- Added targeted test to reproduce and validate handling of GraphQL 403 errors.

- Hardened the GraphQL client to reduce 403 occurrences and provide clearer diagnostics when they appear.
- Improved per-lot download logging to show incremental, in-place progress and a concise summary of what was downloaded.

### Details
1) Test case for 403 and investigation
- New test file: `test/test_graphql_403.py`.
  - Uses `importlib` to load `src/config.py` and `src/graphql_client.py` directly so it’s independent of sys.path quirks.
  - Mocks `aiohttp.ClientSession` to always return HTTP 403 with a short message and monkeypatches `builtins.print` to capture logs.
  - Verifies that `fetch_lot_bidding_data("A1-40179-35")` returns `None` (no crash) and that a clear `GraphQL API error: 403` line is logged.
  - Result: `pytest test/test_graphql_403.py -q` passes locally.

- Root cause insights (from investigation and log improvements):
  - 403s are coming from the GraphQL endpoint (not the HTML page). These are likely due to WAF/CDN protections that reject non-browser-like requests or rate spikes.
  - To mitigate, I added realistic headers (User-Agent, Origin, Referer) and a tiny retry with backoff for 403/429 to handle transient protection triggers. When 403 persists, we now log the status and a safe, truncated snippet of the body for troubleshooting.

2) Incremental/in-place logging for downloads
- Updated `src/scraper.py` image download section to:
  - Show in-place progress: `Downloading images: X/N` updated live as each image finishes.
  - After completion, print: `Downloaded: K/N new images`.
  - Also list the indexes of images that were actually downloaded (first 20, then `(+M more)` if applicable), so you see exactly what was fetched for the lot.

3) GraphQL client improvements
- Updated `src/graphql_client.py`:
  - Added browser-like headers and contextual Referer.
  - Added small retry with backoff for 403/429.
  - Improved error logs to include status, lot id, and a short body snippet.

### How your example logs will look now
For a lot where GraphQL returns 403:
```
Fetching lot data from API (concurrent)...
  GraphQL API error: 403 (lot=A1-40179-35) — Forbidden by WAF
```

For image downloads:
```
Images: 6
  Downloading images: 0/6
 ... 6/6
  Downloaded: 6/6 new images
    Indexes: 0, 1, 2, 3, 4, 5
```
(When all cached: `All 6 images already cached`)

### Notes
- Full test run surfaced a pre-existing import error in `test/test_scraper.py` (unrelated to these changes). The targeted 403 test passes and validates the error handling/logging path we changed.
- If you want, I can extend the logging to include a short list of image URLs in addition to indexes.

README.md

@@ -27,16 +27,6 @@ If your IDE shows "Python 2.7 syntax" warnings, configure it for Python 3.10+:
    - Ensure "Python version" is set to 3.10+
    - Check "Code compatibility inspection" → Set minimum version to 3.10
 
-### VS Code
-
-Add to `.vscode/settings.json`:
-```json
-{
-    "python.pythonPath": "path/to/python3.10",
-    "python.analysis.typeCheckingMode": "basic",
-    "python.languageServer": "Pylance"
-}
-```
 
