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LexisNexis REST API

Learn how to request access to the LexisNexis REST API at NYU.

What is Nexis Uni?

Nexis Uni, formerly known as LexisNexis Academic, is the default academic portal for accessing LexisNexis news and related content. While it is not a data product, it is useful for preparing to query the REST API.

Nexis Uni allows full text downloads of up to 250 documents and metadata downloads of up to 1,000 documents. If that meets your needs, you do not need to request access to the LexisNexis REST API.

NYU's subscription to the Nexis Uni product does not support text mining. Text mining may only be performed via the REST API. Do not attempt to scrape or crawl Nexis Uni, as it is a violation of our user agreement and will result in all of NYU's access being shut off.

Keep Track of Your Work

Document what you've found for steps 1 and 2. You will need this information for when your request access to the API. 

Step 1: Confirming Publication Coverage in Nexis Uni

  • To view the most accurate list of publications you can mine with the REST API, enter the Nexis Uni interface and browse "All Sources" under the "Menu". Click the three vertical dots and then "Get more information" to view a publication's date coverage. (Note that Nexis Uni/LexisNexis does not necessarily cover all the dates of a publication's run.)
  • List of Nexis Uni Publications with Date Coverage (.XLSX) - Generated on 10 Nov 2020, this spreadsheet is intended to serve as a quick reference.
    • Keep in mind that since Nexis Uni is continually updated by LexisNexis, publication coverage and date coverage may have changed in the interim (with titles jumping on or dropping off, and date coverage expanding or contracting). As a result, always use the Nexis Uni interface as the final word on our current access level.
    • Only news content is accessible via the API. Non-news sources, while they appear in both the interface and this publication list, are not mineable.

Step 2: Previewing Results in Nexis Uni

As advised by LexisNexis staff, researchers preparing to use the API should construct and experiment with multiple searches in the Nexis Uni interface to begin to scope, refine, and preview results. (See also our sample queries.)