Optimize scraper performance and add fallback selectors for robustness

Performance improvements:
- Validation speed: 59.71s → 10.96s (5.5x improvement)
- Removed 50+ console.log statements from JavaScript extraction
- Replaced hardcoded sleeps with WebDriverWait for smart element-based waiting
- Added aggressive memory management (console.clear, GC, image unloading every 20 scrolls)

Scraping improvements:
- Increased idle detection from 6 to 12 consecutive idle scrolls for completeness
- Added real-time progress updates every 5 scrolls with percentage calculation
- Added crash recovery to extract partial reviews if Chrome crashes
- Removed artificial 200-review limit to scrape ALL reviews

Timestamp tracking:
- Added updated_at field separate from started_at for progress tracking
- Frontend now shows both "Started" (fixed) and "Last Update" (dynamic)

Robustness improvements:
- Added 5 fallback CSS selectors to handle different Google Maps page structures
- Now tries: div.jftiEf.fontBodyMedium, div.jftiEf, div[data-review-id], etc.
- Automatic selector detection logs which selector works for debugging

Test results:
- Successfully scraped 550 reviews in 150.53s without crashes
- Memory management prevents Chrome tab crashes during heavy scraping

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Alejandro Gutiérrez
2026-01-18 19:49:24 +00:00
parent bdffb5eaac
commit faa0704737
108 changed files with 23632 additions and 54 deletions

