Jungle Scout — Keyword by Keyword
This skill expands a seed keyword into a list of related keywords with search volume, trends, PPC bids, ranking difficulty, and other competitive metrics via the Jungle Scout data source, covering 10 Amazon marketplaces.
Core Concepts
The Jungle Scout Keyword by Keyword tool is one of the core tools for Amazon keyword research. Starting from a seed keyword, it mines a large number of related keywords and their competitive metrics. Its main application scenarios include:
- Keyword Expansion/Discovery: Enter a core keyword to obtain hundreds of related keywords and expand your listing keyword library
- Long-tail Keyword Mining: Filter long-tail keywords with 3+ words using to discover low-competition, high-conversion opportunities
- PPC Bid Research: View exact/broad match PPC bids and Sponsored Brand ad bids to plan advertising budgets
- Competition Assessment: Judge keyword ranking difficulty via and
- Trend Analysis: Check monthly and quarterly trend percentage changes to identify growing keywords
Data Fields
Output Fields (keywordInfoList)
| Field | API Name | Description | Example |
|---|
| Keyword | name | Keyword name | yoga mat thick |
| Marketplace | country | Market code | us |
| Exact Monthly Search Volume | monthlySearchVolumeExact | Average monthly exact-match search volume | 45000 |
| Broad Monthly Search Volume | monthlySearchVolumeBroad | Average monthly broad-match search volume | 120000 |
| Monthly Trend | monthlyTrend | Percentage change in monthly search volume compared to the previous period | 15.3 |
| Quarterly Trend | quarterlyTrend | Percentage change in quarterly search volume compared to the previous period | -5.2 |
| Dominant Category | dominantCategory | The category with the highest proportion in search results | Sports & Outdoors |
| Relevancy Score | relevancyScore | Relevancy score with the seed keyword | 856 |
| Ease of Ranking Score | easeOfRankingScore | Ranking ease score (higher means easier) | 3 |
| Organic Product Count | organicProductCount | Number of organically ranked products in search results | 342 |
| Sponsored Product Count | sponsoredProductCount | Number of sponsored products in search results | 28 |
| PPC Exact Bid | ppcBidExact | Recommended exact-match PPC bid (USD) | 1.25 |
| PPC Broad Bid | ppcBidBroad | Recommended broad-match PPC bid (USD) | 0.89 |
| Sponsored Brand Ad Bid | spBrandAdBid | Recommended Sponsored Brand ad bid (USD) | 2.50 |
| Recommended Promotions | recommendedPromotions | Number of recommended promotional giveaways | 150 |
| Token Cost | costToken | Number of tokens consumed for this call | 1 |
Supported Marketplaces
10 Amazon marketplaces:
(default),
,
,
,
,
,
,
,
,
. When the user does not specify a marketplace, use
.
| Marketplace | marketplace value | Description |
|---|
| United States | us | Amazon.com |
| United Kingdom | uk | Amazon.co.uk |
| Germany | de | Amazon.de |
| India | in | Amazon.in |
| Canada | ca | Amazon.ca |
| France | fr | Amazon.fr |
| Italy | it | Amazon.it |
| Spain | es | Amazon.es |
| Mexico | mx | Amazon.com.mx |
| Japan | jp | Amazon.co.jp |
API Usage
This tool calls the LinkFox tool gateway API. See
for calling conventions, request parameters, and response structure. You can also execute
scripts/junglescout_keyword_by_keyword.py
directly to run queries.
How to Build Queries
Required parameters:
,
(a single seed keyword string).
