What is Job Postings Data? Best Job Posting Datasets & Vendors

Job postings data provides insights into job vacancies, hiring trends, employer requirements, and industry demand. This guide explores examples, databases, and trusted providers where you can buy job postings datasets.
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Eugenio Caterino
Editor & Data Industry Expert

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

Datarade considers factors such as data accuracy, reliability, coverage, timeliness, historical data availability, data formats, API capabilities, data delivery methods, pricing models and compliance with data collection regulations.

Datarade Marketplace Logo
Eugenio Caterino
Editor & Data Industry Expert

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.

Logo of Coresignal

Job Postings Data | Job Postings API | Global Job Postings | Fresh Data

by Coresignal
4.8
USA
United Kingdom
Germany
+246
API available
Starts at
$49 / month
Logo of APISCRAPY

Job postings Data, Indeed API, Indeed job listings data, Scrape All Publicly available Job Postings Data From Job site - Indeed, LinkedIn, Glassdoor

by APISCRAPY
4.9
USA
United Kingdom
Germany
+58
Free sample preview
API available
Pricing available upon request
Logo of Canaria Inc.

Canaria | U.S. Job Postings Data | 700M+ Historical Job Postings from LinkedIn, Indeed, ATS & More | AI-Powered, 3-Year Historical Job Postings Data

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Decision Software

Job Postings Data | LinkedIn Data

by Decision Software
5.0
USA
Canada
Mexico
+10
Free sample preview
API available
Pricing available upon request
Logo of Bright Data

Bright Data | Job Postings Dataset (Global)

by Bright Data
4.9
USA
United Kingdom
Germany
+242
Free sample preview
API available
Pricing available upon request
Logo of Forager.ai

Global Job Postings Data | 732M Records | 21M Monthly Updates | HR-Focused Insights

by Forager.ai
4.9
USA
United Kingdom
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of Webautomation

Job Postings Data / Global / Monster, Indeed, Glassdoor + 10 Job Boards / Updated Monthly/web data

by Webautomation
5.0
USA
United Kingdom
Germany
+61
Free sample preview
Pricing available upon request
Logo of InfoTrie

Job Postings Data - Glassdoor, Indeed, LinkedIn and 50+ Job Boards Globally

by InfoTrie
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of MixRank

MixRank | Job Postings Data | Global Job Postings 1B+ Records | 45M Updates/Month | Hourly Delivery

by MixRank
USA
United Kingdom
Germany
+245
Free sample preview
Starts at
$7,500$6,750 / month
Logo of Techsalerator

Job Openings and postings Data in Africa ( Techsalerator)

by Techsalerator
4.9
Nigeria
South Africa
Egypt
+55
Free sample preview
Pricing available upon request

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Top Job Postings Data Providers & Companies

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.

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.

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.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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