532 lines
30 KiB
Markdown
532 lines
30 KiB
Markdown
# Scaev - Architecture & Data Flow
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## System Overview
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The scraper follows a **3-phase hierarchical crawling pattern** to extract auction and lot data from Troostwijk Auctions website.
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## Architecture Diagram
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```mariadb
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┌─────────────────────────────────────────────────────────────────┐
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│ TROOSTWIJK SCRAPER │
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└─────────────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────────┐
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│ PHASE 1: COLLECT AUCTION URLs │
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│ ┌──────────────┐ ┌──────────────┐ │
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│ │ Listing Page │────────▶│ Extract /a/ │ │
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│ │ /auctions? │ │ auction URLs │ │
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│ │ page=1..N │ └──────────────┘ │
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│ └──────────────┘ │ │
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│ ▼ │
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│ [ List of Auction URLs ] │
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└─────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ PHASE 2: EXTRACT LOT URLs FROM AUCTIONS │
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│ ┌──────────────┐ ┌──────────────┐ │
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│ │ Auction Page │────────▶│ Parse │ │
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│ │ /a/... │ │ __NEXT_DATA__│ │
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│ └──────────────┘ │ JSON │ │
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│ │ └──────────────┘ │
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│ │ │ │
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│ ▼ ▼ │
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│ ┌──────────────┐ ┌──────────────┐ │
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│ │ Save Auction │ │ Extract /l/ │ │
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│ │ Metadata │ │ lot URLs │ │
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│ │ to DB │ └──────────────┘ │
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│ └──────────────┘ │ │
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│ ▼ │
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│ [ List of Lot URLs ] │
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└─────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ PHASE 3: SCRAPE LOT DETAILS + API ENRICHMENT │
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│ ┌──────────────┐ ┌──────────────┐ │
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│ │ Lot Page │────────▶│ Parse │ │
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│ │ /l/... │ │ __NEXT_DATA__│ │
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│ └──────────────┘ │ JSON │ │
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│ └──────────────┘ │
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│ │ │
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│ ┌─────────────────────────┼─────────────────┐ │
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│ ▼ ▼ ▼ │
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│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
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│ │ GraphQL API │ │ Bid History │ │ Save Images │ │
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│ │ (Bidding + │ │ REST API │ │ URLs to DB │ │
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│ │ Enrichment) │ │ (per lot) │ └──────────────┘ │
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│ └──────────────┘ └──────────────┘ │ │
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│ │ │ ▼ │
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│ └──────────┬────────────┘ [Optional Download │
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│ ▼ Concurrent per Lot] │
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│ ┌──────────────┐ │
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│ │ Save to DB: │ │
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│ │ - Lot data │ │
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│ │ - Bid data │ │
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│ │ - Enrichment │ │
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│ └──────────────┘ │
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└─────────────────────────────────────────────────────────────────┘
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```
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## Database Schema
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```mariadb
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┌──────────────────────────────────────────────────────────────────┐
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│ CACHE TABLE (HTML Storage with Compression) │
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├──────────────────────────────────────────────────────────────────┤
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│ cache │
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│ ├── url (TEXT, PRIMARY KEY) │
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│ ├── content (BLOB) -- Compressed HTML (zlib) │
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│ ├── timestamp (REAL) │
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│ ├── status_code (INTEGER) │
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│ └── compressed (INTEGER) -- 1=compressed, 0=plain │
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└──────────────────────────────────────────────────────────────────┘
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┌──────────────────────────────────────────────────────────────────┐
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│ AUCTIONS TABLE │
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├──────────────────────────────────────────────────────────────────┤
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│ auctions │
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│ ├── auction_id (TEXT, PRIMARY KEY) -- e.g. "A7-39813" │
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│ ├── url (TEXT, UNIQUE) │
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│ ├── title (TEXT) │
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│ ├── location (TEXT) -- e.g. "Cluj-Napoca, RO" │
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│ ├── lots_count (INTEGER) │
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│ ├── first_lot_closing_time (TEXT) │
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│ └── scraped_at (TEXT) │
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└──────────────────────────────────────────────────────────────────┘
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┌──────────────────────────────────────────────────────────────────┐
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│ LOTS TABLE (Core + Enriched Intelligence) │
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├──────────────────────────────────────────────────────────────────┤
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│ lots │