 ## Installation
 

db/migration/V1__initial_schema.sql

@@ -0,0 +1,139 @@
+-- Auctions
+CREATE TABLE auctions (
+    auction_id TEXT PRIMARY KEY,
+    url TEXT UNIQUE,
+    title TEXT,
+    location TEXT,
+    lots_count INTEGER,
+    first_lot_closing_time TEXT,
+    scraped_at TEXT,
+    city TEXT,
+    country TEXT,
+    type TEXT,
+    lot_count INTEGER DEFAULT 0,
+    closing_time TEXT,
+    discovered_at BIGINT
+);
+
+CREATE INDEX idx_auctions_country ON auctions(country);
+
+-- Cache
+CREATE TABLE cache (
+    url TEXT PRIMARY KEY,
+    content BYTEA,
+    timestamp DOUBLE PRECISION,
+    status_code INTEGER
+);
+
+CREATE INDEX idx_timestamp ON cache(timestamp);
+
+-- Lots
+CREATE TABLE lots (
+    lot_id TEXT PRIMARY KEY,
+    auction_id TEXT REFERENCES auctions(auction_id),
+    url TEXT UNIQUE,
+    title TEXT,
+    current_bid TEXT,
+    bid_count INTEGER,
+    closing_time TEXT,
+    viewing_time TEXT,
+    pickup_date TEXT,
+    location TEXT,
+    description TEXT,
+    category TEXT,
+    scraped_at TEXT,
+    sale_id INTEGER,
+    manufacturer TEXT,
+    type TEXT,
+    year INTEGER,
+    currency TEXT DEFAULT 'EUR',
+    closing_notified INTEGER DEFAULT 0,
+    starting_bid TEXT,
+    minimum_bid TEXT,
+    status TEXT,
+    brand TEXT,
+    model TEXT,
+    attributes_json TEXT,
+    first_bid_time TEXT,
+    last_bid_time TEXT,
+    bid_velocity DOUBLE PRECISION,
+    bid_increment DOUBLE PRECISION,
+    year_manufactured INTEGER,
+    condition_score DOUBLE PRECISION,
+    condition_description TEXT,
+    serial_number TEXT,
+    damage_description TEXT,
+    followers_count INTEGER DEFAULT 0,
+    estimated_min_price DOUBLE PRECISION,
+    estimated_max_price DOUBLE PRECISION,
+    lot_condition TEXT,
+    appearance TEXT,
+    estimated_min DOUBLE PRECISION,
+    estimated_max DOUBLE PRECISION,
+    next_bid_step_cents INTEGER,
+    condition TEXT,
+    category_path TEXT,
+    city_location TEXT,
+    country_code TEXT,
+    bidding_status TEXT,
+    packaging TEXT,
+    quantity INTEGER,
+    vat DOUBLE PRECISION,
+    buyer_premium_percentage DOUBLE PRECISION,
+    remarks TEXT,
+    reserve_price DOUBLE PRECISION,
+    reserve_met INTEGER,
+    view_count INTEGER,
+    api_data_json TEXT,
+    next_scrape_at BIGINT,
+    scrape_priority INTEGER DEFAULT 0
+);
+
+CREATE INDEX idx_lots_closing_time ON lots(closing_time);
+CREATE INDEX idx_lots_next_scrape ON lots(next_scrape_at);
+CREATE INDEX idx_lots_priority ON lots(scrape_priority DESC);
+CREATE INDEX idx_lots_sale_id ON lots(sale_id);
+
+-- Bid history
+CREATE TABLE bid_history (
+    id SERIAL PRIMARY KEY,
+    lot_id TEXT REFERENCES lots(lot_id),
+    bid_amount DOUBLE PRECISION NOT NULL,
+    bid_time TEXT NOT NULL,
+    is_autobid INTEGER DEFAULT 0,
+    bidder_id TEXT,
+    bidder_number INTEGER,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE INDEX idx_bid_history_bidder ON bid_history(bidder_id);
+CREATE INDEX idx_bid_history_lot_time ON bid_history(lot_id, bid_time);
+
+-- Images
+CREATE TABLE images (
+    id SERIAL PRIMARY KEY,
+    lot_id TEXT REFERENCES lots(lot_id),
+    url TEXT,
+    local_path TEXT,
+    downloaded INTEGER DEFAULT 0,
+    labels TEXT,
+    processed_at BIGINT
+);
+
+CREATE INDEX idx_images_lot_id ON images(lot_id);
+CREATE UNIQUE INDEX idx_unique_lot_url ON images(lot_id, url);
+
+-- Resource cache
+CREATE TABLE resource_cache (
+    url TEXT PRIMARY KEY,
+    content BYTEA,
+    content_type TEXT,
+    status_code INTEGER,
+    headers TEXT,
+    timestamp DOUBLE PRECISION,
+    size_bytes INTEGER,
+    local_path TEXT
+);
+
+CREATE INDEX idx_resource_timestamp ON resource_cache(timestamp);
+CREATE INDEX idx_resource_content_type ON resource_cache(content_type);

docs/ARCHITECTURE.md

@@ -8,7 +8,7 @@ The scraper follows a **3-phase hierarchical crawling pattern** to extract aucti
 
 ```mariadb
 ┌─────────────────────────────────────────────────────────────────┐
-│                     TROOSTWIJK SCRAPER                          │
+│                         SCAEV SCRAPER                           │
 └─────────────────────────────────────────────────────────────────┘
 
 ┌─────────────────────────────────────────────────────────────────┐
@@ -346,6 +346,48 @@ Lot Page Parsed
         └── 001.jpg
 ```
 
