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
613
api_server_production.py
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613
api_server_production.py
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@@ -0,0 +1,613 @@
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#!/usr/bin/env python3
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"""
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Production Google Reviews Scraper API Server with Phase 1 features:
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- PostgreSQL storage with JSONB
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- Webhook delivery with retries
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- Smart health checks with canary testing
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"""
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import asyncio
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import logging
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import os
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from contextlib import asynccontextmanager
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from typing import Optional, List, Dict, Any
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from uuid import UUID
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from fastapi import FastAPI, HTTPException, Query, Header
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel, HttpUrl, Field
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from fastapi.responses import JSONResponse
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from modules.database import DatabaseManager, JobStatus
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from modules.webhooks import WebhookDispatcher, WebhookManager
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from modules.health_checks import HealthCheckSystem
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from modules.fast_scraper import fast_scrape_reviews, check_reviews_available, get_business_card_info
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from modules.chrome_pool import (
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start_worker_pools,
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stop_worker_pools,
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get_validation_worker,
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release_validation_worker,
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get_scraping_worker,
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release_scraping_worker,
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get_pool_stats
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)
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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log = logging.getLogger("api_server")
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# Global instances
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db: Optional[DatabaseManager] = None
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webhook_dispatcher: Optional[WebhookDispatcher] = None
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health_system: Optional[HealthCheckSystem] = None
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# Concurrent job limiter (prevent too many Chrome instances)
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MAX_CONCURRENT_JOBS = int(os.getenv('MAX_CONCURRENT_JOBS', '5'))
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job_semaphore = asyncio.Semaphore(MAX_CONCURRENT_JOBS)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Lifespan context manager for startup and shutdown"""
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global db, webhook_dispatcher, health_system
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# Startup
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log.info("Starting Google Reviews Scraper API Server (Production)")
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# Get database URL from environment
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database_url = os.getenv(
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'DATABASE_URL',
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'postgresql://scraper:scraper@localhost:5432/scraper'
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)
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# Initialize database
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db = DatabaseManager(database_url)
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await db.connect()
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await db.initialize_schema()
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log.info("Database initialized")
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# Initialize health check system with canary monitoring
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# DISABLED: Canary tests consume Google Maps requests and trigger rate limiting
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# health_system = HealthCheckSystem(db)
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# await health_system.start()
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log.info("Health check system DISABLED (canary tests disabled to avoid rate limiting)")
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# Initialize webhook dispatcher
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webhook_dispatcher = WebhookDispatcher(db, interval_seconds=30)
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asyncio.create_task(webhook_dispatcher.start())
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log.info("Webhook dispatcher started")
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# Start Chrome worker pools (1 for validation, 2 for scraping)
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# These pre-warm Chrome instances for instant availability
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await asyncio.to_thread(
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start_worker_pools,
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validation_size=1,
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scraping_size=2,
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headless=True
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)
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log.info("Chrome worker pools started (1 validation + 2 scraping)")
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yield
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# Shutdown
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log.info("Shutting down Google Reviews Scraper API Server")
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if webhook_dispatcher:
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webhook_dispatcher.stop()
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# if health_system:
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# health_system.stop()
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# Stop worker pools
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await asyncio.to_thread(stop_worker_pools)
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log.info("Chrome worker pools stopped")
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if db:
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await db.disconnect()
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# Initialize FastAPI app
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app = FastAPI(
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title="Google Reviews Scraper API - Production",
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description="Production-ready REST API for Google Maps review scraping with webhooks and health monitoring",
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version="2.0.0",
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lifespan=lifespan
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)
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Configure for production
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# ==================== Request/Response Models ====================
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class ScrapeRequest(BaseModel):
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"""Request model for starting a scrape job"""
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url: HttpUrl = Field(..., description="Google Maps URL to scrape")
