# Batch Scanning & Rate Limiting ## Overview The prospecting module performs passive scans against prospect websites to gather intelligence. Batch operations process multiple prospects sequentially with a configurable delay between each. ## Scan Types | Type | What It Does | HTTP Requests/Prospect | |---|---|---| | **HTTP Check** | Connectivity, HTTPS, redirects | 2 (HTTP + HTTPS) | | **Tech Scan** | CMS, framework, server detection | 1 (homepage) | | **Performance** | PageSpeed Insights audit | 1 (Google API) | | **Contact Scrape** | Email, phone, address extraction | 6 (homepage + 5 subpages) | | **Security Audit** | Headers, SSL, exposed files, cookies | ~35 (homepage + 30 path checks) | | **Score Compute** | Calculate opportunity score | 0 (local computation) | ## Rate Limiting ### Configuration ```bash # .env PROSPECTING_BATCH_DELAY_SECONDS=1.0 # delay between prospects (default: 1s) PROSPECTING_HTTP_TIMEOUT=10 # per-request timeout (default: 10s) ``` ### Where Delays Apply - **Batch API endpoints** (`POST /enrichment/*/batch`) — 1s delay between prospects - **Celery background tasks** (`scan_tasks.py`) — same 1s delay - **Full enrichment** (`POST /enrichment/full/{id}`) — no delay (single prospect) - **Score compute batch** — no delay (no outbound HTTP) ### Scaling to 70k+ URLs For bulk imports (e.g., domain registrar list), use Celery tasks with limits: | Scan Type | Time per prospect | 70k URLs | Recommended Batch | |---|---|---|---| | HTTP Check | ~2s (timeout + delay) | ~39 hours | 500/batch via Celery | | Tech Scan | ~2s | ~39 hours | 500/batch | | Contact Scrape | ~12s (6 pages + delay) | ~10 days | 100/batch | | Security Audit | ~40s (35 paths + delay) | ~32 days | 50/batch | **Recommendation:** For 70k URLs, run HTTP Check first (fastest, filters out dead sites). Then run subsequent scans only on prospects with `has_website=True` (~50-70% of domains typically have working sites). ### Pipeline Order ``` 1. HTTP Check batch → sets has_website, filters dead domains 2. Tech Scan batch → only where has_website=True 3. Contact Scrape → only where has_website=True 4. Security Audit → only where has_website=True 5. Score Compute → all prospects (local, fast) ``` Each scan type uses `last_*_at` timestamps to track what's been processed. Re-running a batch only processes prospects that haven't been scanned yet. ## User-Agent All scans use a standard Chrome User-Agent: ``` Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 ``` The security audit also identifies as `OrionBot/1.0` in the contact scraper for transparency. ## Error Handling - Individual prospect failures don't stop the batch - Errors are logged but the next prospect continues - The scan job record tracks `processed_items` vs `total_items` - Celery tasks retry on failure (2 retries with exponential backoff)