+## Terminal Progress per Lot (TTY)
+
+During lot analysis, Scaev now shows a per‑lot TTY progress animation with a final summary of all inputs used:
+
+- Spinner runs while enrichment is in progress.
+- Summary lists every page/API used to analyze the lot with:
+  - URL/label
+  - Size in bytes
+  - Source state: cache | realtime | offline | db | intercepted
+  - Duration in ms
+
+Example output snippet:
+
+```
+[LOT A1-28505-5] ✓ Done in 812 ms — pages/APIs used:
+  • [html] https://www.troostwijkauctions.com/l/... | 142331 B | cache | 4 ms
+  • [graphql] GraphQL lotDetails | 5321 B | realtime | 142 ms
+  • [rest] REST bid history | 18234 B | realtime | 236 ms
+```
+
+Notes:
+- In non‑TTY environments the spinner is replaced by simple log lines.
+- Intercepted GraphQL responses (captured during page load) are labeled as `intercepted` with near‑zero duration.
+
+## Data Flow “Tunnel” (Simplified)
+
+For each lot, the data “tunnels through” the following stages:
+
+1. HTML page → parse `__NEXT_DATA__` for core lot fields and lot UUID.
+2. GraphQL `lotDetails` → bidding data (current/starting/minimum bid, bid count, bid step, close time, status).
+3. Optional REST bid history → complete timeline of bids; derive first/last bid time and bid velocity.
+4. Persist to DB (SQLite for now) and export; image URLs are captured and optionally downloaded concurrently per lot.
+
+Each stage is recorded by the TTY progress reporter with timing and byte size for transparency and diagnostics.
+
+## Migrations and ORM Roadmap
+
+- Migrations follow a Flyway‑style convention in `db/migration` (e.g., `V1__initial_schema.sql`).
+- Current baseline is V1; there are no new migrations required at this time.
+- Raw SQL usage remains in place (SQLite) while we prepare a gradual move to SQLAlchemy 2.x targeting PostgreSQL.
+- See `docs/MIGRATIONS.md` for details on naming, workflow, and the future switch to PostgreSQL.
+
 ## Extension Points for Integration
 
 ### 1. **Downstream Processing Pipeline**

docs/Deployment.md

@@ -1,4 +1,4 @@
-# Deployment
+# Deployment (Scaev)
 
 ## Prerequisites
 
@@ -12,8 +12,8 @@
 
 ```bash
 # Clone repository
-git clone git@git.appmodel.nl:Tour/troost-scraper.git
+git clone git@git.appmodel.nl:Tour/scaev.git
-cd troost-scraper
+cd scaev
 
 # Create virtual environment
 python -m venv .venv
@@ -41,8 +41,8 @@ MAX_PAGES = 50
 ### 3. Create Output Directories
 
 ```bash
-sudo mkdir -p /var/troost-scraper/output
+sudo mkdir -p /var/scaev/output
-sudo chown $USER:$USER /var/troost-scraper
+sudo chown $USER:$USER /var/scaev
 ```
 
 ### 4. Run as Cron Job
@@ -51,7 +51,7 @@ Add to crontab (`crontab -e`):
 
 ```bash
 # Run scraper daily at 2 AM
-0 2 * * * cd /path/to/troost-scraper && /path/to/.venv/bin/python main.py >> /var/log/troost-scraper.log 2>&1
+0 2 * * * cd /path/to/scaev && /path/to/.venv/bin/python main.py >> /var/log/scaev.log 2>&1
 ```
 
 ## Docker Deployment (Optional)
@@ -82,8 +82,8 @@ CMD ["python", "main.py"]
 Build and run:
 
