Job Postings Data: Best Job Postings Datasets & Databases

What is Job Postings Data?

Job postings data is data that is collected through a series of feeds that pick up on hundreds of thousands of job postings that are posted online. They can be sorted through various means such as type of job, where they are, and income level. This information is picked up from numerous websites around the world using web scraping tools.

How is Job Postings Data collected?

Collecting this data is done through an automated service. This collection is then compiled and placed into a database. It is sorted and then sold to various places or given for free on platforms. The API and feed works to recognize a series of keywords in the jobs that are posted across the web, and not just in a couple of places.

What are the attributes of Job Postings Data?

The data has a number of attributes that come with it, such as the type of job, where the job is, how much the job pays, description of the job, what skills and extras the person would need, and any other important data that a person would need to have in order to apply to the position.

Is Job Postings Data aggregated?

Yes, job postings data is essentially aggregated by amassing together job postings from wide-ranging sources and compiling them to be included in a single database. Job postings data aggregation is beneficial because it enables job boards to provide openings to site visitors and help recruiters fill vacant positions in compliance with privacy regulations. Companies seeking to broadcast open positions on a given job board pay a subscription fee for the time that the job postings will appear on an online job posting board.

What is Job Postings Data used for?

Companies and businesses who are looking to provide job information to job seekers would use this data. Not only that, but those who are looking for the best place to post their job and the description. It can also provide more insight into the best ways to advertise the jobs to job seekers.

What is Job Postings Data analysis?

Job postings data analysis refers to the process of collecting job postings data through a series of feeds that amass hundreds of thousands of job postings that are posted on the internet and using this data to ascertain various features such as the type of jobs posted, the locations, and income level as well as other aspects of the posted job. Job postings data analysis is made possible due to the various available scraping mechanisms that aid with the collection of data. Job postings data analysis assists companies in making better hiring decisions by looking for best places to post their jobs, understanding what the applicant pool looks like, and the assessing the state of the job market in general.

How does Job Postings Data help with market predictions?

In modern day corporations, human capital is an essential element of value creation for the overall business entity. As such, a business’ online job postings are seen as perfect indicators and providers of predictive information to investors about a company’s future prospects and growth. Researchers and market value experts see that changes in the rate of job postings by a company are positively associated with changes in future performance of the business, especially if these changes reflect growth rather than replacements of the existing work force. Generally, investors respond positively to positive changes in the number of job posted by the company.

How can a user assess the quality of Job Postings Data?

The data is checked for quality based on the type of information that is given, if the job is legitimate, as well as whether the company is well-known, or if it does not exist. The information on these job listings have to be checked and vetted to ensure that they are actual jobs.

Is FRED a source of Job Postings Data?

Yes, the Federal Reserve Economic Data (FRED) is a source of job postings data. FRED provides job postings indexed trends on Indeed in the United States. As such, much of the job postings data provided by FRED is pulled from Indeed. Indeed Hiring Lab is a recognized worldwide for its team of economists and researchers who deliver job employment overviews that assist in driving global market discourse. As a hiring lab, Indeed provides research majorly on the world’s labor market topics using proprietary data and publicly available sources. Nonetheless, the job postings data provided by FRED is not detailed enough for all use cases as it only represents the percentage change of job postings from a previous year. As such, for someone looking to buy job postings data, FRED may not be the most reliable job postings data provider.

Is Indeed a good source of Job Postings Data?

Considered the world’s largest and number one job site, Indeed is indeed a good source of job postings data. In addition to being a useful tool for companies to search for candidates in its resume database and for posting job ads, Indeed is a data marketplace that has large quantities of aggregated data from various career sites and agencies. Job posting data vendors and job boards find Indeed as a useful platform to inform their recruitment research purposes. Job boards purchase job posting data from Indeed and use it to analyze their competitor’s strategies, contemporary job trends, and up-to-date salary ranges.

What is a Google Job Posting API?

In a bid to make job search features real-time and up-to-date, Google launched an API referred to as Indexing API. Google released this particular API for job posting URLs owing to the fact that job listings come and go quickly. As such, the core purpose of Google’s Indexing API is to be able to capture the rapid changes that occur during job postings. It works in such a way that a job board can directly notify Google when job postings pages are added or removed. This initiative has resulted in fresh crawls being performed constantly, which translates to better quality user traffic and better insights into job postings and job applicants rates.

How to collect/scrape data from a Job Postings board?

Large web job portals have inbuilt anti-scraping mechanisms that are meant to prevent scraping bots from extracting information. As such, the process of scraping job data from job boards ought to be approached strategically and systematically. The most common method that can be used for job data scraping is hiring a web scraping service. Web scraping companies will take requests and using scripts, servers and IP proxies, they will provide data according to the user’s preferred format and frequency of delivery. They offer job postings data subscriptions services for clients to buy at their convenience.

Where can I buy Job Postings Data?

Data providers and vendors listed on Datarade sell Job Postings Data products and samples. Popular Job Postings Data products and datasets available on our platform are Coresignal | Job Posting Data / Global / The Largest Professional Network, Indeed, Glassdoor + 3 Other Sources / 327M+ Records / Updated Monthly by Coresignal, Rocks & Gold Job Postings Data (Europe, USA, Canada): 15M+ (50+ job boards) B2B Tech Hiring Requests to Uncover Real-time Demand and Trends by Rocks & Gold, and 100000+ Job Posting dataset | Extract Entities | Analyze Job Markets | Linkedin, Indeed + 4 other sources by TagX.

How can I get Job Postings Data?

You can get Job Postings Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Job Postings Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Job Postings Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Job Postings Data?

Job Postings Data is similar to B2B Leads Data, Firmographic Data, Technographic Data, B2B Intent Data, and Company Data. These data categories are commonly used for Employee Reward Strategy and Competitive Intelligence.

What are the most common use cases for Job Postings Data?

The top use cases for Job Postings Data are Employee Reward Strategy and Competitive Intelligence.