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
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API_QUICKSTART.md
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API_QUICKSTART.md
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# API Quick Start - Fast Google Reviews Scraper
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## ⚡ Ultra-Fast API (18.9 seconds!)
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REST API for scraping Google Maps reviews using the optimized DOM-only scraper.
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**Performance**: ~18.9 seconds for 244 reviews (8.2x faster than original!)
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---
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## 🚀 Quick Start
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### 1. Install & Run
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```bash
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# Install dependencies
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pip install fastapi uvicorn seleniumbase pyyaml
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# Start API server
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python api_server.py
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```
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Server starts on: `http://localhost:8000`
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### 2. Use the API
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```bash
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# Start a scraping job
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curl -X POST "http://localhost:8000/scrape" \
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-H "Content-Type: application/json" \
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-d '{
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"url": "https://www.google.com/maps/place/YOUR_BUSINESS_URL",
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"headless": true
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}'
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```
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**Response:**
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```json
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{
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"job_id": "550e8400-e29b-41d4-a716-446655440000",
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"status": "started"
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}
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```
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### 3. Check Status
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```bash
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# Check job status
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curl "http://localhost:8000/jobs/550e8400-e29b-41d4-a716-446655440000"
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```
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**Response:**
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```json
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{
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"status": "completed",
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"reviews_count": 244,
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"scrape_time": 18.9
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}
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```
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### 4. Get Reviews
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```bash
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# Get the actual reviews
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curl "http://localhost:8000/jobs/550e8400-e29b-41d4-a716-446655440000/reviews" \
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-o reviews.json
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```
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---
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## 📋 Key Endpoints
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/scrape` | POST | Start scraping job |
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| `/jobs/{job_id}` | GET | Get job status |
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| `/jobs/{job_id}/reviews` | GET | Get scraped reviews |
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| `/jobs` | GET | List all jobs |
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| `/stats` | GET | Get statistics |
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---
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## 💻 Python Example
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```python
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import requests
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import time
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# 1. Start job
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response = requests.post(
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"http://localhost:8000/scrape",
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json={
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"url": "https://www.google.com/maps/place/...",
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"headless": True
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}
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)
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job_id = response.json()['job_id']
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# 2. Wait for completion
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while True:
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job = requests.get(f"http://localhost:8000/jobs/{job_id}").json()
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if job['status'] in ['completed', 'failed']:
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break
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time.sleep(2)
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# 3. Get reviews
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reviews = requests.get(
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f"http://localhost:8000/jobs/{job_id}/reviews"
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).json()['reviews']
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print(f"Got {len(reviews)} reviews!")
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```
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---
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## 🧪 Test It
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```bash
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# Run the test script
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python test_fast_api.py
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```
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This will:
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- Start a job
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- Poll until complete
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- Save reviews to JSON
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- Show statistics
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---
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## 📚 Full Documentation
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See [API_DOCUMENTATION.md](API_DOCUMENTATION.md) for:
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- Complete endpoint reference
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- Advanced examples
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- Error handling
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- Production deployment
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- Monitoring & troubleshooting
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---
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## 🎯 API Features
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✅ **Ultra-fast scraping** (18.9s average)
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✅ **Background job processing** (non-blocking)
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✅ **Concurrent jobs** (up to 3 simultaneous)
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✅ **Job status tracking** (pending/running/completed)
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✅ **Review data retrieval** (via dedicated endpoint)
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✅ **Automatic cleanup** (removes old jobs)
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✅ **GDPR auto-handling** (no manual intervention)
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✅ **REST API** (language-agnostic)
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✅ **OpenAPI docs** (visit `/docs` for Swagger UI)
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---
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## 🔧 Configuration
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### API Server
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```python
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# In api_server.py
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job_manager = JobManager(max_concurrent_jobs=3) # Max parallel jobs
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uvicorn.run(
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"api_server:app",
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host="0.0.0.0", # Listen on all interfaces
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port=8000, # Port number
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reload=True # Auto-reload on code changes
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)
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```
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### Scraping Options
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```json
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{
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"url": "https://www.google.com/maps/place/...",
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"headless": true, // Run Chrome in headless mode
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"max_scrolls": 35 // Maximum scrolls (default: 35)
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}
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```
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---
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## 📊 Performance
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```
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Operation Time % of Total
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──────────────────────────────────────────────
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Scrolling (dynamic) ~14s 74%
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Setup & navigation ~4.5s 24%
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JavaScript extraction ~0.01s 0.1%
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──────────────────────────────────────────────
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TOTAL ~18.9s 100%
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```
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**8.2x faster than the original scraper!** 🚀
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---
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## 🌐 Interactive Documentation
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Visit `http://localhost:8000/docs` for:
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- Interactive API testing
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- Request/response schemas
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- Try out endpoints directly in browser
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---
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## ⚙️ What Changed?
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The API now uses the **fast DOM-only scraper** (`modules/fast_scraper.py`) instead of the old scraper:
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**Before**: 155 seconds ❌
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**Now**: 18.9 seconds ✅
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**Key optimizations**:
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1. GDPR consent auto-handling
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2. Dynamic scroll waiting (adapts to page speed)
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3. JavaScript extraction (40x faster than Selenium)
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4. Universal design (no hardcoded values)
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---
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**Ready to scrape at 8.2x speed via API!** 🚀
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