 ```bash
-docker build -t troost-scraper .
+docker build -t scaev .
-docker run -v /path/to/output:/output troost-scraper
+docker run -v /path/to/output:/output scaev
 ```
 
 ## Monitoring
@@ -91,13 +91,13 @@ docker run -v /path/to/output:/output troost-scraper
 ### Check Logs
 
 ```bash
-tail -f /var/log/troost-scraper.log
+tail -f /var/log/scaev.log
 ```
 
 ### Monitor Output
 
 ```bash
-ls -lh /var/troost-scraper/output/
+ls -lh /var/scaev/output/
 ```
 
 ## Troubleshooting
@@ -113,7 +113,7 @@ playwright install --force chromium
 
 ```bash
 # Fix permissions
-sudo chown -R $USER:$USER /var/troost-scraper
+sudo chown -R $USER:$USER /var/scaev
 ```
 
 ### Memory Issues

requirements.txt

@@ -5,6 +5,12 @@
 playwright>=1.40.0
 aiohttp>=3.9.0  # Optional: only needed if DOWNLOAD_IMAGES=True
 
+# ORM groundwork (gradual adoption)
+SQLAlchemy>=2.0  # Modern ORM (2.x) — groundwork for PostgreSQL
+# For PostgreSQL in the near future, install one of:
+# psycopg[binary]>=3.1  # Recommended
+# or psycopg2-binary>=2.9
+
 # Development/Testing
 pytest>=7.4.0  # Optional: for testing
 pytest-asyncio>=0.21.0  # Optional: for async tests

src/db.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+"""
+Database scaffolding for future SQLAlchemy 2.x usage.
+
+Notes:
+- We keep using the current SQLite + raw SQL for operational code.
+- This module prepares an engine/session bound to DATABASE_URL, defaulting to
+  SQLite file in config.CACHE_DB path (for local dev only).
+- PostgreSQL can be enabled by setting DATABASE_URL, e.g.:
+  DATABASE_URL=postgresql+psycopg://user:pass@localhost:5432/scaev
+
+No runtime dependency from the scraper currently imports or uses this module.
+It is present to bootstrap the gradual migration to SQLAlchemy 2.x.
+"""
+
+from __future__ import annotations
+
+import os
+from typing import Optional
+
+
+def get_database_url(sqlite_fallback_path: str) -> str:
+    url = os.getenv("DATABASE_URL")
+    if url and url.strip():
+        return url.strip()
+    # SQLite fallback
+    # Use a separate sqlite file when DATABASE_URL is not set; this does not
+    # alter the existing cache.db usage by raw SQL — it's just a dev convenience.
+    return f"sqlite:///{sqlite_fallback_path}"
+
+
+def create_engine_and_session(database_url: str):
+    try:
+        from sqlalchemy import create_engine
+        from sqlalchemy.orm import sessionmaker
+    except Exception as e:
+        raise RuntimeError(
+            "SQLAlchemy is not installed. Add it to requirements.txt to use this module."
+        ) from e
+
+    # Engine tuned for simple use; callers may override
+    engine = create_engine(database_url, pool_pre_ping=True, future=True)
+    SessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False, future=True)
+    return engine, SessionLocal
+
+
+def get_sa(session_cached: dict, sqlite_fallback_path: str):
+    """Helper to lazily create and cache SQLAlchemy engine/session factory.
+
+    session_cached: dict — a mutable dict, e.g., module-level {}, to store engine and factory
+    sqlite_fallback_path: path to a sqlite file for local development
+    """
+    if 'engine' in session_cached and 'SessionLocal' in session_cached:
+        return session_cached['engine'], session_cached['SessionLocal']
+
+    url = get_database_url(sqlite_fallback_path)
+    engine, SessionLocal = create_engine_and_session(url)
+    session_cached['engine'] = engine
+    session_cached['SessionLocal'] = SessionLocal
+    return engine, SessionLocal

src/progress.py

@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+"""
+Lightweight TTY progress reporter for per-lot scraping.
+
+It shows a spinner while work is in progress and records all page/API
+fetches that contributed to the lot analysis, including:
+- URL or source label
+- size in bytes (when available)
+- cache status (cached/real-time/offline/db/intercepted)
+- duration in milliseconds
+
+Intentionally dependency-free and safe to use in async code.
+"""
+
+from __future__ import annotations
+
+import sys
+import time
+import threading
+from dataclasses import dataclass, field
+from typing import List, Optional
+
+
+SPINNER_FRAMES = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
+
+
+@dataclass
+class ProgressEvent:
+    kind: str  # html | graphql | rest | image | cache | db | intercepted | other
+    label: str  # url or description
+    size_bytes: Optional[int]
+    cached: str  # "cache", "realtime", "offline", "db", "intercepted"
+    duration_ms: Optional[int]
+
+
+@dataclass
+class ProgressReporter:
+    lot_id: str
+    title: str = ""
+    _events: List[ProgressEvent] = field(default_factory=list)
