift to Digital Recruitment: The integration of data analytics and AI in recruitment processes enables job search engines to offer more personalized and streamlined experiences for both job seekers and employers. Improved algorithms and machine learning facilitate better job-candidate matching, increasing the effectiveness and appeal of digital recruitment platforms. Digital platforms reduce the costs associated with traditional recruitment methods (e.g., print advertising and in-person job fairs). Employers benefit from decreased hiring costs, while job search engines profit from increased business. Increased Mobile Device Usage: With the global proliferation of smartphones, a significant portion of job searches is conducted via mobile apps and mobile-optimized websites. Job search engines that offer robust mobile platforms are experiencing higher engagement. Mobile devices provide unparalleled flexibility and convenience, allowing users to search for jobs, set up alerts, and apply for positions from anywhere, at any time. Innovative mobile apps designed by job search engines offer features such as GPS-based job searches, voice and video interviews, and chat support, which enhance the user experience. Technological Advancements: Innovations in AI, machine learning, and big data analytics enhance the functionality of job search engines, providing personalized job recommendations and improving match accuracy.

Remote Work Trends: The rise of remote work opportunities, especially post-pandemic, has increased the demand for job search engines that specialize in remote and freelance job listings.

Employer Branding: Companies use job search engines to build and promote their employer brand, attracting top talent by showcasing their work culture, benefits, and career opportunities.

Government Initiatives: Supportive government policies and initiatives aimed at reducing unemployment and promoting job creation boost the usage of job search engines.

Gig Economy Growth: The expanding gig economy, characterized by short-term contracts and freelance work, drives the need for specialized job search engines catering to gig workers.

Globalization and Cross-Border Employment: Increasing globalization and the trend of cross-border employment necessitate job search engines that facilitate international job searches and candidate sourcing.

We offer a unified analysis of the growth of low-skill service occupations between 1980 and 2005 and the concurrent polarization of US employment and wages. We hypothesize that polarization stems from the interaction between consumer preferences, which favor variety over specialization, and the falling cost of automating routine, codifiable job tasks. Applying a spatial equilibrium model, we corroborate four implications of this hypothesis. Local labor markets that specialized in routine tasks differentially adopted information technology, reallocated low-skill labor into service occupations (employment polarization), experienced earnings growth at the tails of the distribution (wage polarization), and received inflows of skilled labor.

Global Employment Services market size is expected to reach $3247.03 billion by 2029 at 10.9%, segmented as by type, employment placement agencies, executive search services, temporary help services, professional employer organizations

Temporary Labor Market Outlook

The global temporary labor market size was valued at approximately $500 billion in 2023 and is projected to reach around $780 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.1%. This growth is attributed to an increasing demand for flexible workforce solutions across various industry verticals and the rising need for cost-effective labor options amidst fluctuating economic conditions. The expanding gig economy and advancements in technology that facilitate remote work and temporary hiring processes are also significant contributing factors.

One of the primary growth drivers in the temporary labor market is the increasing preference for flexible work arrangements. Modern businesses are continuously seeking ways to adapt to market demands without the long-term commitment of permanent hires. Temporary labor allows companies to scale their workforce up or down based on project needs, seasonal demands, or economic conditions. This flexibility is particularly crucial in industries with high variability in workload, such as retail and hospitality, where demand can surge during certain periods and wane during others.

Another critical factor contributing to the growth of the temporary labor market is the rising trend of specialization within the workforce. As industries evolve, the demand for highly specialized skills has increased. Temporary labor provides a solution for companies needing niche expertise for specific projects or limited durations. For instance, in the IT and telecommunications sector, temporary professionals with specialized skills can be brought in to manage projects such as software development or network upgrades, ensuring that the company remains competitive without the need for permanent hires.

Technological advancements have also played a pivotal role in the expansion of the temporary labor market. Platforms and online marketplaces have emerged, making it easier for employers to connect with temporary workers and for workers to find short-term employment opportunities. These technologies streamline the hiring process, reduce overhead costs, and ensure a better match between employers' needs and workers' skills. Additionally, the growth of remote work enables businesses to hire temporary labor from a global talent pool, further enhancing their operational flexibility.

Temporary Healthcare Staffing has emerged as a critical component within the broader temporary labor market, particularly in response to the dynamic needs of the healthcare industry. The demand for temporary healthcare professionals, such as nurses, medical technicians, and administrative staff, is driven by the necessity to address staffing shortages and manage fluctuating patient care demands. This flexibility is essential for healthcare facilities to maintain high standards of care, especially during peak periods or unforeseen circumstances, such as public health emergencies. Temporary healthcare staffing not only provides a solution to immediate staffing gaps but also allows healthcare providers to access specialized skills and expertise without the long-term commitment of permanent hires.

Regionally, North America remains a significant player in the temporary labor market, driven by a well-established gig economy and a high rate of technological adoption. The Asia Pacific region is expected to experience the fastest growth, with countries like India and China leading the way due to their large labor force and rapidly expanding industries. Europe also shows robust demand for temporary labor, especially in sectors like manufacturing and healthcare. The Middle East & Africa and Latin America, while smaller in market size, are gradually catching up as businesses in these regions recognize the benefits of flexible labor solutions.

Employment Type Analysis

When segmented by employment type, the temporary labor market can be broadly categorized into skilled labor, unskilled labor, and professional services. Skilled labor includes workers who have specific skills or training, such as electricians, plumbers, and machine operators. This segment is crucial for industries that require precision and expertise, like construction and manufacturing. The demand for skilled labor is robust, driven by ongoing infrastructure projects and the need for specialized trades that cannot be easily automated.

Unskilled labor, on the other hand, comprises workers who pe

The Job listings dataset gives access key details about job opportunities, including job titles, company names, locations, and employment specifics. With direct application links and insights into application numbers, this dataset streamlines job searching and market trend analysis.Tailored for job seekers, recruiters, and market analysts, this dataset supports efficient decision-making in the competitive job market. Whether you're tracking hiring trends, optimizing recruitment strategies, or searching for your next career opportunity, the job listings information dataset is an invaluable tool for navigating the job landscape. Available job datasets

Indeed job listings information Glassdoor job listings information LinkedIn job listings information LinkedIn profiles job listings information