Daily Statistics

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Total Runs

0

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Scraped

0

Total listings
New Found

0

Not seen before
Passed Filter

0

0% pass rate
Emails Sent

0

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Avg Runtime

0m

Per task

Performance Trends

Task Breakdown by Source

Task Name Interval Runs Scraped New Matched Emails

Recent Activity

Quick Actions

Performance Metrics

Task Performance Over Time
Success Rate by Task
Scraping Mode Distribution

Proxy Analytics

Proxy Performance Breakdown

Proxy Name First Attempt Fallback Attempts Overall Success Rate Avg Response Time
Success Failed Total Success Rate 2nd Attempt 3rd Attempt 4th Attempt
Failure Reasons by Proxy
First Attempt Success Rates

System Logs

Database Management

Database Statistics
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Total Tasks Loading...
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Backup Operations
Database Maintenance
Export Data

Email Reports

Email Statistics
Recent Email Activity
Sent At Recipients Listings Count Status Actions

Documentation

README

Main project documentation and setup instructions

CLAUDE.md

Claude AI assistant instructions and commands

Interactive API Docs

Swagger/OpenAPI interactive documentation

Docker Setup

Docker configuration and deployment guide

Requirements

Python package dependencies

Environment Config

Environment variables configuration

Admin Tools

Maintenance Tasks
System Diagnostics

Technical Documentation

These documents provide detailed technical information about how the application works.

Core Scraping Processes

Facebook Scraper Flow

Detailed workflow of Facebook Marketplace scraping

Craigslist Scraper Flow

Craigslist scraping implementation

Apify Integration

External scraping service integration

Filtering and Processing

Filter Pipeline Overview

Complete filtering system architecture

Time-Based Filtering

Age-based listing filtering

Location & Distance Filtering

Geocoding and distance calculations

Price Filtering

Price validation and filtering logic

Seller Type Filtering

Private seller vs dealer detection

AI Classification

OpenAI integration for content validation

Deduplication System

Duplicate detection and handling

Performance and Monitoring

Timing Breakdown System

Performance tracking implementation

Filter Statistics

Metrics collection and reporting

Scraping Modes

Headless, virtual display, and visible modes

Data Management

Database Schema

Complete database structure and relationships

Data Flow Architecture

How data moves through the system

Listing Lifecycle

From scraping to notification

More Documentation

Complete Documentation Index

View all 30 technical documents

Note: Some documents are still being written. Check the index for the complete list and status.

Listing Age Effectiveness Report

Success Rate by Age Range
Approach Type Distribution
Approach Effectiveness by Age
Category Approach 0-15min 16-30min 31-60min 1-4hr 4hr+ Total
Daily Summary
Date 0-15min 16-30min 31-60min 1-4hr 4hr+ Total