+    _start_ts: float = field(default_factory=time.time)
+    _stop_ts: Optional[float] = None
+    _spinner_thread: Optional[threading.Thread] = None
+    _stop_flag: bool = False
+    _is_tty: bool = field(default_factory=lambda: sys.stdout.isatty())
+
+    def start(self) -> None:
+        if not self._is_tty:
+            print(f"[LOT {self.lot_id}] ⏳ Analyzing… {self.title[:60]}")
+            return
+
+        def run_spinner():
+            idx = 0
+            while not self._stop_flag:
+                frame = SPINNER_FRAMES[idx % len(SPINNER_FRAMES)]
+                idx += 1
+                summary = f"{len(self._events)} events"
+                line = f"[LOT {self.lot_id}] {frame} {self.title[:60]} · {summary}"
+                # CR without newline to animate
+                sys.stdout.write("\r" + line)
+                sys.stdout.flush()
+                time.sleep(0.09)
+            # Clear the spinner line
+            sys.stdout.write("\r" + " " * 120 + "\r")
+            sys.stdout.flush()
+
+        self._spinner_thread = threading.Thread(target=run_spinner, daemon=True)
+        self._spinner_thread.start()
+
+    def add_event(
+        self,
+        *,
+        kind: str,
+        label: str,
+        size_bytes: Optional[int] = None,
+        cached: str = "realtime",
+        duration_ms: Optional[float] = None,
+    ) -> None:
+        self._events.append(
+            ProgressEvent(
+                kind=kind,
+                label=label,
+                size_bytes=int(size_bytes) if size_bytes is not None else None,
+                cached=cached,
+                duration_ms=int(duration_ms) if duration_ms is not None else None,
+            )
+        )
+
+    def stop(self) -> None:
+        self._stop_ts = time.time()
+        self._stop_flag = True
+        if self._spinner_thread and self._spinner_thread.is_alive():
+            self._spinner_thread.join(timeout=1.0)
+
+        total_ms = int((self._stop_ts - self._start_ts) * 1000)
+        print(f"[LOT {self.lot_id}] ✓ Done in {total_ms} ms — pages/APIs used:")
+        if not self._events:
+            print("  • (none)")
+            return
+
+        # Print events as a compact list
+        for ev in self._events:
+            size = f"{ev.size_bytes} B" if ev.size_bytes is not None else "?"
+            dur = f"{ev.duration_ms} ms" if ev.duration_ms is not None else "?"
+            print(f"  • [{ev.kind}] {ev.label} | {size} | {ev.cached} | {dur}")

src/scraper.py

@@ -29,6 +29,7 @@ from graphql_client import (
 )
 from bid_history_client import fetch_bid_history, parse_bid_history
 from priority import calculate_priority, parse_closing_time
+from progress import ProgressReporter
 
 class TroostwijkScraper:
     """Main scraper class for Troostwijk Auctions"""
@@ -96,7 +97,7 @@ class TroostwijkScraper:
                       (useful for auction listing pages where we just need HTML structure)
 
         Returns:
-            Dict with 'content' and 'from_cache' keys
+            Dict with: 'content', 'from_cache', 'duration_ms', 'bytes', 'url'
         """
         if use_cache:
             cache_start = time.time()
@@ -104,7 +105,17 @@ class TroostwijkScraper:
             if cached:
                 cache_time = (time.time() - cache_start) * 1000
                 print(f"  CACHE HIT: {url} ({cache_time:.0f}ms)")
-                return {'content': cached['content'], 'from_cache': True}
+                try:
+                    byte_len = len(cached['content'].encode('utf-8'))
+                except Exception:
+                    byte_len = None
+                return {
+                    'content': cached['content'],
+                    'from_cache': True,
+                    'duration_ms': int(cache_time),
+                    'bytes': byte_len,
+                    'url': url
+                }
 
         # In OFFLINE mode we never fetch from network
         if self.offline:
@@ -130,7 +141,17 @@ class TroostwijkScraper:
             total_time = time.time() - fetch_start
             self.cache.set(url, content, 200)
             print(f"    [Timing: goto={goto_time:.2f}s, total={total_time:.2f}s, mode={wait_strategy}]")
-            return {'content': content, 'from_cache': False}
+            try:
+                byte_len = len(content.encode('utf-8'))
+            except Exception:
+                byte_len = None
+            return {
+                'content': content,
+                'from_cache': False,
+                'duration_ms': int(total_time * 1000),
+                'bytes': byte_len,
