What is Job Postings Data?
Job postings data is information about vacancies publicly advertised by employers. It includes details such as job titles, descriptions, qualifications, locations, and application deadlines. This data provides insights into the current job market, hiring trends, and the demand for specific skills and roles. It’s used by job seekers, recruiters, economists, and policymakers to analyze labor market dynamics and make decisions related to employment.
Best Job Postings Datasets & APIs
Coresignal | Job Postings Data | Largest Professional Network + Indeed Jobs + 3 Other Sources | Global / 437M+ Records / Updated Monthly
Job Postings Data | Job Postings API | Global Job Postings | Fresh Data
Canaria | U.S. Job Postings Data | 700M+ Historical Job Postings from LinkedIn, Indeed, ATS & More | AI-Powered, 3-Year Historical Job Postings Data
Job postings Data, Indeed API, Indeed job listings data, Scrape All Publicly available Job Postings Data From Job site - Indeed, LinkedIn, Glassdoor
Job Postings Data / Global / Monster, Indeed, Glassdoor + 10 Job Boards / Updated Monthly
Bright Data | Job Postings Dataset (Global)
TagX | 100000+ Job Postings data | Job listings data | Human Resource (HR) data | Linkedin, Indeed , Monster, Glassdoor | Global
MixRank | Job Postings Data | Global Job Postings 1B+ Records | 45M Updates/Month | Hourly Delivery
Job Openings and postings Data in Africa ( Techsalerator)
Xverum | Job Postings Data | Global | Daily Job Updates | 13M+ Job Posts Daily | Insights Into Job Market Trends | Global Recruiting Data
Monetize data on Datarade Marketplace
Top Job Postings Data Providers
These data providers are trusted industry-wide to provide up-to-date information on people and companies, including job postings data. Use their datasets to get the most accurate view into a company and the general employment and market.
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Canaria Inc.Based in USAAccess over 700M job postings, company profiles, and salary insights from LinkedIn, Indeed, and Glassdoor. Track 50,000 companies via ATS feeds. Empower your... -
CoresignalBased in USAWith our offering of 710M+ professional profiles and 106M+ company records, businesses are guaranteed to find the right data and reach their goals. Moreover,...
Job Postings Data Use Cases
Job Postings Data Explained
Job Postings Data is used for various purposes such as analyzing job market trends, identifying skill demands, predicting labor market outcomes, and improving recruitment strategies. In this page, you’ll find the best data sources for job postings data, job postings dataset, job postings database, and jobs dataset.
Use Cases for Job Postings Data
Use Case 1: Talent Acquisition
Job postings data can be used for talent acquisition purposes. Companies and recruiters can analyze job postings data to gain insights into the job market, identify trends, and understand the demand for specific skills and roles. This information can help in developing effective recruitment strategies, targeting the right candidates, and optimizing job descriptions to attract top talent.
Use Case 2: Labor Market Analysis
Job postings data can be utilized for labor market analysis. Researchers, economists, and policymakers can analyze job postings data to understand the dynamics of the labor market. By examining the number of job postings, the skills required, and the geographical distribution, they can identify areas of job growth, skill gaps, and economic trends. This analysis can aid in making informed decisions regarding workforce development, education, and economic policies.
Use Case 3: Competitive Intelligence
Job postings data can provide valuable insights for competitive intelligence purposes. Companies can monitor their competitors’ job postings to gather information about their hiring strategies, expansion plans, and skill requirements. This data can help businesses stay updated on industry trends, identify potential threats, and make informed decisions regarding their own hiring and talent management strategies.
Main Attributes of Job Postings Data
Job posting data typically includes a variety of attributes that provide information about the job opportunities being advertised. These attributes may include the job title, company name, location, job description, required qualifications, desired skills, salary range, employment type (full-time, part-time, contract), application deadline, and contact information. Other possible attributes could be the industry or sector, years of experience required, educational background, benefits offered, and any specific application instructions. Here’s a table of the main attributes you might find on Job Postings Datasets:
| Attribute | Description |
|---|---|
| Job Title | The title or name of the job position |
| Company | The name of the company or organization offering the job |
| Location | The geographical location where the job is based |
| Job Description | A detailed description of the job responsibilities and requirements |
| Employment Type | The type of employment offered, such as full-time, part-time, contract, etc. |
| Salary | The salary or salary range associated with the job |
| Experience Level | The level of experience required for the job |
| Education Level | The minimum educational qualification required for the job |
| Skills | The specific skills or qualifications desired for the job |
| Application Deadline | The date by which applications must be submitted |
| Contact Information | The contact details of the company or person to reach out for further inquiries |
| Job ID | A unique identifier for the job posting |
| Date Posted | The date when the job posting was published |
| Job Category | The category or field to which the job belongs (e.g., IT, healthcare, finance) |
| Remote Work | Indicates whether the job allows remote work or requires on-site presence |
| Travel Requirements | Specifies if the job involves travel and the extent of it |
| Language Requirements | Any specific language skills required for the job |
| Company Size | The size of the company in terms of employees or revenue |
| Company Culture | Information about the company’s values, work environment, or culture |
| Benefits | Any additional benefits or perks offered with the job |
| Job Type | Categorization of the job, such as entry-level, senior-level, managerial, etc. |
| Job Duration | The expected duration of the job, if it is a temporary or contract position |
| Certification Requirements | Any specific certifications or licenses required for the job |
| Job Source | The platform or website from which the job posting originated |
| Job Status | Indicates if the job is still open or closed for applications |
| Equal Opportunity Employer | Specifies if the company is an equal opportunity employer |
| Work Schedule | The typical work schedule or hours associated with the job |
| Industry | The industry or sector to which the job pertains |
| Job Level | The hierarchical level of the job within the company |
| Benefits Package | Details about the benefits package offered by the company |
| Job Shift | The specific shift or working hours required for the job |
| Job Requirements | Any additional requirements or qualifications for the job |
How are Job Postings Data products priced?
Job postings datasets are typically priced based on various factors such as the size and quality of the dataset, the level of detail provided, and the intended use of the data. The pricing structure may vary depending on the data provider, but it often involves a combination of subscription plans, one-time purchases, or customized pricing based on specific requirements. Some providers offer tiered pricing based on the number of job postings or the frequency of updates, while others may charge based on the number of users or the level of access required. Additionally, premium datasets that include additional information such as salary ranges or company details may be priced higher than basic datasets. Overall, the pricing of job postings datasets is determined by the value and utility of the data for businesses, researchers, or other users.