Descriptions:
Fahd Mirza demonstrates a fully local AI web scraping pipeline built around Obscura, an open-source headless browser written in Rust, paired with a Qwen 3.6 27B model running through Ollama. The motivation is practical: JavaScript-heavy modern websites return nothing to plain HTTP requests, and the usual fix — headless Chrome via Puppeteer or Playwright — consumes over 200MB of RAM and takes seconds to initialize. Obscura handles real JavaScript execution through V8 in a single self-contained binary that uses roughly 30MB of memory and loads pages in approximately 85 milliseconds with no Node or Chrome dependency.
The tutorial walks through downloading and sanity-checking the Obscura binary on Ubuntu, scraping a live website into clean Markdown (producing 267 lines from a blog homepage in about 15 seconds), then piping that Markdown directly into Qwen 3.6 27B via the Ollama API for summarization — all on local hardware with no data leaving the machine. Mirza wraps the pipeline into a reusable shell script that accepts any URL as input.
The video also covers Obscura’s internal architecture: eight Rust crates organized in strict downward layers (CDP server → dispatcher → page handler → HTTP fetch, HTML parser, and V8 script runner), with all pages sharing a single-threaded V8 isolate serialized by a lock. Mirza notes that production deployments will need pre- and post-processing steps to strip headers and footers before feeding content to the model.
📺 Source: Fahd Mirza · Published August 14, 2026
🏷️ Format: Tutorial Demo
