📈Analytics
The Analytics page shows trends and breakdowns across your scraped listings.
Analytics needs scraped listings. Empty charts usually mean no data in the selected time range.
Quick ways to use Analytics
Validate scrape coverage and cadence.
Spot supply by make, year, and transmission.
Find active price bands for your searches.
Compare short-term vs. long-term changes.
If charts look “wrong”, check your time range first.
Accessing Analytics
Screenshot placeholder: Dashboard top navigation with Analytics highlighted.
Also capture the browser URL bar showing http://localhost:3000.
Overview Statistics
The top section shows high-level metrics for the selected time range.
Total Statistics
Total Listings: Complete count of all scraped listings
Vehicles: Number of vehicle listings
Items: Number of general item listings
Average Price: Mean of listings with a numeric price
Price brackets and pricing rules are configurable. Analytics reflects your current settings.
Screenshot placeholder: Analytics header area showing:
Total Listings / Vehicles / Items / Average Price
Any visible “time range” selector (if present near the top)
Breakdown
Vehicle vs. Item Ratio: Percentage split
Price Ranges: Distribution across your configured brackets
Time Period: Uses the selected time range filter
Vehicle Analytics
Makes Chart
Shows: Most common vehicle makes, sorted by count.
Use it for: Supply signals and catalogue planning.
Screenshot placeholder: “Makes” chart showing the top makes list.
Example:
Years Distribution
Shows: Vehicle model year counts.
Use it for: Age mix and year-based filters.
Screenshot placeholder: “Years distribution” chart.
Transmissions
Shows: Transmission mix for vehicle listings.
Use it for: Inventory availability by transmission.
Screenshot placeholder: “Transmissions” chart (pie or breakdown).
Price Ranges
Shows: Listing distribution across your configured price brackets.
Use it for: Finding “active” price bands to target.
Screenshot placeholder: “Price ranges” chart with your current brackets visible.
Example brackets (may differ in your setup)
Under $5,000
$5,000 - $10,000
$10,000 - $20,000
$20,000 - $30,000
Over $30,000
Time-Based Analysis
Listings Over Time
Shows: Listings captured over time.
Use it for: Scrape cadence and market activity changes.
Screenshot placeholder: “Listings over time” line chart. Try to capture a range with at least one visible peak/valley.
Activity Trends
Metrics Shown:
Listings added per day/week/month
Scraping frequency
Data growth over time
How to Use:
Monitor data collection progress
See growth trends
Identify inactive periods
Plan maintenance
Screenshot placeholder: “Activity trends” section (whatever cards/metrics appear here).
Category Breakdown
Vehicle vs. Item Ratio
Shows: Category split between Vehicle and Item listings.
Use it for: Detecting skewed catalogues and gaps.
Screenshot placeholder: Vehicle vs Item ratio chart.
Time Range Selection
Time range filters every stat and chart on the page.
Time ranges use your local machine time.
Available Ranges
7 Days:
Last week's data
Recent trends
Quick insights
30 Days:
Last month's data
Medium-term trends
Balanced view
90 Days:
Last quarter's data
Long-term trends
Comprehensive analysis
All Time:
Complete dataset
Full history
Maximum insights
Changing Time Range
Screenshot placeholder: Time range dropdown open, showing options (7/30/90/All Time).
Using Analytics
Identify Trends
Market Trends:
See which vehicle types are most common
Understand price distributions
Identify seasonal patterns
Track availability changes
Your Activity:
Monitor scraping frequency
See data growth over time
Identify active periods
Plan future sessions
Make Decisions
Search Strategy:
Adjust search terms based on availability
Focus on price ranges with good inventory
Target high-availability makes/models
Optimize scraping parameters
Deal Hunting:
Identify price sweet spots
Focus on common vehicle types
Understand market conditions
Time your searches effectively
Data Quality
Verify Scraping:
Check if data looks complete
Identify gaps in coverage
See if certain categories missing
Ensure good data collection
Screenshot placeholder: Example “empty state” (charts blank) for a narrow time range. Only add this if your UI shows a helpful message.
Tips
Scrape regularly. Diversify catalogues. Compare multiple time ranges. Act on stable patterns.
Related pages
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