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Home > RAW > Documentation > RAW Data Documentation > Service Level Agreements for LinkUp Data
Service Level Agreements for LinkUp Data
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This Service Level Agreement ("SLA") is a component of standard operations at LinkUp. LinkUp reserves the right to amend the SLA from time to time, effective upon delivery of the revised SLA to the customer. 


Obtaining data directly from company websites generates accurate job market data. However, companies frequently change their applicant tracking systems (ATS), update formats on their career pages and we job postings are susceptible to human data entry errors. These changes can cause our systems to not recognize the changed formats on the websites, thus causing a 'break'. As a result, we have created a queue that notifies our team when a company's process has a potential break. 


Once we have obtained this data, we send this data through a process of cleansing, enhancing and connecting with additional 3rd party data. We also provide additional aggregates for customers to use for analysis. These files are made available to our customers via FTP or AWS S3.


Service Level Agreements - Coverage

LinkUp has developed a framework to identify levels of priority for employers where we obtain job data. We have grouped them into tiers and give the highest priority to our tier 1 employers to fix the scrapes. Generally, public companies are flagged and fixed within 24 hours or without escalation. Additionally, clients can contact us about a broken scrape, and we'll get to it right away. Otherwise, scrapes are fixed in the order they were flagged. Our index contains over 60,000 employers and we actively scrape approximately 25k every 24 to 48 hours. 



Tier 1 Tier 2 Tier 3

This level is currently at 100% of attainable coverage and includes employers that fit the following criteria:


  • S&P 500 employers and their subsidiaries
  • Russell 1000
  • London Stock Exchange (LSE)
  • Toronto Stock Exchange (TSX)
  • Top 50 employers from western European countries


This tier includes many changing constituents. It is reviewed quarterly and includes employers that fit the following criteria:


  • Remaining companies on NYSE and NASDAQ not included in tier 1
  • Private companies with at least $100m funding from PE/VC **
  • Publicly traded companies in Japan, China, UK and Canada**


** While many of these companies are already included in our index, we are increasing our coverage in this tier. 

This tier is yet to be defined, but includes many privately held companies and will focus on emerging markets. 




For Tier 1, we are providing our highest level of service. We do our best to provide service even more quickly than these guidelines.


  • Scrapes run every 24 hours. 
  • Scrapes are fixed within 2 business days. 
  • Service tickets related to these companies are responded to within 1 business day.


S&P 500 companies are reviewed weekly for any changes, the remaining lists are reviewed every 4 months, as we don't expect much movement in and out of those lists.


For Tier 2, any issues are added to the company queue and addressed promptly as soon as any tier 1 issues are resolved. 


Also, if there's an employer we are not currently scraping, please submit a request


Service Level Agreement - Data Delivery 

Clients are able to access our data via FTP (file transfer protocol) or AWS S3 (Amazon web services). We have a large amount of processing that occurs on a daily basis. Each day at midnight UTC, we generate files containing all of the new jobs and updates to existing job records that occurred that day. 


Files are generated each morning and are available before 9 AM Central Time (15:00 UTC / GMT During US Standard Time and UTC / GMT 14:00 During US Daylight Saving Time) Monthly full Raw job records and full descriptions may take longer.


Our monthly archive files are slated to be delivered by the 15th of the following month. 


The archive job description file is about 300 GB uncompressed and the job records file is 42 GB uncompressed. Zipped, those files are 100 GB and 17 GB, respectively.

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