Releasesby GlyphImproved fingerprint validation and device-memory alignment
Headless Browser now offers more realistic browser fingerprints and continues to align device-memory values with the rest of the emulated fingerprint to lower detection risk for all users. This change applies automatically to all Headless Browser sessions.
Also shipped Jul 16, 2026Oxylabs in July 2026 →
DCM Projects: New capabilities (Preview)
DCM Projects now supports the following capabilities in preview: For more information, see Supported object types in DCM Projects and Deploy and manage DCM Projects .
VOLATILE scalar UDFs are supported with dynamic table incremental refresh (General availability)
VOLATILE scalar user-defined functions (UDFs) are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. This applies to scalar UDFs written in Python, Java, Scala, JavaScript, and SQL. For incremental refresh, VOLATILE UDFs are supported only in the SELECT clause.
Scala and Java UDFs in Unity Catalog are now generally available
Register Scala and Java user-defined functions (UDFs) in Unity Catalog and reuse them across notebooks, jobs, and SQL warehouses with Unity Catalog governance. Reuse existing JVM logic and get better performance than Python UDFs on all compute, including serverless. See Scala and Java user-defined functions (UDFs) in Unity Catalog .
MLflow trace storage in Unity Catalog is now generally available
MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI...
Agentic code converter is in Beta
The agentic code converter is in Beta . Use it to convert legacy SQL dialects, such as T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata, to ANSI SQL in migration projects in your workspace.
Google Gemini 3 Pro is retired
Google Gemini 3 Pro is retired. Gemini 3.1 Pro is the recommended replacement. See Deprecated and retired models for migration guidance.
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More accurate Walmart e-commerce pricing
Parsed output from Walmart e-commerce sources now returns pricing data more reliably and consistently. If you're tracking competitor prices or monitoring product catalogs, you'll get cleaner numbers automatically with new requests using "parse": true.
Oxylabs Agent Skills
Oxylabs now offers official Agent Skills – structured skill files that teach AI agents and coding assistants work with Oxylabs products with significantly more accurate code and fewer hallucinations.
Citation retries for ChatGPT web search
ChatGPT source requests with search set to true now retry citation extraction automatically, roughly doubling citation coverage in the parsed citations field. The overall request success rate is unchanged, and no payload changes are needed for requests already using search: true.
Batch requests for LLM targets
LLM sources now support up to 5,000 prompts within a single batch request for chatgpt, gemini, and perplexity sources. Every prompt runs as its own job, so you get one job ID back per prompt. Learn more about batch requests here.
Improved success rates on hard-to-reach targets
We have rolled out improvements to how requests are handled on sites using CAPTCHA. Success rates on these targets should improve, particularly for jobs that previously saw elevated failure or retry rates. Learn more in our documentation.
Structured Google Scholar results
Google Scholar is now a dedicated parsed source in Web Scraper API. Set source to google_scholar and parse to true to receive parsed JSON directly.
Custom parser for Home Depot data
A dedicated parser for Home Depot product pages is now available through the universal scraping source. Enable parsing on your request to receive structured product data (such as title, price, availability, and specifications) instead of raw HTML.
Custom browser instructions for LLM sources
LLM sources now support custom browser instructions, allowing you to define actions (e.g., clicks, scrolls, waits) to control page behavior before content is extracted.