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webhook_url: Optional[HttpUrl] = Field(None, description="Webhook URL for async notifications")
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webhook_secret: Optional[str] = Field(None, description="Secret for webhook HMAC signature")
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metadata: Optional[Dict[str, Any]] = Field(None, description="Optional custom metadata")
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class JobResponse(BaseModel):
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"""Response model for job information"""
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job_id: str
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status: str
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url: str
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created_at: str
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started_at: Optional[str] = None
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completed_at: Optional[str] = None
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reviews_count: Optional[int] = None
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total_reviews: Optional[int] = None # Total reviews available for this place
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scrape_time: Optional[float] = None
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error_message: Optional[str] = None
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webhook_url: Optional[str] = None
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class ReviewsResponse(BaseModel):
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"""Response model for reviews data"""
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job_id: str
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reviews: List[Dict[str, Any]]
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count: int
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class StatsResponse(BaseModel):
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"""Response model for statistics"""
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total_jobs: int
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pending: int
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running: int
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completed: int
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failed: int
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cancelled: int
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avg_scrape_time: Optional[float] = None
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total_reviews: Optional[int] = None
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# ==================== API Endpoints ====================
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@app.get("/", summary="API Health Check")
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async def root():
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"""Basic health check endpoint"""
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return {
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"message": "Google Reviews Scraper API (Production)",
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"status": "healthy",
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"version": "2.0.0",
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"features": ["postgresql", "webhooks", "canary-testing"]
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}
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@app.post("/scrape", response_model=Dict[str, str], summary="Start Scraping Job")
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async def start_scrape(request: ScrapeRequest):
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"""
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Start a new scraping job.
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The job runs asynchronously in the background. You can:
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- Poll GET /jobs/{job_id} for status
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- Provide webhook_url for automatic notification when complete
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Returns the job ID for tracking.
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"""
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if not db:
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raise HTTPException(status_code=500, detail="Database not initialized")
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try:
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# Create job in database
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job_id = await db.create_job(
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url=str(request.url),
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webhook_url=str(request.webhook_url) if request.webhook_url else None,
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webhook_secret=request.webhook_secret,
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metadata=request.metadata
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)
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# Start scraping job in background
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asyncio.create_task(run_scraping_job(job_id))
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log.info(f"Created and started job {job_id}")
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return {
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"job_id": str(job_id),
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"status": "started",
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"message": "Scraping job started successfully"
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}
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except Exception as e:
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log.error(f"Error creating scraping job: {e}")
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raise HTTPException(status_code=500, detail=f"Failed to create scraping job: {str(e)}")
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@app.get("/jobs/{job_id}", response_model=JobResponse, summary="Get Job Status")
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async def get_job(job_id: UUID):
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"""Get detailed information about a specific job"""
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if not db:
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raise HTTPException(status_code=500, detail="Database not initialized")
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job = await db.get_job(job_id)
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if not job:
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raise HTTPException(status_code=404, detail="Job not found")
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return JobResponse(
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job_id=str(job['job_id']),
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status=job['status'],
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url=job['url'],
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created_at=job['created_at'].isoformat(),
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started_at=job['started_at'].isoformat() if job['started_at'] else None,
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completed_at=job['completed_at'].isoformat() if job['completed_at'] else None,
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reviews_count=job['reviews_count'],
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scrape_time=job['scrape_time'],
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error_message=job['error_message'],
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webhook_url=job.get('webhook_url')
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)
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@app.get("/jobs/{job_id}/reviews", response_model=ReviewsResponse, summary="Get Job Reviews")
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async def get_job_reviews(job_id: UUID):
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"""
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Get the actual reviews data for a completed job.
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Returns 404 if job not found or not completed yet.
