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The Client
Our client is a residential-proxy / data-infrastructure provider — their product is a large pool of residential and datacenter exit IPs plus unblocking infrastructure. Their customers increasingly want the data those proxies unlock, delivered as clean structured content and usable by their own AI apps — not raw proxies they still have to build scrapers on.
The Client Request
The client needed a production web-data-extraction API on top of their network: give it any URL and get usable structured content back — LinkedIn, search engines, or arbitrary pages — without customers writing site-specific scrapers.
It also had to be AI-native: expose every capability to AI agents as callable tools, and add an LLM layer that pulls answers directly from AI chatbots.
And it had to run as a real product — sync and async (batch, crawl, search) jobs, retries, full observability, and a clean cloud deploy.
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Result
The result is a single production web-data-extraction API that turns the client's network into a data product: any URL or prompt in, clean structured content out (HTML, Markdown, JSON), with the target auto-detected and anti-bot handled transparently — no per-site scrapers.
It detects and adapts to the major commercial anti-bot systems — Cloudflare, DataDome, Akamai, PerimeterX, Imperva and the common CAPTCHA vendors — and keeps getting better on hard targets, improving success and speed without ever switching the proxy provider.
It ships as a real product: sync and async (batch, crawl, search) jobs on a worker queue, idempotent retries, full OpenTelemetry tracing/metrics/logs, and an automated cloud deploy. Client names and per-request numbers aren't published — capabilities are described from the shipped system.
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