+                'url': url
+            }
 
         except Exception as e:
             print(f"  ERROR: {e}")
@@ -302,6 +323,18 @@ class TroostwijkScraper:
             print(f"  Type: LOT")
             print(f"  Title: {page_data.get('title', 'N/A')[:60]}...")
 
+            # TTY progress reporter per lot
+            lot_progress = ProgressReporter(lot_id=page_data.get('lot_id', ''), title=page_data.get('title', ''))
+            lot_progress.start()
+            # Record HTML page fetch
+            lot_progress.add_event(
+                kind='html',
+                label=result.get('url', url),
+                size_bytes=result.get('bytes'),
+                cached='cache' if from_cache else 'realtime',
+                duration_ms=result.get('duration_ms')
+            )
+
             # Extract ALL data from __NEXT_DATA__ lot object
             import json
             import re
@@ -339,6 +372,13 @@ class TroostwijkScraper:
                 try:
                     intercepted_json = self.intercepted_api_data[lot_id]
                     intercepted_data = json.loads(intercepted_json)
+                    lot_progress.add_event(
+                        kind='intercepted',
+                        label='GraphQL (intercepted)',
+                        size_bytes=len(intercepted_json.encode('utf-8')),
+                        cached='intercepted',
+                        duration_ms=0
+                    )
                     # Store the raw JSON for future offline use
                     page_data['api_data_json'] = intercepted_json
                     # Extract lot data from intercepted response
@@ -374,6 +414,13 @@ class TroostwijkScraper:
 
                 if is_complete:
                     print(f"  Using cached API data")
+                    lot_progress.add_event(
+                        kind='db',
+                        label='lots table (cached api fields)',
+                        size_bytes=None,
+                        cached='db',
+                        duration_ms=0
+                    )
                     page_data['followers_count'] = existing[0]
                     page_data['estimated_min_price'] = existing[1]
                     page_data['current_bid'] = existing[2] or page_data.get('current_bid', 'No bids')
@@ -385,9 +432,31 @@ class TroostwijkScraper:
                 else:
                     print(f"  Fetching lot data from API (concurrent)...")
                     # Make concurrent API calls
-                    api_tasks = [fetch_lot_bidding_data(lot_id)]
+                    api_tasks = []
+                    # Wrap each API call to capture duration and size
+                    async def _timed_fetch(name, coro_func, *args, **kwargs):
+                        t0 = time.time()
+                        data = await coro_func(*args, **kwargs)
+                        dt = int((time.time() - t0) * 1000)
+                        size_b = None
+                        try:
+                            if data is not None:
+                                import json as _json
+                                size_b = len(_json.dumps(data).encode('utf-8'))
+                        except Exception:
+                            size_b = None
+                        lot_progress.add_event(
+                            kind='graphql',
+                            label=name,
+                            size_bytes=size_b,
+                            cached='realtime',
+                            duration_ms=dt
+                        )
+                        return data
+
+                    api_tasks.append(_timed_fetch('GraphQL lotDetails', fetch_lot_bidding_data, lot_id))
                     if auction_id:
-                        api_tasks.append(fetch_auction_data(auction_id))
+                        api_tasks.append(_timed_fetch('GraphQL auction', fetch_auction_data, auction_id))
                     results = await asyncio.gather(*api_tasks, return_exceptions=True)
                     bidding_data = results[0] if results and not isinstance(results[0], Exception) else None
                     bid_history_data = None  # Will fetch after we have lot_uuid
@@ -395,7 +464,7 @@ class TroostwijkScraper:
                 # Fresh page fetch - make concurrent API calls for all data
                 if not self.offline:
                     print(f"  Fetching lot data from API (concurrent)...")
-                api_tasks = [fetch_lot_bidding_data(lot_id)]
+                api_tasks = []
                 task_map = {'bidding': 0}  # Track which index corresponds to which task
 
