Scraping SERP Features for 2026 SEO Audits: PAA, Snippets, AIO

Google’s search results page in 2026 is less a list of ten blue links and more a structured data exhibit — and if your SEO audit tooling only tracks position and CTR, you’re flying blind. Scraping SERP features for 2026 SEO audits means capturing People Also Ask boxes, featured snippets, and AI Overviews (AIO) at scale, correlating them with your keyword set, and surfacing where competitors are eating your visibility without touching your rankings.

Why SERP Feature Coverage Matters More Than Rank

A keyword ranking #3 with a featured snippet above it can have 40-60% lower CTR than the same rank without one. AI Overviews, now appearing on roughly 25-30% of informational queries in English, suppress organic clicks even further. Tracking rank alone misses this completely.

What you actually need to track per keyword:

• Featured snippet: present/absent, your domain vs competitor
• PAA: how many boxes, which questions, whose content is cited
• AIO: present/absent, your brand mentioned in the summary
• Local pack, shopping carousel, video results (secondary, but flag them)

If you’re pulling competitive ad intelligence alongside this, Scraping Competitor Ad Libraries: Meta, Google, TikTok in 2026 covers the parallel workflow for paid visibility.

Extracting PAA and Featured Snippets: Technical Approach

Google’s SERP HTML is rendered client-side for most enriched features. A raw HTTP request gets you the initial SSR payload, but PAA boxes lazy-load on interaction. You have two practical options: scrape the SSR JSON blobs embedded in