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│ ├── lot_id (TEXT, PRIMARY KEY) -- e.g. "A1-28505-5" │
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│ ├── auction_id (TEXT) -- FK to auctions │
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│ ├── url (TEXT, UNIQUE) │
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│ ├── title (TEXT) │
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│ │ │
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│ ├─ BIDDING DATA (GraphQL API) ──────────────────────────────────┤
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│ ├── current_bid (TEXT) -- Current bid amount │
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│ ├── starting_bid (TEXT) -- Initial/opening bid │
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│ ├── minimum_bid (TEXT) -- Next minimum bid │
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│ ├── bid_count (INTEGER) -- Number of bids │
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│ ├── bid_increment (REAL) -- Bid step size │
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│ ├── closing_time (TEXT) -- Lot end date │
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│ ├── status (TEXT) -- Minimum bid status │
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│ │ │
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│ ├─ BID INTELLIGENCE (Calculated from bid_history) ──────────────┤
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│ ├── first_bid_time (TEXT) -- First bid timestamp │
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│ ├── last_bid_time (TEXT) -- Latest bid timestamp │
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│ ├── bid_velocity (REAL) -- Bids per hour │
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│ │ │
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│ ├─ VALUATION & ATTRIBUTES (from __NEXT_DATA__) ─────────────────┤
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│ ├── brand (TEXT) -- Brand from attributes │
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│ ├── model (TEXT) -- Model from attributes │
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│ ├── manufacturer (TEXT) -- Manufacturer name │
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│ ├── year_manufactured (INTEGER) -- Year extracted │
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│ ├── condition_score (REAL) -- 0-10 condition rating │
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│ ├── condition_description (TEXT) -- Condition text │
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│ ├── serial_number (TEXT) -- Serial/VIN number │
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│ ├── damage_description (TEXT) -- Damage notes │
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│ ├── attributes_json (TEXT) -- Full attributes JSON │
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│ │ │
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│ ├─ LEGACY/OTHER ─────────────────────────────────────────────────┤
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│ ├── viewing_time (TEXT) -- Viewing schedule │
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│ ├── pickup_date (TEXT) -- Pickup schedule │
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│ ├── location (TEXT) -- e.g. "Dongen, NL" │
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│ ├── description (TEXT) -- Lot description │
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│ ├── category (TEXT) -- Lot category │
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│ ├── sale_id (INTEGER) -- Legacy field │
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│ ├── type (TEXT) -- Legacy field │
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│ ├── year (INTEGER) -- Legacy field │
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│ ├── currency (TEXT) -- Currency code │
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│ ├── closing_notified (INTEGER) -- Notification flag │
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│ └── scraped_at (TEXT) -- Scrape timestamp │
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│ FOREIGN KEY (auction_id) → auctions(auction_id) │
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└──────────────────────────────────────────────────────────────────┘
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┌──────────────────────────────────────────────────────────────────┐
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│ IMAGES TABLE (Image URLs & Download Status) │
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├──────────────────────────────────────────────────────────────────┤
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│ images ◀── THIS TABLE HOLDS IMAGE LINKS│
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│ ├── id (INTEGER, PRIMARY KEY AUTOINCREMENT) │
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│ ├── lot_id (TEXT) -- FK to lots │
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│ ├── url (TEXT) -- Image URL │
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│ ├── local_path (TEXT) -- Path after download │
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│ └── downloaded (INTEGER) -- 0=pending, 1=downloaded │
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│ FOREIGN KEY (lot_id) → lots(lot_id) │
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│ UNIQUE INDEX idx_unique_lot_url ON (lot_id, url) │
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└──────────────────────────────────────────────────────────────────┘
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┌──────────────────────────────────────────────────────────────────┐
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│ BID_HISTORY TABLE (Complete Bid Tracking for Intelligence) │
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├──────────────────────────────────────────────────────────────────┤
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│ bid_history ◀── REST API: /bidding-history │
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│ ├── id (INTEGER, PRIMARY KEY AUTOINCREMENT) │
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│ ├── lot_id (TEXT) -- FK to lots │
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│ ├── bid_amount (REAL) -- Bid in EUR │
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│ ├── bid_time (TEXT) -- ISO 8601 timestamp │
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│ ├── is_autobid (INTEGER) -- 0=manual, 1=autobid │
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│ ├── bidder_id (TEXT) -- Anonymized bidder UUID │
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│ ├── bidder_number (INTEGER) -- Bidder display number │
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│ └── created_at (TEXT) -- Record creation timestamp │
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│ FOREIGN KEY (lot_id) → lots(lot_id) │
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│ INDEX idx_bid_history_lot ON (lot_id) │
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│ INDEX idx_bid_history_time ON (bid_time) │
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└──────────────────────────────────────────────────────────────────┘
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```
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## Sequence Diagram
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```
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User Scraper Playwright Cache DB Data Tables
