Ecommerce Ozon Keyword Back Search

Seerfar Ozon Keyword Back-Search

This skill reverse-looks-up Ozon search keywords by a list of product SKU IDs in the Seerfar analytics database: pass up to 20 SKUs (your own listing or a competitor's) and it returns the search terms those products appear under — organic and/or ad — each enriched with a full market profile (search volume, 30-day growth, product/seller/competitor counts, average price, conversion concentration, top products, plus per-term organic/ad channel, natural rank, exposure, and conversion in the dimension object). It is the starting point for Ozon keyword reverse lookup, listing-title optimization, and competitor traffic-word discovery.

Core Concepts

SKU-driven, not keyword-driven: unlike keyword mining (expand from a seed term) or market keyword search (browse the whole market), this endpoint takes skuIds and returns the search terms those specific products rank for. The direction is product → keywords (reverse).

hasVariant is required: every request must declare whether to exclude variants — 0 keep variants, 1 exclude variants. Pick 1 when you want de-duplicated keyword coverage for a parent listing.

Natural vs ad terms: type filters the search-term channel — ["0"] organic (organic search terms) only, ["1"] ad (ad search terms) only; omit to get both. Combine with the naturalRank / adRank range filters to qualify positioning.

Back-search metrics live in dimension: each returned term carries a dimension object with the reverse-lookup-specific metrics — type (0 organic / 1 ad), naturalRank (the SKU's natural rank for that term), exposure (exposure share, 0–1), conversion (conversion rate, 0–1), and x (opaque position indicator). The input filters type / naturalRank / adRank / exposure / conversion filter on these same per-term values. Note: relevancy is defined in the schema but is not returned by this endpoint.

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 includeKeywords / excludeKeywords are matched — 0 exact, 1 fuzzy.

Parameters

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

Calling the Tool

• API Endpoint: /seerfar/ozon/keywordBackSearch (full parameters/responses/error codes in references/api.md)
• Python Script: python scripts/ozon_keyword_back_search.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-back-search-<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. Reverse-lookup a single SKU's traffic keywords (sort by search volume)

{"skuIds": [4380710124], "hasVariant": 0, "page": {"page": 1, "pageSize": 10, "orders": [{"field": "searchVolume", "direction": "DESC"}]}}

2. Organic terms where the SKU ranks near the top

{"skuIds": [4380710124], "hasVariant": 1, "type": ["0"], "naturalRank": {"max": 10}, "page": {"page": 1, "pageSize": 20, "orders": [{"field": "searchVolume", "direction": "DESC"}]}}

3. Ad search words only, with an ad-rank floor

{"skuIds": [4380710124], "hasVariant": 0, "type": ["1"], "adRank": {"max": 50}, "page": {"page": 1, "pageSize": 20, "orders": [{"field": "searchVolume", "direction": "DESC"}]}}

4. Narrow with include / exclude lists

{"skuIds": [4380710124], "hasVariant": 0, "page": {"page": 1, "pageSize": 20}, "includeKeywords": ["платье"], "excludeKeywords": ["ремень"], "matchType": 1}

How to Build Queries

1. Always lead with skuIds + hasVariant: both are required and define the reverse-lookup target. Use real Ozon SKU IDs (the same IDs returned by Seerfar Ozon product / shop / category skills).
2. Lead with page.orders: sort by the metric you care about (searchVolume DESC for traffic weight, sellers ASC for low competition, count30GrowthRate DESC for rising terms).
3. Split organic vs ad with type: pass ["0"] or ["1"] to focus a listing-optimization pass (organic) or an ads pass (ad), then bound naturalRank / adRank to qualify positioning — these filter on the values surfaced in each row's dimension.
4. Use includeKeywords / excludeKeywords to steer: force in must-have modifiers and strip noise without running a second query.

Display Rules

1. Present data only: show reverse-looked-up 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 dimension.naturalRank and dimension.type (organic/ad) to convey how the SKU ranks for each term.
3. Russian keywords: preserve the original query; the queryCn field provides a Chinese translation when available.
4. Channel tag: when type is omitted and both organic and ad rows are present, show dimension.type (0 organic / 1 ad) and dimension.naturalRank 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 SKU list or filters.

Important Limitations

• skuIds + hasVariant + page required: a payload missing any of these is rejected.
• skuIds capped at 20: pass more than 20 and the request is rejected or truncated.
• No keyword seed: this endpoint has no keyword parameter — it is reverse (SKU → keywords), not expansion (keyword → keywords). Use the keyword mining skill to expand from a seed.
• No searchDate / categories input: only historyDate (historical month) is accepted; there is no category filter. Use the market keyword search skill for month- or category-scoped browsing.
• Nested fields: products[*] (Top Products) and dimension (per-term back-search metrics: type, naturalRank, exposure, conversion, x) are structured and decision-useful — see references/api.md for sub-fields. categoryInfos is defined in the schema/columns but is not returned in data[*] on this endpoint (same as the keyword-mining sibling; the market-keyword-search sibling does return it — don't assume parity). relevancy is likewise defined in the schema but not returned.

User Expression & Scenario Quick Reference

Applicable — SKU-driven Ozon keyword reverse lookup:

Not applicable — Needs beyond SKU-driven reverse lookup:

• Browse/rank the whole market's hot keywords (no SKU) → use the Seerfar Ozon market keyword search skill.
• Expand outward from a seed keyword → use the Seerfar Ozon keyword mining skill.
• A specific SKU's price/sales/stock → use a product-level Seerfar Ozon data source.
• A specific seller's catalog → use the Seerfar Ozon shop search skill.
• Category-tree browsing → use the Seerfar Ozon category search skill.

Boundary judgment: if the user has a product/SKU (own or competitor) and wants the search terms it ranks for, start here. If they want to browse the market (no SKU) or expand from a seed keyword, route to the market keyword search or keyword mining skill respectively.