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"""
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if not db:
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raise HTTPException(status_code=500, detail="Database not initialized")
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reviews = await db.get_job_reviews(job_id)
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if reviews is None:
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job = await db.get_job(job_id)
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if not job:
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raise HTTPException(status_code=404, detail="Job not found")
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elif job['status'] != 'completed':
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raise HTTPException(
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status_code=400,
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detail=f"Job not completed yet (current status: {job['status']})"
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)
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else:
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raise HTTPException(status_code=404, detail="Reviews data not available")
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return ReviewsResponse(
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job_id=str(job_id),
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reviews=reviews,
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count=len(reviews)
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)
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@app.get("/jobs", response_model=List[JobResponse], summary="List Jobs")
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async def list_jobs(
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status: Optional[str] = Query(None, description="Filter by job status"),
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limit: int = Query(100, description="Maximum number of jobs to return", ge=1, le=1000),
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offset: int = Query(0, description="Number of jobs to skip", ge=0)
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):
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"""List all jobs, optionally filtered by status"""
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if not db:
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raise HTTPException(status_code=500, detail="Database not initialized")
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# Validate status if provided
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job_status = None
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if status:
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try:
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job_status = JobStatus(status.lower())
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except ValueError:
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raise HTTPException(
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status_code=400,
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detail=f"Invalid status. Must be one of: {[s.value for s in JobStatus]}"
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)
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jobs = await db.list_jobs(status=job_status, limit=limit, offset=offset)
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return [
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JobResponse(
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job_id=str(job['job_id']),
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status=job['status'],
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url=job['url'],
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created_at=job['created_at'].isoformat(),
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completed_at=job['completed_at'].isoformat() if job.get('completed_at') else None,
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reviews_count=job.get('reviews_count'),
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scrape_time=job.get('scrape_time'),
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error_message=job.get('error_message')
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)
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for job in jobs
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]
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@app.delete("/jobs/{job_id}", summary="Delete Job")
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async def delete_job(job_id: UUID):
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"""Delete a job from the system"""
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if not db:
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raise HTTPException(status_code=500, detail="Database not initialized")
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deleted = await db.delete_job(job_id)
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if not deleted:
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raise HTTPException(status_code=404, detail="Job not found")
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return {"message": "Job deleted successfully"}
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@app.post("/check-reviews", summary="Check if Reviews Exist")
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async def check_reviews(request: ScrapeRequest):
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"""
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Get business card information from Google Maps.
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Returns business name, address, rating, and review count.
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Uses pre-warmed Chrome worker from pool for instant response.
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This is used to show the business confirmation card in the UI.
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"""
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worker = None
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recycle_worker = False
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try:
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url = str(request.url)
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# Get pre-warmed worker from validation pool
