linkfox-junglescout-sales-estimates

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Jungle Scout ASIN Sales Estimate Query: Returns daily estimated sales volume and the latest known price for a specified ASIN over a period on a daily basis, covering 10 marketplaces including the US, UK, Germany, Japan, etc. This skill is triggered when users mention terms such as ASIN sales estimate, ASIN daily sales, sales estimate, competitor sales monitoring, average daily sales, sales trend, product sales tracking, Jungle Scout sales data, sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales. Even if users do not explicitly mention "Jungle Scout", this skill should be triggered as long as their needs involve viewing daily sales estimate data for a specific Amazon ASIN over a period of time.

2installs

Sourcelinkfox-ai/linkfox-skills

Added on2026-05-12

NPX Install

npx skill4agent add linkfox-ai/linkfox-skills linkfox-junglescout-sales-estimates

SKILL.md Content (Chinese)

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Jungle Scout — ASIN Sales Estimates

This skill queries daily sales estimates and last known price for a given Amazon ASIN via the Jungle Scout data source, returning day-level data points over a specified date range across 10 Amazon marketplaces.

Core Concepts

The Jungle Scout ASIN Sales Estimate tool provides daily estimated sales volume and latest known price for individual ASINs across Amazon marketplaces. Sellers can query sales changes over a specified time range to:

Monitor competitor sales: Understand competitors' daily order volume and evaluate their market share
Validate product selection opportunities: Verify whether product demand is sufficient using actual sales data
Track seasonal patterns: Observe sales fluctuations of products in different months to identify peak and off-peak seasons
Evaluate pricing impact: Assist in pricing decisions by combining the relationship between price and sales changes
Track new product performance: Monitor the sales growth curve of new products after they are launched

Data Granularity: Each record represents 1 day, including the estimated number of units sold and the latest known price (USD) for that day.

Data Fields

Output Fields

Field	API Name	Description	Example
ASIN	asin	Queried ASIN	B0CXXX1234
Data ID	id	Data point identifier	sales_estimate_B0CXXX1234_20260301
Resource Type	type	Fixed value	sales_estimate_result
Parent ASIN	parentAsin	Parent ASIN (variant scenario)	B0CXXX0000
Is Parent	isParent	Whether it is a parent product	true / false
Is Variant	isVariant	Whether it is a variant product	true / false
Is Standalone	isStandalone	Whether it is a standalone product (non-variant)	true / false
Variant List	variants	Array of variant ASINs under this parent	["B0CX1", "B0CX2"]
Daily Estimates	dailyEstimates	Array of daily data	See below
Token Cost	costToken	Number of tokens consumed for this call	1

Each Object in dailyEstimates Array

Field	API Name	Description	Example
Date	date	Data date (YYYY-MM-DD)	2026-03-15
Daily Estimated Units Sold	estimatedUnitsSold	Estimated number of units sold on that day	42
Latest Known Price	lastKnownPrice	Latest known price (USD)	29.99

Supported Marketplaces

10 Amazon marketplaces:

us

(United States),

uk

(United Kingdom),

de

(Germany),

in

(India),

ca

(Canada),

fr

(France),

it

(Italy),

es

(Spain),

mx

(Mexico),

jp

(Japan). The default marketplace is us. If the user does not specify a marketplace,

us

will be used.

API Usage

This tool calls the LinkFox tool gateway API. See

references/api.md

for calling conventions, request parameters, and response structure. You can also execute

scripts/junglescout_sales_estimates.py

directly to run queries.

How to Build Queries

All four parameters are required:

marketplace

asin

startDate

endDate

Principles for Building API Calls

Marketplace Mapping: When users say "US marketplace" →
```
us
```
, "Japan marketplace" →
```
jp
```
, "Germany marketplace" →
```
de
```
; default to
```
us
```
if not specified
Date Format: Must be
```
YYYY-MM-DD
```
, e.g.,
```
2026-03-01
```
endDate Restriction:
```
endDate
```
must be earlier than the current date (cannot include today or future dates)
ASIN Format: Standard Amazon ASIN, usually starting with B0, 10 characters long
Common Time Calculations:
- "Last 30 days" → set endDate to yesterday, startDate to 30 days ago
- "Last month" → from the 1st to the last day of the previous month
- "Q3 vs Q4" → make two separate calls, querying July-September and October-December respectively

