Scraping search data is broken. How are you handling AI overviews and proxy maintenance in 2026?
Hey everyone,
While managing SEO and high-volume search data for my content agency and e-commerce brands, I kept hitting a massive infrastructure bottleneck. Legacy SERP APIs were insanely expensive for the volume I needed, and building in-house scraping pipelines meant burning through compute just to manage residential proxy pools and bypass CAPTCHAs.
Worse, traditional "10 blue links" SEO is rapidly changing. Tracking standard organic results isn't enough anymore—we now need to track if our domains are actually being cited in dynamically generated AI overviews.
That is exactly why I built Serpent API. I wanted to abstract the entire extraction layer into a simple REST endpoint that handles the headless routing and returns pristine JSON, including native AI citation tracking, priced for bootstrappers at $0.03/10k requests.
I would love to hear from other makers, marketers, and data engineers here:
Are you actively tracking your product's visibility within AI search summaries yet?
Are you still maintaining your own Puppeteer/Playwright clusters to get this data, or have you fully migrated to infrastructure APIs?
Would love to get your thoughts on our architecture and how we can make the JSON schema even more useful for your daily data pipelines!
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