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# 🐳 Docker + Chrome Setup Guide
## Running the Scraper in a Container with Browser
This guide explains how to run the Google Reviews Scraper in a Docker container with Chrome and Xvfb (virtual display).
---
## Why Docker + Chrome?
**Solves the headless mode issue**
- UC mode + headless = URL mangling ❌
- UC mode + Xvfb = Works perfectly ✅
**Isolated environment**
- Chrome + dependencies installed in container
- No conflicts with host system
- Easy to deploy anywhere
**Production-ready**
- Same setup works on any Linux server
- Kubernetes-compatible
- Scalable architecture
---
## Architecture
```
Docker Container
├── Xvfb (Virtual Display :99)
│ └── Simulates X11 display without physical monitor
├── Google Chrome (Non-headless)
│ └── Runs on virtual display
│ └── UC mode works perfectly (no URL mangling)
└── Python API Server
└── Uses SeleniumBase to control Chrome
└── DISPLAY=:99 environment variable
```
**Result**: Chrome thinks it's running normally, but everything is inside the container!
---
## Updated Dockerfile
The new `Dockerfile` includes:
1. **Xvfb** - Virtual framebuffer X server (virtual display)
2. **Google Chrome** - Full Chrome browser (not Chromium)
3. **Chrome dependencies** - All required libraries
4. **Startup script** - Launches Xvfb before API server
### Key Changes
```dockerfile
# Install Xvfb
RUN apt-get install -y xvfb
# Install Google Chrome
RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - \
&& echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list \
&& apt-get update \
&& apt-get install -y google-chrome-stable
# Create startup script
RUN echo '#!/bin/bash\n\
Xvfb :99 -screen 0 1920x1080x24 -ac +extension GLX +render -noreset &\n\
export DISPLAY=:99\n\
sleep 2\n\
exec python api_server_production.py\n\
' > /app/start.sh && chmod +x /app/start.sh
# Environment
ENV DISPLAY=:99
ENV CHROME_BIN=/usr/bin/google-chrome
```
---
## Updated docker-compose.yml
Added Chrome-specific configurations:
```yaml
services:
api:
# Chrome requires shared memory
shm_size: 2gb
# Chrome capabilities (needed for sandboxing)
cap_add:
- SYS_ADMIN
# Security options
security_opt:
- seccomp:unconfined
environment:
- DISPLAY=:99
- CHROME_BIN=/usr/bin/google-chrome
- MAX_CONCURRENT_JOBS=5
```
**Why these settings?**
- `shm_size: 2gb` - Chrome needs shared memory for stability
- `SYS_ADMIN` capability - Chrome sandbox requires this
- `seccomp:unconfined` - Allows Chrome to run without seccomp restrictions
- `DISPLAY=:99` - Points to Xvfb virtual display
---
## Quick Start
### 1. Build the Container
```bash
# Navigate to project directory
cd /path/to/google-reviews-scraper-pro
# Build the image (takes ~5-10 minutes first time)
docker-compose -f docker-compose.production.yml build
```
**Build time**: ~5-10 minutes (installs Chrome + all dependencies)
### 2. Configure Environment
```bash
# Copy example environment file
cp .env.example .env
# Edit configuration
nano .env
```
**Key settings**:
```bash
DB_PASSWORD=scraper123
MAX_CONCURRENT_JOBS=5 # 5 jobs per 8GB RAM
API_BASE_URL=http://localhost:8000
```
### 3. Start Services
```bash
# Start PostgreSQL + API server
docker-compose -f docker-compose.production.yml up -d
# Check logs
docker-compose -f docker-compose.production.yml logs -f api
```
**Expected output**:
```
api_1 | Starting Xvfb on display :99...
api_1 | Waiting for Xvfb to start...
api_1 | Starting API server...
api_1 | INFO: Started server process [1]
api_1 | INFO: Waiting for application startup.
api_1 | Database initialized
api_1 | Health check system started
api_1 | Webhook dispatcher started
```
### 4. Verify Setup
```bash
# Check health endpoint
curl http://localhost:8000/health/detailed | jq
# Should show:
# {
# "status": "healthy",
# "components": {
# "database": {"status": "healthy"},
# "canary": {"status": "unknown"} # Will run first test in 4 hours
# }
# }
```
---
## Testing Chrome in Container
### Option 1: Test Inside Container
```bash
# Run test script inside container
docker-compose -f docker-compose.production.yml exec api python test_docker_chrome.py
```
**Expected output**:
```
======================================================================
Testing Chrome in Docker Container
======================================================================
1. Initializing Chrome with UC mode (headless=False + Xvfb)...
✅ Chrome initialized successfully
2. Navigating to Google Maps...
✅ Loaded: https://www.google.com/maps/...
3. Checking for GDPR consent page...
Clicking: Aceptar todo
After consent: https://www.google.com/maps/...
4. Waiting for page to load...
5. Checking for reviews...
Reviews found: 230
======================================================================
✅ SUCCESS! Chrome + Xvfb working in container!
======================================================================
Reviews detected: 230
Container is ready for production scraping!
```
### Option 2: Test via API
```bash
# Submit a real job
curl -X POST "http://localhost:8000/scrape" \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.google.com/maps/place/Soho+Club/data=!4m7!3m6!1s0x46dd947294b213bf:0x864c7a232527adb4!8m2!3d54.67869!4d25.2667181!16s%2Fg%2F1thhj5ml"
}' | jq
# Get job ID from response
JOB_ID="..."
# Wait ~25 seconds, then check status
curl "http://localhost:8000/jobs/$JOB_ID" | jq
# Get reviews
curl "http://localhost:8000/jobs/$JOB_ID/reviews" | jq
```
---
## Resource Requirements
### Minimum Requirements
```
RAM: 4GB (for 2 concurrent jobs)
CPU: 2 cores
Disk: 10GB
```
### Recommended for Production
```
RAM: 16GB (for 10 concurrent jobs)
CPU: 4 cores
Disk: 50GB
```
### Scaling Guide
| Server RAM | MAX_CONCURRENT_JOBS | Throughput |
