Comprehensive dataset of 80 Staffing agencies in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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

Key Features of the Dataset: Extensive Coverage:

The dataset consolidates job postings from diverse sources, including company career websites, job boards, recruitment agencies, and professional networking platforms. This broad coverage ensures that the dataset includes a wide range of job opportunities across multiple channels. Daily Updates:

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

The dataset categorizes job postings by industry sectors such as technology, finance, healthcare, education, manufacturing, and more. This categorization allows users to analyze job market trends and opportunities within specific industries. Regional Breakdown:

Detailed information is provided on job openings across various countries, regions, and cities in Asia. This regional breakdown helps users understand job market dynamics and opportunities in different geographic locations. Role and Skill Insights:

The dataset includes information on job roles, required skills, qualifications, and experience levels. This helps job seekers find opportunities that match their expertise and assists recruiters in identifying 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 information is valuable for understanding which companies are hiring and where the demand for talent is concentrated. Historical Data:

The dataset may include historical job posting data, enabling users to analyze trends and changes in the job market over time. This feature supports longitudinal studies and comparative analysis. Asian Countries Covered: Afghanistan Armenia Azerbaijan Bahrain Bangladesh Bhutan Brunei Cambodia China Cyprus Georgia India Indonesia Iran Iraq Israel Japan Jordan Kazakhstan Kuwait Kyrgyzstan Laos Lebanon Malaysia Maldives Mongolia Myanmar (Burma) Nepal North Korea Oman Pakistan Palestine Philippines Qatar Saudi Arabia Singapore South Korea Sri Lanka Syria Taiwan Tajikistan Thailand Timor-Leste (East Timor) Turkey Turkmenistan United Arab Emirates Uzbekistan Vietnam Yemen Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the data to identify emerging hiring trends, understand competitive hiring practices, and refine their recruitment strategies based on real-time market conditions. Labor Market Analysis: Analysts and policymakers can leverage the dataset to study employment trends, identify skill shortages, and evaluate job market opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive list of job openings tailored to their skills and preferred locations, making their job search process more efficient and targeted. Strategic Workforce Planning: Companies can gain insights into the availability of talent in various Asian countries, assisting in decisions related to market expansion, office locations, and talent acquisition. Techsalerator’s Job Openings Data in Asia is a critical resource for gaining a detailed understanding of the diverse and dynamic job markets across the continent. By providing up-to-date and extensive information on job postings, it supports informed decision-making for businesses, job seekers, and market analysts.

Techsalerator’s Job Openings Data in Latin America provides a thorough and insightful dataset designed to deliver businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the Latin American region. This dataset aggregates job postings from a diverse array of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Latin America.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates job postings from a variety of sources, including company career sites, job boards, recruitment agencies, and professional networking platforms. This comprehensive coverage ensures that users receive a broad spectrum of job opportunities from multiple channels. Daily Updates:

Data is updated daily, providing real-time insights into job market conditions. 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 segmentation allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

Detailed information is provided on job openings across different countries and key regions within Latin America. This regional breakdown helps users understand job market dynamics and opportunities in various geographic areas. Role and Skill Analysis:

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

Users can access information about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where 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. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking, but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Recruitment: Recruiters and HR professionals can use the data to identify hiring trends, understand competitive practices, and optimize their 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, enhancing the efficiency and effectiveness of their job search. Workforce Planning: Companies can gain valuable insights into the availability of talent across Latin America, assisting with decisions related to market entry, expansion, and talent acquisition. Techsalerator’s Job Openings Data in Latin America is an essential tool for understanding the diverse and evolving job markets across the region. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

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.

Techsalerator’s Job Openings Data in Europe is a robust and meticulously curated dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the 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 in Europe.

Key Features of the Dataset: Comprehensive Coverage:

The dataset captures job postings from numerous sources, including company career pages, job boards, recruitment agencies, and professional networking sites. This broad coverage ensures that the dataset includes job opportunities across various platforms and channels. Daily Aggregation:

Data is updated daily, providing users with real-time insights into the job market. This frequent updating ensures that the information is current and reflects the latest trends and changes in job availability. Sector-Specific Insights:

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

The dataset includes detailed information on job openings across different regions and cities in Europe. This regional breakdown allows users to understand job market dynamics and opportunities in various geographic locations. Role and Skill Analysis:

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

Users can access data on the companies posting job openings, including company names, industries, and locations. This information is useful for understanding which companies are hiring and where the demand for talent is concentrated. Historical Data:

The dataset may include historical job posting data, enabling trend analysis and comparative studies over time. This feature allows users to track changes in job market demand and employment trends. EU Countries Covered: Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify trends in job postings, understand competitive hiring practices, and optimize their recruitment strategies based on current market conditions. Labor Market Analysis: Analysts and policymakers can leverage the data to study labor market trends, identify skill gaps, and evaluate employment opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive list of job openings, tailored to their skills and preferred locations, facilitating a more efficient and targeted job search process. Strategic Workforce Planning: Companies can gain insights into the availability of talent in various regions, helping them make informed decisions about expanding operations or setting up new offices. Techsalerator’s Job Openings Data in Europe provides a crucial resource for understanding the dynamic European job market. By offering detailed, up-to-date information on job postings across multiple sectors and regions, it supports effective decision-making for businesses, job seekers, and market analysts alike.

