Release Notes

We've improved how pricing fields are extracted for Walmart e-commerce sources. Prices now appear more consistently in parsed responses across product pages and search result types. More reliable values will appear automatically in new requests, with no manual work from your end.

Headless Browser is now refined to build and check its fingerprints, so emulated sessions look more like real devices. We've made its browser fingerprints more realistic and consistent, so your sessions get interrupted less often and more of your requests get through – all automatically, with nothing to set up.

Connect your AI coding assistant to Oxylabs using plain English by adding our Agent Skills. Tools like Claude, Cursor, and GitHub Copilot pick the right Oxylabs product and handle the technical details, so you can skip the docs and spend your time building.

You can now retry ChatGPT responses that use web search by setting the search to true – without any payload charges or affecting the success rate, allowing you to get more complete, traceable sourcing behind each answer, so there's less need to re-run prompts to fill in missing references.

You can now send up to 5,000 prompts to popular LLM targets (e..g., ChatGPT, Gemini, and Perplexity) in a single batch request, instead of submitting them one at a time. This takes the busywork out of high-volume LLM data collection, saving time on large jobs.

You can now sign in to the Oxylabs dashboard with Microsoft Entra ID (formerly Azure AD), joining Google and Okta as supported SSO options. For teams running on Microsoft, that means logging in with the same identity you already use for Outlook, Teams, and SharePoint – no extra credentials to set up or manage.