- Import both v1.0.0 and v1.1.0 scraper versions
- Add SCRAPER_VERSIONS registry mapping version strings to functions
- Add get_scraper_for_version() to route based on job metadata
- Default to v1.1.0 (multi-sort) for new jobs
- Frontend can select specific version via scraper_version parameter
- Validation endpoint continues using v1.0.0 for speed
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Phase 5 - Main Dashboard:
- Dashboard overview page with system health stats
- Jobs by status breakdown, success rates, top clients
- Dashboard API (/api/dashboard/overview, by-client, problems, by-version)
Phase 6 - Admin/Scraper Management:
- Scrapers management page with traffic allocation UI
- Admin API for scraper CRUD operations
- Traffic percentage updates for A/B testing
- Promote/deprecate scraper versions
Phase 7 - Authentication:
- API key authentication middleware
- SHA-256 key hashing (keys never stored in plain text)
- Scope-based authorization (jobs:read, jobs:write, admin)
- Rate limiting per API key
Also:
- Updated api_server_production.py to include new routers
- Extended core/database.py with dashboard query methods
- Added dashboard link to sidebar navigation
- Updated CONTEXT-KEEPER.md to mark all phases complete
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Transfer user's browser fingerprint (user-agent, viewport, timezone,
language, geolocation) to Chrome for more authentic scraping
- Display review topics from Google Maps in analytics dashboard
- Show business category badge in analytics header
- Fix date_text null handling in analytics (handle undefined/timestamp fields)
- Add review_topics and business_category to JobStatus interface
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replaces fast_scraper validation with efficient polling-based extraction
using the same navigation pattern as scrape_reviews:
- 10ms polling for consent handling (no fixed waits)
- 100ms polling for data extraction
- Exits early when data found
Supports multiple languages:
- Rating: stars/estrellas/étoiles/sterne/stelle
- Reviews: reviews/reseñas/avis/bewertungen/recensioni
- Handles comma decimals (4,8 -> 4.8)
Result: 6.3s to extract name, address, rating, total_reviews
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Import fast_scrape_reviews from scraper_clean instead of fast_scraper
- Keeps helper functions (check_reviews_available, get_business_card_info) from fast_scraper
- Production now uses clean scraper with hard refresh recovery
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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>
