Ecommerce Ozon Keyword Mining

Seerfar Ozon Keyword Mining

This skill mines Ozon marketplace keywords around a seed keyword in the Seerfar analytics database and filters the discovered terms by rich performance metrics — search volume, 30-day growth, product/seller/competitor counts, average price, relevancy, title density, cart-add conversion, and more. Each mined keyword carries a full market profile (market space, return/cancellation rate, top products, Chinese translation), making it the starting point for Ozon keyword expansion, long-tail discovery, and seed-term opportunity analysis.

Core Concepts

Seed-driven, not market-browse: unlike a market keyword search, this endpoint requires a keyword (the seed) and returns terms related to that seed, each enriched with market metrics. You expand outward from a term you already have in mind.

Relevancy is the mining signal: relevancy scores how closely a mined term relates to the seed (the seed term itself returns at relevancy: 100, related terms rank lower); titleDensity reflects how densely the term appears in product titles. Both are populated on every row — sort by relevancy DESC to keep expansions on-topic.

Platform coverage: each keyword record carries a platform field (0 = Ozon, 1 = Wildberries). The dataset is Ozon-centric; Wildberries rows appear where available. There is no input to restrict the platform — filter client-side if needed.

Match mode: matchType controls how the seed keyword (and includeKeywords) are matched — 0 exact, 1 fuzzy. Choose fuzzy to broaden the expansion, exact to stay tight.

No date or category selectors: this endpoint does not accept searchDate or categories. If you need month-over-month or category-scoped browsing, use the market keyword search skill instead.

Parameters

All range filters are {min, max} objects; supply either or both bounds. keyword and page are both required.

Calling the Tool

• API Endpoint: /seerfar/ozon/keywordMining (full parameters/responses/error codes in references/api.md)
• Python Script: python scripts/ozon_keyword_mining.py '<JSON params>' [--inline]
• Cost constraint: This tool consumes credits. Within the same session and same parameter combination, it defaults to a single call with a 24-hour local cache. Do not automatically retry with different keywords, pagination, or parameters on failure/empty results. Inform the user of additional credit consumption before continuing retrieval.

Output strategy (script default behavior):

• Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/ecommerce-ozon-keyword-mining-<timestamp>.json (<cwd> is the working directory when the script executes, which in Claude Code is the current project directory; <session> is taken from the SESSION_ID environment variable, automatically grouped by user task; do not write to /tmp; error if the current directory is not writable)
• Response body <= 8 KB: write to disk then print full JSON to stdout
• Response body > 8 KB: write to disk then print only a summary to stdout (top-level fields, common counts like total/costToken, length of the largest list field + first 3 samples)
• Add --inline to force full output to stdout (still writes to disk)

Reading data: Check the summary first to determine if it is sufficient. When specific fields are needed, use jq or ConvertFrom-Json to extract from the saved JSON file as needed, avoiding loading the entire JSON into context.

Authentication & Credits

If you encounter authentication or credit issues:

Error conditions

• API Key not configured: The NEXSCOPE_API_KEY environment variable is not set.
• HTTP 401 or 402 status code
• Insufficient credits/balance: Response message indicates credit balance exhausted, quota exceeded, subscription expired, or recharge required.

Resolution steps

1. Set the NEXSCOPE_API_KEY environment variable with a valid API key.
2. If credits are insufficient, visit https://www.nexscope.ai/pricing?co-from=skillNS to top up your balance.
3. For onboarding and setup guidance, refer to https://www.nexscope.ai/help/skills-external-access?co-from=skillNS

Usage Examples

1. Expand around a seed term (sort by search volume)

{"keyword": "платье", "page": {"page": 1, "pageSize": 10, "orders": [{"field": "searchVolume", "direction": "DESC"}]}}

2. Blue-ocean expansions — high volume, few sellers

{"keyword": "телефон", "page": {"page": 1, "pageSize": 20, "orders": [{"field": "searchVolume", "direction": "DESC"}]}, "searchVolume": {"min": 10000}, "sellers": {"max": 50}}

3. Keep expansions on-topic with relevancy + title density

{"keyword": "наушники", "page": {"page": 1, "pageSize": 20, "orders": [{"field": "relevancy", "direction": "DESC"}]}, "relevancy": {"min": 50}}

4. Narrow with include / exclude lists

{"keyword": "часы", "page": {"page": 1, "pageSize": 20}, "includeKeywords": ["женские"], "excludeKeywords": ["ремень"], "matchType": 1}

How to Build Queries

1. Always lead with the seed keyword: it is required and defines the expansion center. Pass it in Russian for Ozon.
2. Lead with page.orders: sort by the metric you care about (searchVolume DESC for popularity, relevancy DESC for on-topic, sellers ASC for low competition).
3. Stack range filters to find opportunities: combine a high searchVolume floor with a low sellers ceiling to surface blue-ocean expansions; add relevancy / titleDensity bounds to keep them relevant to the seed.
4. Use includeKeywords / excludeKeywords to steer the expansion: force in must-have modifiers and strip noise without running a second query.

Display Rules

1. Present data only: show mined-keyword metrics in a clear table without subjective advice.
2. Lead with keyword columns: query / queryCn (Chinese translation), then searchVolume, count30GrowthRate, productCount, sellers, avgPrice; show relevancy to convey closeness to the seed (the seed term itself is 100).
3. Russian keywords: preserve the original query; the queryCn field provides a Chinese translation when available.
4. Platform tag: when both Ozon and Wildberries rows are present, show platform (0/1) so the user can distinguish them.
5. Large result sets: when total is large, show the top rows and remind the user they can persist the full response via the large-response pattern below, or page further with page.page.
6. Error handling: when code is not 200 (or errcode is not 200), explain the reason from msg / errmsg and suggest adjusting the seed keyword or filters.

Important Limitations

• keyword + page required: a payload missing either is rejected.
• No date selector: there is no searchDate; you cannot pick a data month here. Use the market keyword search skill for month-scoped data.
• No category selector: categories is not accepted as input; each returned keyword carries a categories ID array you can group or filter client-side.
• dimension / categoryInfos not returned: both are defined in the schema and appear as columns, but real data[*] rows do not populate them on this endpoint. (categoryInfos IS populated on the sibling market-keyword-search endpoint — don't assume parity.)
• Nested fields: products[*] (Top Products) is structured and decision-useful — see references/api.md for sub-fields. (categoryInfos[*] is documented there for schema completeness but is not returned on this endpoint; dimension / columns are opaque or partially populated.)

User Expression & Scenario Quick Reference

Applicable — seed-driven Ozon keyword expansion:

Not applicable — Needs beyond seed-driven keyword mining:

• Browse/rank the whole market's hot keywords without a seed → use the Seerfar Ozon market keyword search skill.
• A specific SKU's price/sales/stock → use a product-level Seerfar Ozon data source.
• A specific seller's catalog → use a seller/shop-level Seerfar Ozon data source.
• Month-over-month or category-scoped keyword browsing → use the market keyword search skill (supports searchDate / categories).

Boundary judgment: if the user wants to expand outward from a seed term and rank the related terms by market metrics, start here. If they want to browse the whole market of keywords (no seed) or scope by month/category, route to the market keyword search skill.