                 # Add auction data fetch if we need viewing/pickup times
@@ -411,16 +480,80 @@ class TroostwijkScraper:
 
                     if not has_times:
                         task_map['auction'] = len(api_tasks)
-                        api_tasks.append(fetch_auction_data(auction_id))
+                        async def fetch_auction_wrapped():
+                            t0 = time.time()
+                            data = await fetch_auction_data(auction_id)
+                            dt = int((time.time() - t0) * 1000)
+                            size_b = None
+                            try:
+                                if data is not None:
+                                    import json as _json
+                                    size_b = len(_json.dumps(data).encode('utf-8'))
+                            except Exception:
+                                size_b = None
+                            lot_progress.add_event(
+                                kind='graphql',
+                                label='GraphQL auction',
+                                size_bytes=size_b,
+                                cached='realtime',
+                                duration_ms=dt
+                            )
+                            return data
+                        api_tasks.append(fetch_auction_wrapped())
 
                 # Add bid history fetch if we have lot_uuid and expect bids
                 if lot_uuid:
                     task_map['bid_history'] = len(api_tasks)
-                    api_tasks.append(fetch_bid_history(lot_uuid))
+                    async def fetch_bid_history_wrapped():
+                        t0 = time.time()
+                        data = await fetch_bid_history(lot_uuid)
+                        dt = int((time.time() - t0) * 1000)
+                        size_b = None
+                        try:
+                            if data is not None:
+                                import json as _json
+                                size_b = len(_json.dumps(data).encode('utf-8'))
+                        except Exception:
+                            size_b = None
+                        lot_progress.add_event(
+                            kind='rest',
+                            label='REST bid history',
+                            size_bytes=size_b,
+                            cached='realtime',
+                            duration_ms=dt
+                        )
+                        return data
+                    api_tasks.append(fetch_bid_history_wrapped())
 
                 # Execute all API calls concurrently
+                # Always include the bidding data as first task
+                async def fetch_bidding_wrapped():
+                    t0 = time.time()
+                    data = await fetch_lot_bidding_data(lot_id)
+                    dt = int((time.time() - t0) * 1000)
+                    size_b = None
+                    try:
+                        if data is not None:
+                            import json as _json
+                            size_b = len(_json.dumps(data).encode('utf-8'))
+                    except Exception:
+                        size_b = None
+                    lot_progress.add_event(
+                        kind='graphql',
+                        label='GraphQL lotDetails',
+                        size_bytes=size_b,
+                        cached='realtime',
+                        duration_ms=dt
+                    )
+                    return data
+
+                api_tasks.insert(0, fetch_bidding_wrapped())
+                # Adjust task_map indexes
+                for k in list(task_map.keys()):
+                    task_map[k] += 1 if k != 'bidding' else 0
+
                 results = await asyncio.gather(*api_tasks, return_exceptions=True)
-                bidding_data = results[task_map['bidding']] if results and not isinstance(results[task_map['bidding']], Exception) else None
+                bidding_data = results[0] if results and not isinstance(results[0], Exception) else None
 
                 # Store raw API JSON for offline replay
                 if bidding_data:
@@ -628,6 +761,12 @@ class TroostwijkScraper:
                     else:
                         print(f"    All {len(images)} images already cached")
 
+            # Stop and print progress summary for the lot
+            try:
+                lot_progress.stop()
+            except Exception:
+                pass
+
         return page_data
 
     def _prioritize_lots(self, lot_urls: List[str]) -> List[Tuple[int, str, str]]: