Skip to main content
Quick Access:
  • View project status in the Project View header
  • Check step statistics in the Scraping Flow tab
  • Monitor extracted items in the Project Items tab
  • Use test panels to validate step functionality
This guide covers how to monitor and track your project’s performance, including item status, validation statistics, and overall project health indicators.

Project Status Monitoring

Project Status Toggle

The Project Status Toggle in the header allows you to control project execution:
StatusDescriptionUse Case
ActiveProject is operational and executingNormal production operation
InactiveProject is disabled and will not executeTemporarily disable without deletion
Toggle project status to pause execution for maintenance or troubleshooting without losing configuration.

Project Health Indicators

Monitor these key indicators to assess project health:
  • Execution Status - Active/Inactive state
  • Last Execution Time - When the project last ran
  • Error Count - Number of failed executions
  • Success Rate - Percentage of successful runs

Step Performance Statistics

Each step displays validation statistics in its header, providing real-time performance metrics:

Validation Statistics

Steps show three key metrics:
MetricDescriptionWhat It Indicates
valid: XNumber of valid results processedSuccessful data extraction
invalid: XNumber of invalid results encounteredData quality issues or errors
New: XNumber of new items discoveredFresh data being collected
High invalid counts may indicate:
  • Configuration errors in commands
  • Changes in source data structure
  • Network or connectivity issues
  • Validation rule mismatches

Step Header Information

Each step card displays:
  • Step Name - Descriptive identifier
  • Technology Badge - Primary technology used (HTTP, Browser, Android)
  • Timeout - Maximum execution time (e.g., “120000 ms”)
  • Validation Statistics - Performance metrics (valid/invalid/new counts)

Interpreting Statistics

Healthy Step Indicators:
  • High valid count relative to invalid
  • Consistent new item discovery
  • Low timeout occurrences
Warning Signs:
  • Increasing invalid count over time
  • Zero new items for extended periods
  • Frequent timeout errors
  • Sudden drops in valid count

Project Items Monitoring

Project Items Tab

The Project Items tab provides comprehensive monitoring of extracted data: Features:
  • View all items extracted by the project
  • Monitor item status and metadata
  • Track item creation and update timestamps
  • Filter and search extracted items
Use Cases:
  • Verify data extraction is working correctly
  • Monitor data freshness
  • Identify missing or duplicate items
  • Export extracted data for analysis
1

Access Project Items

Navigate to the Project Items tab in the Project View.
2

Review Item List

Browse the list of extracted items with their status and metadata.
3

Filter Items

Use filters to find specific items by status, date, or other criteria.
4

Export Data

Export items for external analysis or reporting.

Item Status Tracking

Monitor item status to understand data flow:
  • New Items - Recently discovered items
  • Updated Items - Items with refreshed data
  • Processed Items - Items successfully sent to sinks
  • Failed Items - Items that encountered errors

Testing & Validation

For detailed information on testing and validation, see the Debugging Your Project guide.

Performance Monitoring Best Practices

Regular Monitoring Checklist

  • Check project status (Active/Inactive)
  • Review step validation statistics
  • Monitor invalid count trends
  • Verify new item discovery rate
  • Check Project Items tab for data flow
  • Review timeout occurrences
  • Test steps after configuration changes

Performance Optimization Tips

Improve Valid Count:
  • Review and fix command configurations
  • Update JSONPath queries for current data structure
  • Verify HTTP request parameters
  • Check data validation rules
Reduce Invalid Count:
  • Identify patterns in invalid results
  • Update parsing logic for edge cases
  • Add error handling for missing data
  • Validate data structure before processing
Increase New Item Discovery:
  • Verify source data is updating
  • Check for API or website changes
  • Review filtering logic
  • Ensure proper data extraction paths

Troubleshooting Performance Issues

For detailed troubleshooting steps and debugging techniques, see the Debugging Your Project guide.

Exporting Monitoring Data

Project Configuration Export

Export project configuration for analysis:
1

Click Download Button

Use the cloud-download icon in the header to export project configuration.
2

Save Configuration

Configuration is exported as JSON or configuration file.
3

Analyze Offline

Review configuration and statistics in external tools.
Export Use Cases:
  • Backup project configuration
  • Share with team members
  • Version control
  • Performance analysis
  • Troubleshooting support