AI SDR Infrastructure

A startup built their AI SDR on browser automation, spending $280/month on proxies, headless Chrome hosting, and CAPTCHA solving. The pipeline broke twice per month when LinkedIn updated their UI. They rebuilt on Scavio's search API: 3 Google queries per prospect, 100 prospects/day, $45/month total. Uptime went from 85% to 99.5%.

AI SDR Infrastructure is relevant to Google, Google Maps. Scavio provides a unified API to access data from all of these platforms.

AI SDR (Sales Development Representative) systems automate prospecting, research, and outreach. The infrastructure choice determines reliability and cost. Browser automation approach: use headless Chrome to visit LinkedIn, Google, and prospect websites. Costs include proxy services ($50-200/month), headless browser hosting ($20-100/month), and CAPTCHA solving ($20-50/month). Failure rate: 20-40% of requests blocked by anti-bot systems. When LinkedIn or Google changes their UI, selectors break and the pipeline stops. API-first approach: use search APIs for prospect research (Google for company data, Maps for local businesses). Costs: $0.005/credit per search query. Failure rate: under 1%. No proxy costs, no browser costs, no selector maintenance. For a pipeline processing 100 prospects per day (3 search queries each = 300 queries): browser automation costs roughly $5-10/day in infrastructure plus failure handling. API approach costs $1.50/day (300 x $0.005). Monthly comparison: browser automation = $150-300/month, API approach = $45/month. The API approach is also more reliable: 300 queries with 99%+ success rate means 298-300 successful researches per day vs 180-240 with browser automation. AI SDR platforms (11x, Ava, Artisan) charge $1,000-3,000/month. Building your own on API infrastructure costs $45-100/month in search data plus LLM costs.