Amz Asin Data Tracker
by @mguozhen
Amazon ASIN visual data collection and monitoring agent. Zero-code collection of Amazon ASIN and competitor data, supports scheduled tasks, real-time alerts,...
clawhub install amz-asin-data-trackerπ About This Skill
name: amz-asin-data-tracker description: "Amazon ASIN visual data collection and monitoring agent. Zero-code collection of Amazon ASIN and competitor data, supports scheduled tasks, real-time alerts, and multi-format export. Triggers: asin data tracker, amazon data collection, asin monitor, competitor data, amazon scraper, asin tracking, real-time alert, amazon export, asin collector, product monitoring, amazon surveillance, data export" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amz-asin-data-tracker
Amazon ASIN Data Tracker
Zero-code Amazon ASIN and competitor data collection with scheduled monitoring, real-time alerts, and multi-format export β the essential tool for Amazon sellers.
Paste an ASIN or product URL. The agent collects key metrics, sets up monitoring schedules, and alerts you to significant changes.
Commands
track add # add ASIN to monitoring list
track snapshot # capture current data for all tracked ASINs
track alert # set alert conditions (price drop %, BSR change)
track schedule # configure monitoring schedule (daily/weekly)
track export # export data as CSV/JSON/Markdown table
track compare # side-by-side ASIN comparison
track history # show full history for an ASIN
track report # generate comprehensive monitoring report
track save # save all tracking data to workspace
What Data to Provide
Data Collection Framework
Core Metrics Tracked Per ASIN
| Metric | Collection Method | Alert Threshold | |--------|------------------|-----------------| | Price | Page data / paste | Β±10% change | | BSR | Page data / paste | Β±500 ranks | | Review count | Page data / paste | +20 new reviews | | Star rating | Page data / paste | Drop below 4.0 | | Seller count | Page data / paste | New sellers entering | | Image count | Manual observation | New images added | | Variation count | Manual observation | New variations |
Scheduled Monitoring Cadences
Daily monitoring (high-priority ASINs):
Weekly monitoring (standard watchlist):
Monthly monitoring (market overview):
Alert Conditions
PRICE DROP ALERT: Price falls >10% from baseline
BSR SPIKE ALERT: BSR improves >500 ranks in 7 days
REVIEW BOMB ALERT: >10 new 1-star reviews in 48 hours
REVIEW SURGE ALERT: >30 new reviews in 7 days (possible manipulation)
LISTING CHANGE ALERT: Title or main image changed
SELLER ALERT: New seller with <100 feedback enters Buy Box
STOCK ALERT: "Only X left in stock" message appears
Export Formats
CSV Export
ASIN, Title, Price, BSR, Reviews, Rating, Date, Category
B08XYZ123, "Product Name", $29.99, 1234, 456, 4.3, 2024-01-15, Kitchen
Markdown Table
| ASIN | Price | BSR | Reviews | Rating | Updated |
|------|-------|-----|---------|--------|---------|
| B08X | $29.99 | 1,234 | 456 | β4.3 | Jan 15 |
JSON Export
{
"asin": "B08XYZ123",
"snapshots": [
{"date": "2024-01-15", "price": 29.99, "bsr": 1234, "reviews": 456}
]
}
Workspace Structure
Creates ~/asin-tracker/ containing:
watchlist.md β all tracked ASINs with settingssnapshots/ β date-stamped metric files per ASINalerts/ β triggered alert logexports/ β generated export filesreports/ β monitoring summary reportsAnalysis Rules
1. Require at least 2 data points before declaring a trend 2. Distinguish between organic and promotional BSR movements 3. Flag BSR improvements during Prime Day, Black Friday, holiday seasons as potentially seasonal 4. Never declare a price drop permanent until it holds for 7+ days 5. Cross-reference review velocity with known promotion dates before flagging manipulation 6. Always timestamp every data point β tracking is only useful with temporal context
Output Format
Every report outputs: 1. Current Snapshot Table β all tracked ASINs with latest metrics 2. Changes Since Last Check β delta table showing what moved and by how much 3. Active Alerts β list of triggered conditions with severity (High/Medium/Low) 4. Trend Summary β 30-day direction for each key metric 5. Recommended Actions β prioritized response list based on detected changes