This table presents information on the development in turnover in the Temporary employment sector (SIC 2008 code 78). The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). Job pool companies (SIC code 78203) are not included in the survey. These companies account for only a very small part (1 percent) of total temporary employment sector (SIC code 78). The figures are expressed as a percentage change compared to a previous period and by means of an index. In this table the base year is updated to 2015, in previous publications the base year was 2010. Developments in turnover are published in two formats. Firstly, as a year-on-year mutation which expresses growth relative to the same period in the preceding year. The second format pertains to a period-on-period mutation, for example quarter-on-quarter. Period-on-period mutations are derived by applying seasonal adjustment. The predecessor of this table (see paragraph 3) also included the hours worked. As of the first quarter of 2018 the hours worked aren’t published by Statistics Netherlands anymore. Data available from 1st quarter 2005. Status of the figures: The figures on 2023 are provisional. The figures of a calendar year will become definitive no later than five months after the end of that calendar year. Until then, the figures in this table will be “provisional” and can still be adjusted as a result of corrected response. Changes as of August 31, 2023: Figures on the 2nd quarter 2023 have been added. When will new figures be published? As a rule quarterly statistics are published on the last working day of the second month after the quarter. Once definite figures have been published, Statistics Netherlands will only apply adjustments if significant corrections are necessary.

Comprehensive dataset of 1 Staffing agencies in Oregon, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Techsalerator’s Job Openings Data in Oceania provides a detailed and comprehensive dataset designed to offer businesses, recruiters, labor market analysts, and job seekers a clear view of employment opportunities across the Oceania region. This dataset aggregates job postings from a diverse range of sources on a daily basis, ensuring users have access to the most current and extensive collection of job openings available in Oceania.

Key Features of the Dataset: Broad Coverage:

The dataset consolidates job postings from a variety of sources including company career pages, job boards, recruitment agencies, and professional networking platforms. This extensive coverage ensures that users receive a wide array of job opportunities from multiple channels. Daily Updates:

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

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

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

The dataset provides information on job roles, required skills, qualifications, and experience levels. This feature helps job seekers find opportunities that match their expertise and aids recruiters in identifying 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 is useful for understanding which companies are hiring and where the demand for talent is high. Historical Data:

The dataset may include historical job posting data, enabling users to analyze trends and changes in the job market over time. This feature supports trend analysis and longitudinal studies. Oceania Countries and Territories Covered: Countries: Australia Fiji Kiribati Marshall Islands Micronesia (Federated States of) Nauru New Zealand Palau Papua New Guinea Samoa Solomon Islands Tonga Tuvalu Vanuatu Territories: American Samoa (U.S. territory) French Polynesia (French overseas collectivity) Guam (U.S. territory) New Caledonia (French special collectivity) Northern Mariana Islands (U.S. territory) Wallis and Futuna (French overseas collectivity) Benefits of the Dataset: Effective Recruitment: Recruiters and HR professionals can use the dataset to identify hiring trends, understand competitive hiring 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, improving the efficiency and effectiveness of their job search. Workforce Planning: Companies can gain valuable insights into the availability of talent in various countries and territories, assisting with strategic decisions related to market expansion and talent acquisition. Techsalerator’s Job Openings Data in Oceania is a crucial resource for understanding the diverse job markets across the region. By providing up-to-date and detailed information on job postings, it supports informed decision-making for businesses, job seekers, and labor market analysts.

Data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

Comprehensive dataset of 2 Staffing agencies in Kansas, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1 Staffing agencies in Oklahoma, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset contains 2018 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSA v2.0.0 (https://github.com/USEPA/flowsa/releases/tag/v2.0.0) and the method file https://github.com/USEPA/flowsa/blob/v2.0.0/flowsa/methods/flowbysectormethods/Employment_national_2018.yaml. The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.

This dataset contains 2017 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

The contents of the dataset relate to employment and unemployment trends in the province of Trento.

The data, which come from various sources, were drawn up by the Labour Market and Policy Studies Office for the preparation of the Annual Employment Report in the province of Trento, available as content open to the URL: https://www.agenzialavoro.tn.it/Open-Data/Other-content-available

The dataset, including resources in PDF format, is also available on the Employment Agency’s Open Data Portal at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Population-and-society/Labour-market/Employment-and-unemployment/Year-2016

The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated with the Good Tables library. https://okfnlabs.org/blog/2015/02/20/introducing-goodtables.html

ATTRIBUTION: data compiled by the Office of Studies of Policies and Labour Market on data of continuous survey on the annual average labour force Istat-ISPAT.