Common Query Scenarios

1. View Competitors' Sales in the Last 30 Days

json

{
  "marketplace": "us",
  "asin": "B0CXXX1234",
  "startDate": "2026-03-18",
  "endDate": "2026-04-16"
}

2. Compare Q3 and Q4 Sales Performance

Make two separate calls:

Q3:
```
startDate=2025-07-01
```
,
```
endDate=2025-09-30
```
Q4:
```
startDate=2025-10-01
```
,
```
endDate=2025-12-31
```

3. Validate Product Selection Opportunities - View Annual Product Sales

json

{
  "marketplace": "us",
  "asin": "B0CXXX5678",
  "startDate": "2025-04-01",
  "endDate": "2026-03-31"
}

4. Track New Product Launch Performance

json

{
  "marketplace": "de",
  "asin": "B0DYYY9999",
  "startDate": "2026-01-15",
  "endDate": "2026-04-15"
}

5. Monitor Sales Changes During Promotions (e.g., Prime Day)

json

{
  "marketplace": "us",
  "asin": "B0CXXX1234",
  "startDate": "2025-07-01",
  "endDate": "2025-07-21"
}

Display Rules

Line Chart Priority: It is recommended to display daily sales changes with a line chart, with the horizontal axis as the date and the vertical axis as the daily estimated sales volume; if price data is available, a second Y-axis can be overlaid to show price trends
Table Support: Provide a data table for precise reference at the same time, including columns: Date, Estimated Sales Volume, Latest Known Price
Summary Statistics: After the data, summarize key indicators - total sales volume, average daily sales volume, estimated total revenue (total sales volume × average price)
Trend Summary: Briefly summarize the trend direction (rising/falling/stable/periodic fluctuations), and mark the dates of sales peaks and troughs
Error Handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters (e.g., endDate cannot include today or future dates)

Important Limitations

endDate Cannot Include Today:
```
endDate
```
must be earlier than the current date; sales data for today or the future cannot be queried
Single ASIN per Call: Only one ASIN can be queried per call; comparing multiple ASINs requires separate calls
All Parameters Required:
```
marketplace
```
,
```
asin
```
,
```
startDate
```
,
```
endDate
```
are all mandatory
Price in USD:
```
lastKnownPrice
```
is in USD, not local currency

User Expression & Scenario Quick Reference

Applicable Scenarios - ASIN Sales Estimation and Sales Trend Analysis:

User Says	Scenario
"How many units does this ASIN sell per day?"	Query recent daily sales estimates
"How have competitors been selling recently?"	Monitor competitors' sales in the last 30 days
"Does this product have seasonal trends?"	Determine seasonal patterns using annual sales data
"Help me check the sales trend of this product"	Sales trend over a specified time period
"How were sales during the Q4 peak season?"	Query sales for a specific quarter
"Is this product worth selling?"	Validate product selection opportunities through historical sales data
"How many units were sold during the promotion?"	Monitor sales during promotional events

Not Applicable Scenarios - Beyond the Scope of ASIN Sales Estimation:

Keyword search volume (requires keyword historical search volume tool)
BSR ranking history (requires BSR tracking tool)
Category overall sales/market size
Sales data from non-Amazon platforms
Real-time/current sales (data has a lag, does not include today)

Boundary Judgment: When users mention "sales volume", "daily sales", or "how many units sold", if they want to view daily estimated sales for a specific ASIN over a time range, this skill applies. If they want keyword search volume, category rankings, or real-time live sales, it does not apply.

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

references/api.md

. Do not interrupt the user's flow.

For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.

linkfox-junglescout-sales-estimates

NPX Install

Tags

SKILL.md Content (Chinese)

Jungle Scout — ASIN Sales Estimates

Core Concepts

Data Fields

Output Fields

Each Object in dailyEstimates Array

Supported Marketplaces

API Usage

How to Build Queries

Principles for Building API Calls

Common Query Scenarios

Display Rules

Important Limitations

User Expression & Scenario Quick Reference