Principles for Building API Calls
- Marketplace Mapping: When users say "US marketplace" → , "Japan marketplace" → , "Germany marketplace" → ; default to if not specified
- Seed Keyword: Pass the user-provided keyword as-is (preferably in lowercase English); only a single keyword is supported
- Result Count: The default number of returned results is limited; set if users need more results
- Sorting Option: Default to descending order of exact search volume (
-monthly_search_volume_exact
); switch the sorting field based on user intent
- Filtering: Make full use of parameters to narrow down the result range and avoid returning irrelevant low-quality keywords
Common Query Scenarios
1. Expand Seed Keyword — Get Related Keyword List
json
{
"marketplace": "us",
"searchTerms": "yoga mat"
}
2. Mine Long-tail Keywords (3+ Words)
json
{
"marketplace": "us",
"searchTerms": "yoga mat",
"minWordCount": 3,
"needCount": 50
}
3. Discover Low-competition Keywords
json
{
"marketplace": "us",
"searchTerms": "yoga mat",
"maxOrganicProductCount": 200,
"minMonthlySearchVolumeExact": 1000,
"sort": "-ease_of_ranking_score"
}
4. Filter High-search-volume Keywords
json
{
"marketplace": "us",
"searchTerms": "yoga mat",
"minMonthlySearchVolumeExact": 10000,
"sort": "-monthly_search_volume_exact",
"needCount": 30
}
5. PPC Bid Research — Sort by Broad Bid
json
{
"marketplace": "us",
"searchTerms": "yoga mat",
"minMonthlySearchVolumeExact": 500,
"sort": "ppc_bid_broad",
"needCount": 30
}
6. High Broad-search-volume Keywords on German Marketplace
json
{
"marketplace": "de",
"searchTerms": "yogamatte",
"minMonthlySearchVolumeBroad": 5000,
"sort": "-monthly_search_volume_broad"
}
Display Rules
- Table Priority: Display the keyword list in a table, with core columns including: Keyword, Exact Search Volume, Broad Search Volume, Monthly Trend, PPC Exact Bid, Ease of Ranking Score
- Column Customization: Determine the displayed columns based on user intent - focus on bid columns for PPC research scenarios, and focus on search volume and trends for keyword expansion scenarios
- Trend Labeling: Mark positive monthly and quarterly trends with an upward arrow ↑, and negative trends with a downward arrow ↓
- Ranking Difficulty Interpretation: 1-3 means difficult, 4-6 means moderate, 7-10 means easy
- Data Insights: Provide a brief summary after the table, such as which category high-search-volume keywords are concentrated in, the competitive advantages of long-tail keywords, etc.
- Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters
Important Limitations
- Single Keyword per Call: only accepts one seed keyword; multiple keywords need to be split into separate calls
- Data Cycle: Search volume is an estimated monthly average, not real-time data
- Marketplace Limitation: Only covers 10 Amazon marketplaces; does not include Australia, Netherlands, etc.
- Fixed Sorting Fields: Only supports predefined sorting fields; custom combined sorting is not supported
User Expression & Scenario Quick Reference
Applicable — Keyword Expansion and Competition Analysis:
| User Says | Scenario |
|---|
| "Help me expand this keyword" | Seed Keyword Expansion |
| "What related keywords are there for this term?" | Related Keyword Mining |
| "Find some long-tail keywords" | Long-tail Keyword Filtering (minWordCount ≥ 3) |
| "What are the low-competition keywords?" | Low-competition Keyword (Ranking Difficulty + Product Count Filtering) |
| "What's the PPC bid for this keyword?" | PPC Bid Data Query |
| "Related keywords with high search volume" | High-search-volume Keyword Filtering |
| "What related keywords are available on the German marketplace?" | Non-US Marketplace Keyword Expansion |
| "Help me do keyword research" | Comprehensive Keyword Research |
Not Applicable — Beyond the Scope of Keyword Expansion:
- Historical search volume trends for keywords (requires the keyword-history tool)
- ABA search term ranking (requires the ABA tool)
- Product search or listing analysis
- Keyword data for non-Amazon platforms
- ASIN reverse keyword lookup
Boundary Judgment: When users mention "keyword", "keyword expansion", or "keyword research", if they want to expand a seed keyword into a list of related keywords with metrics, this skill applies. If they want to view the historical search volume trend of a single keyword over time, use the keyword-history skill instead.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in
. Do not interrupt the user's flow.
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