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worker = await asyncio.to_thread(get_validation_worker, timeout=10)
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if worker:
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log.info(f"Using worker {worker.worker_id} for business card extraction")
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# Use the pooled worker (don't close it)
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result = await asyncio.to_thread(
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get_business_card_info,
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url=url,
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driver=worker.driver,
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return_driver=True
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)
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# Check if the result indicates a session error
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if not result['success'] and result.get('error'):
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error_msg = result.get('error', '').lower()
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if 'invalid session' in error_msg or 'session' in error_msg:
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log.warning(f"Worker {worker.worker_id} has invalid session, will recycle")
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recycle_worker = True
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else:
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# Fallback: create temporary worker
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log.warning("No pooled worker available, creating temporary instance")
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result = await asyncio.to_thread(
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get_business_card_info,
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url=url
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)
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# SIMPLIFIED VALIDATION: If we found a business (name + rating), assume it has reviews
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# Let the actual scraper determine if reviews exist
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has_business = result.get('name') and result.get('rating')
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return {
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"has_reviews": has_business, # Assume true if business exists
|
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"total_reviews": result['total_reviews'] or 0, # Show 0 if unknown
|
||||
"name": result.get('name'),
|
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"address": result.get('address'),
|
||||
"rating": result.get('rating'),
|
||||
"success": result['success'],
|
||||
"error": result.get('error')
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
log.error(f"Error checking reviews: {e}")
|
||||
# If it's a session error, recycle the worker
|
||||
if worker:
|
||||
error_msg = str(e).lower()
|
||||
if 'invalid session' in error_msg or 'session' in error_msg:
|
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recycle_worker = True
|
||||
|
||||
return {
|
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"has_reviews": False,
|
||||
"review_count": 0,
|
||||
"success": False,
|
||||
"error": str(e)
|
||||
}
|
||||
finally:
|
||||
# Release worker back to pool (or recycle if broken)
|
||||
if worker:
|
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await asyncio.to_thread(release_validation_worker, worker, recycle=recycle_worker)
|
||||
|
||||
|
||||
@app.get("/stats", response_model=StatsResponse, summary="Get Statistics")
|
||||
async def get_stats():
|
||||
"""Get job statistics"""
|
||||
if not db:
|
||||
raise HTTPException(status_code=500, detail="Database not initialized")
|
||||
|
||||
stats = await db.get_stats()
|
||||
return StatsResponse(**stats)
|
||||
|
||||
|
||||
@app.get("/pool-stats", summary="Get Worker Pool Statistics")
|
||||
async def pool_stats():
|
||||
"""Get Chrome worker pool statistics"""
|
||||
return await asyncio.to_thread(get_pool_stats)
|
||||
|
||||
|
||||
# ==================== Health Check Endpoints ====================
|
||||
|
||||
@app.get("/health/live", summary="Liveness Probe")
|
||||
async def liveness():
|
||||
"""
|
||||
Liveness check: Is the server alive?
|
||||
|
||||
Use this for Kubernetes liveness probe - restart container if fails.
|
||||
"""
|
||||
if not health_system:
|
||||
raise HTTPException(status_code=503, detail="Health system not initialized")
|
||||
|
||||
return await health_system.check_liveness()
|
||||
|
||||
|
||||
@app.get("/health/ready", summary="Readiness Probe")
|
||||
async def readiness():
|
||||
"""
|
||||
Readiness check: Can the server handle traffic?
|
||||
|
||||
Use this for Kubernetes readiness probe - remove from load balancer if fails.
|
||||
"""
|
||||
if not health_system:
|
||||
raise HTTPException(status_code=503, detail="Health system not initialized")
|
||||
|
||||
result = await health_system.check_readiness()
|
||||
|
||||
if result["status"] != "ready":
|
||||
return JSONResponse(status_code=503, content=result)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@app.get("/health/canary", summary="Canary Health Check")
|
||||
async def canary():
|
||||
"""
|
||||
Canary check: Does scraping actually work?
|
||||
|
||||
Returns the latest canary test result (runs every 4 hours in background).
|
||||
Use this for external monitoring (PagerDuty, DataDog) - alerts if fails.
|
||||
"""
|
||||
if not health_system:
|
||||
raise HTTPException(status_code=503, detail="Health system not initialized")
|
||||
|
||||
result = await health_system.check_canary()
|
||||
|
||||
if result["status"] not in ["healthy", "unknown"]:
|
||||
return JSONResponse(status_code=503, content=result)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@app.get("/health/detailed", summary="Detailed Health Status")
|
||||
async def detailed_health():
|
||||
"""Get detailed health status of all components"""
|
||||
if not health_system:
|
||||
raise HTTPException(status_code=503, detail="Health system not initialized")
|
||||
|
||||
return await health_system.get_detailed_health()
|
||||
|
||||
|
||||
# ==================== Background Job Runner ====================
|
||||
|
||||
async def run_scraping_job(job_id: UUID):
|
||||
"""
|
||||
Run scraping job in background with concurrency limit.