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│ │ │ │ │
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│ Run │ │ │ │
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├──────────────▶│ │ │ │
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│ │ │ │ │
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│ │ Phase 1: Listing Pages │ │
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│ ├───────────────▶│ │ │
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│ │ goto() │ │ │
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│ │◀───────────────┤ │ │
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│ │ HTML │ │ │
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│ ├───────────────────────────────▶│ │
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│ │ compress & cache │ │
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│ │ │ │ │
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│ │ Phase 2: Auction Pages │ │
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│ ├───────────────▶│ │ │
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│ │◀───────────────┤ │ │
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│ │ HTML │ │ │
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│ │ │ │ │
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│ │ Parse __NEXT_DATA__ JSON │ │
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│ │────────────────────────────────────────────────▶│
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│ │ │ │ INSERT auctions
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│ │ │ │ │
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│ │ Phase 3: Lot Pages │ │
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│ ├───────────────▶│ │ │
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│ │◀───────────────┤ │ │
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│ │ HTML │ │ │
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│ │ │ │ │
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│ │ Parse __NEXT_DATA__ JSON │ │
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│ │────────────────────────────────────────────────▶│
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│ │ │ │ INSERT lots │
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│ │────────────────────────────────────────────────▶│
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│ │ │ │ INSERT images│
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│ │ │ │ │
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│ │ Export to CSV/JSON │ │
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│ │◀────────────────────────────────────────────────┤
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│ │ Query all data │ │
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│◀──────────────┤ │ │ │
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│ Results │ │ │ │
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```
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## Data Flow Details
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### 1. **Page Retrieval & Caching**
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```
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Request URL
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│
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├──▶ Check cache DB (with timestamp validation)
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│ │
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│ ├─[HIT]──▶ Decompress (if compressed=1)
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│ │ └──▶ Return HTML
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│ │
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│ └─[MISS]─▶ Fetch via Playwright
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│ │
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│ ├──▶ Compress HTML (zlib level 9)
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│ │ ~70-90% size reduction
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│ │
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│ └──▶ Store in cache DB (compressed=1)
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│
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└──▶ Return HTML for parsing
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```
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### 2. **JSON Parsing Strategy**
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```
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HTML Content
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│
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└──▶ Extract <script id="__NEXT_DATA__">
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│
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├──▶ Parse JSON
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│ │
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│ ├─[has pageProps.lot]──▶ Individual LOT
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│ │ └──▶ Extract: title, bid, location, images, etc.
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│ │
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│ └─[has pageProps.auction]──▶ AUCTION
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│ │
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│ ├─[has lots[] array]──▶ Auction with lots
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│ │ └──▶ Extract: title, location, lots_count
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│ │
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│ └─[no lots[] array]──▶ Old format lot
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│ └──▶ Parse as lot
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│
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└──▶ Fallback to HTML regex parsing (if JSON fails)
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```
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### 3. **API Enrichment Flow**
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```
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Lot Page Scraped (__NEXT_DATA__ parsed)
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│
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├──▶ Extract lot UUID from JSON
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│
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├──▶ GraphQL API Call (fetch_lot_bidding_data)
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│ └──▶ Returns: current_bid, starting_bid, minimum_bid,
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│ bid_count, closing_time, status, bid_increment
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│
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├──▶ [If bid_count > 0] REST API Call (fetch_bid_history)
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│ │
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│ ├──▶ Fetch all bid pages (paginated)
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│ │
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│ └──▶ Returns: Complete bid history with timestamps,
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│ bidder_ids, autobid flags, amounts
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│ │
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│ ├──▶ INSERT INTO bid_history (multiple records)
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│ │
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│ └──▶ Calculate bid intelligence:
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│ - first_bid_time (earliest timestamp)
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│ - last_bid_time (latest timestamp)
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│ - bid_velocity (bids per hour)
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│
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├──▶ Extract enrichment from __NEXT_DATA__:
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│ - Brand, model, manufacturer (from attributes)
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│ - Year (regex from title/attributes)
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│ - Condition (map to 0-10 score)
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│ - Serial number, damage description
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│
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└──▶ INSERT/UPDATE lots table with all data
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```
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### 4. **Image Handling (Concurrent per Lot)**
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```
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Lot Page Parsed
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│
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├──▶ Extract images[] from JSON
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│ │
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│ └──▶ INSERT OR IGNORE INTO images (lot_id, url, downloaded=0)
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│ └──▶ Unique constraint prevents duplicates
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│
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└──▶ [If DOWNLOAD_IMAGES=True]
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│
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├──▶ Create concurrent download tasks (asyncio.gather)
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│ │
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│ ├──▶ All images for lot download in parallel
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│ │ (No rate limiting between images in same lot)
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│ │
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│ ├──▶ Save to: /images/{lot_id}/001.jpg
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│ │
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│ └──▶ UPDATE images SET local_path=?, downloaded=1
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│
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└──▶ Rate limit only between lots (0.5s)
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(Not between images within a lot)
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```
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## Key Configuration
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| Setting | Value | Purpose |
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|----------------------|-----------------------------------|----------------------------------|
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| `CACHE_DB` | `/mnt/okcomputer/output/cache.db` | SQLite database path |
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| `IMAGES_DIR` | `/mnt/okcomputer/output/images` | Downloaded images storage |
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| `RATE_LIMIT_SECONDS` | `0.5` | Delay between requests |
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| `DOWNLOAD_IMAGES` | `False` | Toggle image downloading |
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| `MAX_PAGES` | `50` | Number of listing pages to crawl |
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## Output Files
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```
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/mnt/okcomputer/output/
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├── cache.db # SQLite database (compressed HTML + data)
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├── auctions_{timestamp}.json # Exported auctions
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├── auctions_{timestamp}.csv # Exported auctions
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├── lots_{timestamp}.json # Exported lots
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├── lots_{timestamp}.csv # Exported lots
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└── images/ # Downloaded images (if enabled)
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├── A1-28505-5/
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│ ├── 001.jpg
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│ └── 002.jpg
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└── A1-28505-6/
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└── 001.jpg
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```
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## Extension Points for Integration
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### 1. **Downstream Processing Pipeline**
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```sqlite
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-- Query lots without downloaded images
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SELECT lot_id, url FROM images WHERE downloaded = 0;
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-- Process images: OCR, classification, etc.
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-- Update status when complete
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UPDATE images SET downloaded = 1, local_path = ? WHERE id = ?;
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```
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### 2. **Real-time Monitoring**
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```sqlite
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-- Check for new lots every N minutes
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SELECT COUNT(*) FROM lots WHERE scraped_at > datetime('now', '-1 hour');
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-- Monitor bid changes
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SELECT lot_id, current_bid, bid_count FROM lots WHERE bid_count > 0;
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```
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### 3. **Analytics & Reporting**
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```sqlite
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-- Top locations
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SELECT location, COUNT(*) as lots_count FROM lots GROUP BY location;
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-- Auction statistics
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SELECT
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a.auction_id,
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a.title,
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COUNT(l.lot_id) as actual_lots,
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SUM(CASE WHEN l.bid_count > 0 THEN 1 ELSE 0 END) as lots_with_bids
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FROM auctions a
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LEFT JOIN lots l ON a.auction_id = l.auction_id
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GROUP BY a.auction_id
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```
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### 4. **Image Processing Integration**