This table provides information on the development of turnover and temporary agency hours of employment agencies and employment services. This concerns all companies with the main activity in the temporary employment sector (SBI 2008 section 78) with the exception of job pools (SBI 2008 division 78203). Job pools are not part of this study. The share of these companies within the total employment sector (SBI 78) and the employment and lending agencies; Polish (SBI division 782) is low by 1 percent. The development is represented by indices and as a percentage change from the same period in the previous year. In addition, seasonally adjusted figures have also been included. The data can be broken down into a number of branches according to the Standard Business Classification (SBI) 2008.

Data available from Q1 2017 to Q4 2017.

Status of the figures: The figures for 2017 are provisional, those of the other periods are final.

Changes as of 27 June 2018: None, the table has been discontinued.

When are new figures coming? No longer applicable. This table was discontinued as a result of the five-yearly changeover as at 31 May 2018 and was followed up by a new table. For more information on the basic redirection, see paragraph 3.

Comprehensive dataset of 5 Staffing agencies in Georgia, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Upwork dataset offers an extensive collection of data related to freelance and remote work opportunities, including job listings, client profiles, and trends within the gig economy. This dataset is designed to enhance recruitment strategies, analyze freelance market trends, and improve project management through AI-driven insights.

Key features include:

Custom Delivery Options: Data available via Rest-API, Websockets, tRPC/gRPC, and other preferred methods. Vectorized Data: Delivered in vectorized formats compatible with various embedding models (e.g., LLaMA, ChatGPT) and vector databases (e.g., Chroma, FAISS, QdrantVectorStore). Comprehensive Data Coverage: Includes job listings, client profiles, freelancer details, and market trends specific to the freelance and remote work sector. Ease of Integration: Seamless integration with your AI systems for enhanced talent acquisition, project management, and market analysis. Additional Services: AI agent development and integration services available to maximize dataset utility. This dataset is ideal for companies, recruitment agencies, and platforms involved in freelance and remote work, enabling them to optimize their hiring processes and gain a competitive advantage in the gig economy.

Forager.ai's Global Job Postings Dataset stands unmatched! We meticulously track every public posting and capture all publicly available information for each record.

| Volume and Stats |

• 732M+ total records, constantly growing.
• 97M+ updates/month, the highest refresh rate in the industry.
• AI-driven data curation — we fuel the world's top sales and recruitment platforms with our robust data.
• Our delivery frequency is the industry's fastest, offering hourly updates.
• Delivery formats: JSONL, CSV.

| Datapoints |

• Key fields: Job Title, Normalized Job Title, Job Description, Company, Employment Type, Industries, Salary, Recruiter, Benefits, Company Address, Required Experience, Required Qualifications.
• Easily linkable to Forager's Company Dataset for deeper insights into company firmographics.

| Use Cases |

Sales Platforms, ABM Vendors, Intent Data Companies, AdTech and more: - Integrate our job postings data to provide your end-users with real-time insights into which companies are actively hiring. - Extract intent data based on future company departmental growth. - Advertising tech: Deliver targeted ads to potential candidates for recruiting clients, in combination with our people data.

Venture Capital and Private Equity: - Discover emerging startups that are beginning to hire. - Gain insights into high-growth startups' departmental growth plans. - Keep track of your portfolio companies' hiring strategies and job interest through job post lifecycle. - Empower your portfolio companies with competitor hiring practices insights. - Identify trending, high-demand industries with rapid hiring activities.

HR Tech, ATS Platforms, Recruitment Solutions, Executive Search Agencies: - Embed our job postings data into your platform to give your end-users unprecedented business opportunities. - Generate outreach signals for recruiters and business development teams using job postings open for over 60 days. - Identify new companies that could benefit from executive placement or headhunting services. - Match open roles for existing executive clients.

| Delivery Options | - Flat files via S3 or GCP - PostgreSQL Shared Database - PostgreSQL Managed Database - REST API - Other options available upon request, depending on the scale required.

Tags: Jobs Data, Job Postings, Workforce Intelligence, Economic Signals, Talent, Jobs Database, Hiring Data, Intent Data.

The contents of the dataset are related to the trend in employment levels expected in the province of Trento. The data, which come from various sources, were drawn up by the Labour Market and Policy Studies Office for the preparation of the Annual Employment Report in the province of Trento, available as content open to the URL: https://www.agenzialavoro.tn.it/Open-Data/Other-content-available The dataset, including resources in PDF format, is also available on the Employment Agency’s Open Data Portal at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Population-and-society/Labour market/Recruitment forecasts/Year-2018 The “time coverage” metadata refers to the time interval taken into account by the Historical Series that are identified in the file name with the suffix _ST. The indent ”-“ replaces the unpublished data as not available or not determinable or not publishable to protect the confidentiality of the statistical data (for values less than or equal to 5) or, in the case of sampling values, unreliable. The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated. ATTRIBUTION: data processed by the Office for the Study of Labour Policies and Market on Unioncamere-Ministry of Labour data, Excelsior Information System.