|
||||
|
||||
Args:
|
||||
job_id: Job UUID
|
||||
"""
|
||||
async with job_semaphore: # Limit concurrent Chrome instances
|
||||
try:
|
||||
# Update status to running
|
||||
await db.update_job_status(job_id, JobStatus.RUNNING)
|
||||
log.info(f"Starting scraping job {job_id}")
|
||||
|
||||
# Get job details
|
||||
job = await db.get_job(job_id)
|
||||
url = job['url']
|
||||
|
||||
# Get the event loop for progress updates from worker thread
|
||||
loop = asyncio.get_running_loop()
|
||||
|
||||
# Progress callback to update job status with current/total counts
|
||||
def progress_callback(current_count: int, total_count: int):
|
||||
"""Update job progress from worker thread"""
|
||||
async def update():
|
||||
await db.update_job_status(
|
||||
job_id,
|
||||
JobStatus.RUNNING,
|
||||
reviews_count=current_count,
|
||||
total_reviews=total_count
|
||||
)
|
||||
|
||||
# Schedule the coroutine on the event loop
|
||||
asyncio.run_coroutine_threadsafe(update(), loop)
|
||||
|
||||
# Run scraping with progress callback
|
||||
result = await asyncio.to_thread(
|
||||
fast_scrape_reviews,
|
||||
url=url,
|
||||
headless=True,
|
||||
progress_callback=progress_callback
|
||||
)
|
||||
|
||||
if result['success']:
|
||||
# Save results to database
|
||||
await db.save_job_result(
|
||||
job_id=job_id,
|
||||
reviews=result['reviews'],
|
||||
scrape_time=result['time'],
|
||||
total_reviews=result.get('total_reviews')
|
||||
)
|
||||
|
||||
log.info(
|
||||
f"Completed job {job_id}: {result['count']} reviews in {result['time']:.1f}s"
|
||||
)
|
||||
|
||||
# Send webhook if configured
|
||||
if job.get('webhook_url'):
|
||||
webhook_manager = WebhookManager()
|
||||
api_base_url = os.getenv('API_BASE_URL', 'http://localhost:8000')
|
||||
|
||||
await webhook_manager.send_job_completed_webhook(
|
||||
webhook_url=job['webhook_url'],
|
||||
job_id=job_id,
|
||||
status='completed',
|
||||
reviews_count=result['count'],
|
||||
scrape_time=result['time'],
|
||||
reviews_url=f"{api_base_url}/jobs/{job_id}/reviews",
|
||||
secret=job.get('webhook_secret'),
|
||||
db=db
|
||||
)
|
||||
|
||||
else:
|
||||
# Job failed
|
||||
await db.update_job_status(
|
||||
job_id,
|
||||
JobStatus.FAILED,
|
||||
error_message=result.get('error', 'Unknown error')
|
||||
)
|
||||
|
||||
log.error(f"Failed job {job_id}: {result.get('error')}")
|
||||
|
||||
# Send failure webhook if configured
|
||||
if job.get('webhook_url'):
|
||||
webhook_manager = WebhookManager()
|
||||
await webhook_manager.send_job_completed_webhook(
|
||||
webhook_url=job['webhook_url'],
|
||||
job_id=job_id,
|
||||
status='failed',
|
||||
error_message=result.get('error'),
|
||||
secret=job.get('webhook_secret'),
|
||||
db=db
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
log.error(f"Error in scraping job {job_id}: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
await db.update_job_status(
|
||||
job_id,
|
||||
JobStatus.FAILED,
|
||||
error_message=str(e)
|
||||
)
|
||||
|
||||
# Send failure webhook
|
||||
job = await db.get_job(job_id)
|
||||
if job and job.get('webhook_url'):
|
||||
webhook_manager = WebhookManager()
|
||||
await webhook_manager.send_job_completed_webhook(
|
||||
webhook_url=job['webhook_url'],
|
||||
job_id=job_id,
|
||||
status='failed',
|
||||
error_message=str(e),
|
||||
secret=job.get('webhook_secret'),
|
||||
db=db
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
|
||||
port = int(os.getenv('PORT', 8000))
|
||||
|
||||
log.info(f"Starting production server on port {port}...")
|
||||
uvicorn.run(
|
||||
"api_server_production:app",
|
||||
host="0.0.0.0",
|
||||
port=port,
|
||||
reload=False, # Disable reload in production
|
||||
log_level="info"
|
||||
)
|
||||
Reference in New Issue
Block a user