What is Job Postings Data? Best Job Posting Datasets & Vendors
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
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.
What Are Examples of Job Postings Data?
Examples of job postings data include datasets offering insights into hiring trends and workforce demand. Key examples include:
- Job Titles and Descriptions: Details of roles, responsibilities, and required qualifications.
- Company Data: Information about hiring companies, including size and industry.
- Location Information: Geographic data about job postings by city, state, or country.
- Salary Data: Offered compensation ranges for various positions.
- Posting Trends: Insights into the frequency and timing of job postings.
Editor's Pick
Best Job Postings Databases, Datasets & API
The best job postings datasets provide comprehensive insights into vacancies, employer trends, and salary information. This curated list features the top job postings datasets and APIs, selected for precision, quality, and trusted providers where you can buy job postings data.
Job Postings Data | 733M+ Job posts | Daily Updates
Job Postings Data | Job Postings API | Global Job Postings | Fresh Data
Canaria | Indeed Job Postings Data | U.S. | 4M+ Monthly Indeed Job Postings Data | AI-LLM Enhanced with 3 Years of Historical Indeed Job Postings Data
Canaria | U.S. Job Postings Data | 700M+ Historical Job Postings from LinkedIn, Indeed, ATS & More | AI-Powered, 3-Year Historical Job Postings Data
Canaria | LinkedIn Job Postings Data | U.S. Market | 5M+ Monthly Job Postings | AI-LLM Enhanced with 2 Years of Historical LinkedIn Job Postings Data
Job Postings Data | LinkedIn 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/web data
Global Job Postings Data | Daily Job Updates | 13M+ Job Posts Daily | Insights Into Job Market Trends | Global Recruiting Data
Venture Capital Data | Global Job Postings Data | Discover New Startups | 206M+ Records Since 2018
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Top Job Postings Data Providers & Companies
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Canaria Inc.
CoverageUSAUK+248VAs an AI-focused nonprofit, we've found Canaria Inc. to be an invaluable partner in understanding job market trends. Their comprehensive datasets, sourced responsibly from platforms like Indeed and LinkedIn, coupled with their advanced AI and NLP processing (this enables us to get additional insights which are not natively available in the source such as predicted salary, seniority level etc.), provide unmatched insights into the labor market. Their high deduplication rates ensure the accuracy and utility of the data, essential for our strategic planning and analysis. Canaria's tailored pricing and client-centric approach make them a top recommendation for any organization needing detailed labor market analytics.
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Coresignal
CoverageUSAUK+247VCoresignal has strong demographic and firmographic datasets both on quality and volume while keeping the data as fresh as it can be. We've been using Coresignal for years and we can only speak highly about the product and team behind it. Highly recommended.
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DatosGo
Comprehensive actions across the world1+data1+Daily1ccs
Popular Use Cases for Job Postings Data
Job postings data is essential for recruitment, market analysis, and workforce strategy. Businesses use it for talent acquisition, identifying trends in job openings and optimizing recruitment efforts. It supports labor market analysis, helping organizations understand industry demand and skill gaps. Additionally, competitive benchmarking leverages job postings data to compare hiring practices and compensation trends, just to mention a few.
Main Attributes of Job Postings Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 22 datasets | |
| Text | The description of a job. | View 17 datasets | |
| String | The title of a job. | View 16 datasets | |
| String | The source URL of a job. | View 15 datasets | |
| String | The industry classification of a company. | View 13 datasets | |
| String | The LinkedIn profile of a company. | View 13 datasets |
Job Postings Data Use Cases in Detail
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.
Frequently Asked Questions
How is Job Postings Data Collected?
Job postings data is sourced from multiple channels, including professional networks, company websites, and job boards. Advanced scraping technologies and partnerships with trusted platforms ensure comprehensive and accurate data collection. Our tip: Opt for datasets that offer verified sources and regular updates for reliable insights.
How Accurate and Reliable is Job Postings Data?
High-quality datasets report up to 99% accuracy, with frequent updates to capture the latest changes in the job market. Providers often validate data using AI-driven tools and manual verification methods. Our tip: Choose providers that offer daily or real-time updates to ensure data freshness and relevance.
How is Job Postings Data Secured and Compliant?
Job postings data is sourced ethically and complies with global data protection regulations, such as GDPR. Secure delivery methods like REST APIs and encrypted file transfers ensure data privacy and safety. Our tip: Confirm the provider’s compliance practices to ensure alignment with your organization’s data policies.
How is Job Postings Data Delivered?
Data can be delivered as flat files (CSV, JSON) or integrated through APIs for real-time access. Delivery frequencies range from daily to on-demand, allowing flexibility based on your use case. Our tip: Choose a delivery method that integrates seamlessly with your existing systems for efficient data utilization.
How Much Does Job Postings Data Cost?
Pricing models for job postings data vary, including one-off purchases, monthly subscriptions, and usage-based options. Costs depend on factors like coverage, volume, and delivery frequency. Many providers offer free samples or trials. Our tip: Take advantage of free samples to evaluate data quality before committing to a purchase.
What Are the Applications of Job Postings Data?
Job postings data is used for HR technology development, B2B lead generation, market trend analysis, and investment research. It helps businesses identify hiring trends, assess market demand, and refine sales strategies. Our tip: Define your primary use case to select datasets that best address your business objectives.
