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Solve Real Problems with Scavio

From LLM grounding to price monitoring to agent web access, see the specific problems Scavio solves for modern teams.

LLMs ship with a fixed knowledge cutoff. The moment a user asks about earnings from last week, a product that launched y

Running a scraper in 2026 means running a second company. You pick a residential proxy vendor, negotiate bandwidth, rota

Each platform has its own quirks. Google returns organic results alongside AI Overviews, Shopping, and Knowledge Graph.

Most SERP APIs were designed in 2018 for SEO dashboards, not for tool-using agents. They return HTML fragments, inconsis

Legacy SERP vendors price like it is still 2019. Entry plans start in the hundreds of dollars for tens of thousands of s

A typical scraping stack in 2026 looks like this: one vendor for Google SERP, a second for Amazon, a third for YouTube,

RAG pipelines are usually built around a vector store that was indexed from a corpus snapshot. That works beautifully fo

Agent frameworks make it easy to call a tool and hard to make that tool reliable. A browser-based tool is slow and flaky

Modern search pages render almost everything client-side. A curl against google.com returns barely enough HTML to identi

Google Search Console only shows data for domains you own and verify. It tells you nothing about how competitors rank, w

Amazon reveals a lot in its search and product pages, but only if you can parse it reliably. Seller identity on the Buy

The YouTube Data API is rate-limited, search results there often differ from what users actually see, and anything invol

Google's bot detection has become remarkably sophisticated. TLS fingerprints, header fidelity, mouse-motion telemetry, a

AI Overviews now dominate the top of many Google SERPs, and they are eating click-through rates for everything below the

Pulling product data from Amazon and Walmart at scale means juggling throughput, freshness, marketplace coverage, and le

Users no longer tolerate confident-sounding hallucinations. When an assistant cites a statistic that does not exist, att

Building a vertical search product used to mean crawling, indexing, ranking, and ranking-experimentation before you ship

Competitive intelligence teams spend most of their time gathering data and almost no time analyzing it. They watch compe

Reddit is where customers talk about your product without a PR filter. A single angry thread in a niche subreddit can ou

If you are building a product for developers, marketers, or crypto traders, the richest primary source is the subreddit

Most RAG pipelines pull from polished sources: blog posts, documentation, support articles. The result is answers that s

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