Releasesby GlyphCustom 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.
Also shipped Jul 23, 2026Oxylabs in July 2026 →
SQL environment variable and private Git package support for dbt Projects on Snowflake
Environment variable support for dbt Projects on Snowflake is now generally available. Manage per-developer schemas, dynamic runtime values, secrets, and multiple environments in a single, Git-versioned env.yml file that Snowflake resolves before each run.
SERVICE_AGENT user type (General availability)
With this release, the SERVICE_AGENT user type is generally available. Use this user type for automated AI agents that interact with Snowflake using their own identity and privileges.
SHOW CORTEX BASE MODELS command (General availability)
With this release, we are pleased to announce the general availability of the SHOW CORTEX BASE MODELS command. Use this command to list the Cortex Base Models available in your account, along with each model’s lifecycle status, regional availability, legacy date, and end-of-life date.
C++ SDK for the Zerobus Ingest connector is now available in Beta
A C++ SDK for the Zerobus Ingest connector in Lakeflow Connect is now available in Beta. The SDK provides a high-throughput gRPC client for ingesting records directly into Unity Catalog Delta tables, with support for JSON and Protocol Buffers. See Use Zerobus Ingest .
Genie Code scheduled tasks are in Beta
You can now schedule Genie Code to run a prompt on a recurring schedule. Each run executes your prompt as a full Genie Code session and produces a continuable Genie chat with the results, so you can turn recurring analysis into an unattended background task. Create a scheduled task by asking Genie Code in chat or by filling in the create form manually.
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available (GA), powered by Apache Spark 4.2.0. For release notes, see Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning .
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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.
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.
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.
Increased prompt limit for Google AI Mode
The maximum prompt length for Google AI Mode source requests has increased from 4,000 to 8,000 characters.
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.
Improved 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.
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.