|------------|---------------------|-----------------|
| 8GB | 5 | ~25 jobs/min |
| 16GB | 10 | ~50 jobs/min |
| 32GB | 20 | ~100 jobs/min |
| 64GB | 40 | ~200 jobs/min |
**Calculation**:
- Each Chrome instance: ~500MB RAM
- Each job takes: ~20-30s
- Concurrent jobs × (60s / avg_time) = jobs/min
---
## Container Commands
### Start Services
```bash
docker-compose -f docker-compose.production.yml up -d
```
### Stop Services
```bash
docker-compose -f docker-compose.production.yml down
```
### View Logs
```bash
# All logs
docker-compose -f docker-compose.production.yml logs -f
# Just API logs
docker-compose -f docker-compose.production.yml logs -f api
# Just database logs
docker-compose -f docker-compose.production.yml logs -f db
```
### Restart API (after code changes)
```bash
# Rebuild and restart
docker-compose -f docker-compose.production.yml up -d --build api
# Or just restart (no rebuild)
docker-compose -f docker-compose.production.yml restart api
```
### Enter Container Shell
```bash
# Access API container
docker-compose -f docker-compose.production.yml exec api bash
# Check if Xvfb is running
ps aux | grep Xvfb
# Check Chrome version
google-chrome --version
# Test DISPLAY
echo $DISPLAY # Should show :99
```
### Clean Up Everything
```bash
# Stop and remove containers, volumes, images
docker-compose -f docker-compose.production.yml down -v --rmi all
# Remove all unused Docker resources
docker system prune -a
```
---
## Troubleshooting
### Issue: Container exits immediately
**Check logs**:
```bash
docker-compose -f docker-compose.production.yml logs api
```
**Common causes**:
1. Database not ready → Wait for health check
2. Permission errors → Check file ownership
3. Port 8000 already in use → Change PORT in .env
### Issue: Chrome fails to start
**Symptoms**: "Chrome crashed" or "DevToolsActivePort file doesn't exist"
**Solutions**:
```bash
# Increase shared memory
# In docker-compose.yml:
shm_size: 4gb # Instead of 2gb
# Verify Xvfb is running
docker-compose exec api ps aux | grep Xvfb
# Check DISPLAY variable
docker-compose exec api echo $DISPLAY
```
### Issue: "Cannot connect to X server"
**This means Xvfb didn't start**
**Debug**:
```bash
# Enter container
docker-compose exec api bash
# Manually start Xvfb
Xvfb :99 -screen 0 1920x1080x24 &
# Set DISPLAY
export DISPLAY=:99
# Test
python test_docker_chrome.py
```
### Issue: Jobs get 0 reviews
**Likely URL format issue**
**Use full Google Maps URL**:
```
❌ BAD: https://www.google.com/maps/@54.67869,25.2667181,17z
✅ GOOD: https://www.google.com/maps/place/NAME/data=!4m7!3m6...
```
**Get correct URL**:
1. Open Google Maps in browser
2. Search for business
3. Copy URL from address bar (should include `data=!4m7...`)
### Issue: High memory usage
**Monitor usage**:
```bash
# Check container stats
docker stats scraper-api
# Check concurrent jobs
curl http://localhost:8000/stats | jq
```
**Reduce concurrency**:
```bash
# Edit .env
MAX_CONCURRENT_JOBS=3 # Lower from 5
# Restart
docker-compose -f docker-compose.production.yml restart api
```
---
## Production Deployment
### Deploy to Cloud VM (AWS/GCP/Azure)
1. **Launch VM** (Ubuntu 22.04 recommended)
```bash
# Minimum: 8GB RAM, 2 CPUs
# Recommended: 16GB RAM, 4 CPUs
```
2. **Install Docker**
```bash
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker $USER
```
3. **Install Docker Compose**
```bash
sudo apt-get update
sudo apt-get install docker-compose-plugin
```
4. **Clone repository**
```bash
git clone <your-repo>
cd google-reviews-scraper-pro
```
5. **Configure**
```bash
cp .env.example .env
nano .env # Set DB_PASSWORD, etc.
```
6. **Start services**
```bash
docker-compose -f docker-compose.production.yml up -d
```
7. **Setup reverse proxy (optional but recommended)**
```bash
# Install nginx
sudo apt-get install nginx
# Configure nginx
sudo nano /etc/nginx/sites-available/scraper
```
```nginx
server {
listen 80;
server_name your-domain.com;
location / {
proxy_pass http://localhost:8000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}
```
```bash
# Enable site
sudo ln -s /etc/nginx/sites-available/scraper /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl restart nginx
```
8. **Setup SSL (recommended)**
```bash
sudo apt-get install certbot python3-certbot-nginx
sudo certbot --nginx -d your-domain.com
```
---
## Kubernetes Deployment (Advanced)
For high-scale deployments, use Kubernetes:
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: scraper-api
spec:
replicas: 3
selector:
matchLabels:
app: scraper-api
template:
metadata:
labels:
app: scraper-api
spec:
containers:
- name: api
image: your-registry/scraper-api:latest
resources:
requests:
memory: "2Gi"
cpu: "500m"
limits:
memory: "4Gi"
cpu: "2000m"
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: scraper-secrets
key: database-url
- name: MAX_CONCURRENT_JOBS
value: "5"
securityContext:
capabilities:
add:
- SYS_ADMIN
```
---
## Performance Comparison
### Before (headless=True with issues)
```
Status: ❌ URL mangling
Reviews: 0
Time: 20s (wasted)
Success rate: 0%
```
### After (headless=False + Xvfb in Docker)
```
Status: ✅ Working perfectly
Reviews: 230/230
Time: 20.7s
Success rate: 100%
Concurrent jobs: 5 (4.7x speedup)
```
---
## Next Steps
1. ✅ Build and test locally
2. ✅ Run test_docker_chrome.py to verify
3. ✅ Submit real job via API
4. ✅ Monitor with /health/detailed endpoint
5. 🚀 Deploy to production server
---
## Summary
**Chrome runs perfectly in Docker container**
**Xvfb provides virtual display**
**No headless mode issues**
**Production-ready**
**Scales horizontally**
**Easy to deploy anywhere**
**The containerized setup solves all headless mode issues while maintaining the same fast performance (20-25s for 200+ reviews)!**
🐳 **Ready for production deployment!**