LinkUp

Integrate Data
Subscription Details 
LinkUp offers quarterly or annual subscriptions to the dataset, with the option of a 3-month trial to evaluate and test the data.
Update Granularity 
LinkUp’s daily feeds are updated on a daily basis. On any given day, the most recent data for a daily file is from the day prior. Monthly files are generated on the first day of each new month for the previous month.
Price 
LinkUp data subscriptions range from $25,000 per year to $120,000 per year based on product, use-case, volume, delivery, and term length.

LinkUp has built the world's most extensive, accurate, and up-to-date set of jobs direct from employer websites. With the largest and highest quality job listings index of 5 million monthly job openings sourced from almost 35,000 company websites globally, LinkUp is the leading provider of job market data and analytics. From this robust and unique dataset of jobs information, LinkUp has developed a wide range of data solutions and services that provide valuable insights across capital markets, corporations, and the public sector.

Insights
Collection Methodology 
LinkUp spiders, parses, processes, stores, and delivers jobs data. 
Spider: Crawl job listings pages and collect all the URLs to the individual job Parse: Capture the contents of each page and extract the individual job elements Process: Clean up formatting, map locations, assign SOC | O*NET classification Store: Save job information in search engine and relational databases Deliver: Distribute jobs through feeds, API, reports, and platforms.
Regional Coverage 
LinkUp’s dataset includes job listings in 195 countries, with a significant overweight to the United States.
History 
LinkUp’s historical dataset contains 110 million job records dating back to 2007, with a significant increase to coverage starting in 2012. The data available in Data Monster begins in 2012.
Cadence 
LinkUp’s data is updated every 24-48 hours based on the complexity of a company scrape.
Themes Covered 
● Analyze sum totals of monthly unique active, new, and deleted openings  
● Identify locations with high workforce demand within specific industries and companies  
● Compare job counts by company, state, and industry  
● Use analytics on duration to draw insights about turnover and churn  
● Measure macro U.S. job openings from employers with the most job openings
Granularity of Data 
LinkUp’s Data Dictionary for Job Records and Company Records include the following components by type:
 
Job Records:
  • Unique hash
  • Title
  • Company ID
  • Company Name
  • City
  • Region/State
  • Zip Code
  • Country
  • Created Date
  • Last Checked Date
  • Updated Date
  • Deleted Date
  • SOC | O*NET Code
  • Full-text Description
  • URL
Company Records: 
  • Unique Hash
  • Company ID
  • Company Name
  • Homepage URL
  • Legal Entity ID
  • PermID
  • Ticker
  • NAICS Code
Sectors / Companies 
LinkUp’s dataset covers all companies, all sectors, and all job types and appends the North American Industry Classification System (NAICS) to all companies. The dataset includes 30,000 companies globally, including all eligible companies in the major U.S. exchanges as well as private companies. 
Additionally, LinkUp applies Standard Occupational Classification (SOC) codes and the Occupational Information Network (O*NET) system to all current and historical job openings in 
its dataset. The SOC | O*NET system features over 1,000 standardized occupational categories with detailed descriptions.
Datasets
Energy Stocks Daily Jobs Statistics
Published:  June 2020
Date Range:  Wednesday, 01 August 2007 - Tuesday, 16 June 2020
Source:  LinkUp
NAICS Industries Daily Jobs Statistics
Published:  June 2020
Date Range:  Saturday, 16 March 2019 - Monday, 08 June 2020
Source:  LinkUp
Real Estate Stocks Daily Jobs Statistics
Published:  June 2020
Date Range:  Monday, 01 October 2007 - Tuesday, 02 June 2020
Source:  LinkUp