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Helps you find Open Access copies of paywalled scientific articles, by utilizing Unpaywall and other services Open Access Helper: Effortless Access to Scholarly Articles Stop Hitting Paywalls You find the perfect paper. Then you see a paywall. Open Access Helper solves this problem. It automatically finds a free, legal version of the article instead. It uses data from Unpaywall and other trusted sources to find open access copies of scientific papers. How It Works When you open a research article, Open Access Helper checks it automatically. It looks for the article's DOI (a unique code for the paper) and searches for a free version. If a free version exists, a badge appears. Just click the badge to open the article. Before you click, you can hover over the badge to see what type of version it is: * Published Version – the final, official version * Accepted Version – the version accepted after peer review, before final formatting * Submitted Version – the first version submitted by the authors Easy Access Through Your University Does your university use EZProxy or OpenAthens? Set your university's domain one time (for example: harvard.edu). After that, one click connects you to your university library, even when you're off campus. Safe and Private All links go to official, legal copies of the articles. We do not collect personal data. We only collect anonymous usage statistics, to help us improve the extension. 👉 Install Open Access Helper today and spend less time searching, more time reading.
Aug 21, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.