Yandex Market Simplifies Data Management With Updated API

Yandex Market has rolled out updates to its Market API, making data transfer and management more user-friendly. The new features aim to streamline workflows for merchants and developers while adding functionality for better product promotion.

Key Updates

Enhanced Authorization:
A new account-linked token simplifies authorization. Tokens now come with adjustable access levels, allowing for greater control over permissions. Tokens can also be created with just a few clicks in the user’s account.

Improved Product Card Management:
Merchants can now easily add, modify, or delete product details via the API. Customizing product images has also been streamlined, ensuring better visual representation.

Detailed Request Logs:
The logs page now displays all API requests, including detailed information such as request bodies, responses, and parameters. Filters and search tools make it easy to find specific data, aiding in debugging or support inquiries.

Bonus Points Integration:
The updated API includes a feature to record bonus points. Merchants can use these points to promote their products, adding another layer to marketing strategies.

Background

The updates follow Yandex Market’s earlier integration of the “Catalog” and “Assortment by Stores” pages, reflecting the platform’s ongoing effort to unify and simplify its services.

With these changes, Yandex Market is providing more robust tools to its partners, enabling better management of listings and enhanced promotional capabilities.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.