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```sqlite
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-- Get all images for a lot
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SELECT url, local_path FROM images WHERE lot_id = 'A1-28505-5';
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-- Batch process unprocessed images
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SELECT i.id, i.lot_id, i.local_path, l.title, l.category
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FROM images i
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JOIN lots l ON i.lot_id = l.lot_id
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WHERE i.downloaded = 1 AND i.local_path IS NOT NULL;
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```
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## Performance Characteristics
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- **Compression**: ~70-90% HTML size reduction (1GB → ~100-300MB)
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- **Rate Limiting**: Exactly 0.5s between requests (respectful scraping)
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- **Caching**: 24-hour default cache validity (configurable)
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- **Throughput**: ~7,200 pages/hour (with 0.5s rate limit)
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- **Scalability**: SQLite handles millions of rows efficiently
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## Error Handling
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- **Network failures**: Cached as status_code=500, retry after cache expiry
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- **Parse failures**: Falls back to HTML regex patterns
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- **Compression errors**: Auto-detects and handles uncompressed legacy data
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- **Missing fields**: Defaults to "No bids", empty string, or 0
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## Rate Limiting & Ethics
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- **REQUIRED**: 0.5 second delay between page requests (not between images)
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- **Respects cache**: Avoids unnecessary re-fetching
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- **User-Agent**: Identifies as standard browser
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- **No parallelization**: Single-threaded sequential crawling for pages
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- **Image downloads**: Concurrent within each lot (16x speedup)
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---
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## API Integration Architecture
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### GraphQL API
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**Endpoint:** `https://storefront.tbauctions.com/storefront/graphql`
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**Purpose:** Real-time bidding data and lot enrichment
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**Key Query:**
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```graphql
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query LotBiddingData($lotDisplayId: String!, $locale: String!, $platform: Platform!) {
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lotDetails(displayId: $lotDisplayId, locale: $locale, platform: $platform) {
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lot {
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currentBidAmount { cents currency }
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initialAmount { cents currency }
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nextMinimalBid { cents currency }
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nextBidStepInCents
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bidsCount
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followersCount # Available - Watch count
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startDate
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endDate
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minimumBidAmountMet
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biddingStatus
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condition
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location { city countryCode }
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categoryInformation { name path }
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attributes { name value }
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}
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estimatedFullPrice { # Available - Estimated value
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min { cents currency }
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max { cents currency }
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}
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}
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}
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```
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|
|
|
**Currently Captured:**
|
|
- ✅ Current bid, starting bid, minimum bid
|
|
- ✅ Bid count and bid increment
|
|
- ✅ Closing time and status
|
|
- ✅ Brand, model, manufacturer (from attributes)
|
|
|
|
**Available but Not Yet Captured:**
|
|
- ⚠️ `followersCount` - Watch count for popularity analysis
|
|
- ⚠️ `estimatedFullPrice` - Min/max estimated values
|
|
- ⚠️ `biddingStatus` - More detailed status enum
|
|
- ⚠️ `condition` - Direct condition field
|
|
- ⚠️ `location` - City, country details
|
|
- ⚠️ `categoryInformation` - Structured category
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|
|
|
### REST API - Bid History
|
|
**Endpoint:** `https://shared-api.tbauctions.com/bidmanagement/lots/{lot_uuid}/bidding-history`
|
|
|
|
**Purpose:** Complete bid history for intelligence analysis
|
|
|
|
**Parameters:**
|
|
- `pageNumber` (starts at 1)
|
|
- `pageSize` (default: 100)
|
|
|
|
**Response Example:**
|
|
```json
|
|
{
|
|
"results": [
|
|
{
|
|
"buyerId": "uuid", // Anonymized bidder ID
|
|
"buyerNumber": 4, // Display number
|
|
"currentBid": {
|
|
"cents": 370000,
|
|
"currency": "EUR"
|
|
},
|
|
"autoBid": false, // Is autobid
|
|
"negotiated": false, // Was negotiated
|
|
"createdAt": "2025-12-05T04:53:56.763033Z"
|
|
}
|
|
],
|
|
"hasNext": true,
|
|
"pageNumber": 1
|
|
}
|
|
```
|
|
|
|
**Captured Data:**
|
|
- ✅ Bid amount, timestamp, bidder ID
|
|
- ✅ Autobid flag
|
|
- ⚠️ `negotiated` - Not yet captured
|
|
|
|
**Calculated Intelligence:**
|
|
- ✅ First bid time
|
|
- ✅ Last bid time
|
|
- ✅ Bid velocity (bids per hour)
|
|
|
|
### API Integration Points
|
|
|
|
**Files:**
|
|
- `src/graphql_client.py` - GraphQL queries and parsing
|
|
- `src/bid_history_client.py` - REST API pagination and parsing
|
|
- `src/scraper.py` - Integration during lot scraping
|
|
|
|
**Flow:**
|
|
1. Lot page scraped → Extract lot UUID from `__NEXT_DATA__`
|
|
2. Call GraphQL API → Get bidding data
|
|
3. If bid_count > 0 → Call REST API → Get complete bid history
|
|
4. Calculate bid intelligence metrics
|
|
5. Save to database
|
|
|
|
**Rate Limiting:**
|
|
- API calls happen during lot scraping phase
|
|
- Overall 0.5s rate limit applies to page requests
|
|
- API calls are part of lot processing (not separately limited)
|
|
|
|
See `API_INTELLIGENCE_FINDINGS.md` for detailed field analysis and roadmap.
|