# DOM parsing Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/dom-parsing
> Markdown URL: https://aitinkerers.org/technologies/dom-parsing.md
> Technology record last updated: 2026-04-22T22:48:51Z
> Generated: 2026-09-21T14:43:09Z

DOM parsing converts an HTML or XML source code string into a structured, in-memory Document Object Model (DOM) tree, enabling programmatic access and manipulation.

DOM parsing is the critical process where a browser or application transforms raw markup (like an HTML file) into a hierarchical tree structure: the DOM. This tree consists of interconnected nodes—elements, attributes, and text—that represent the document’s content and structure. For example, the JavaScript `DOMParser.parseFromString()` method or setting `Element.innerHTML` triggers this mechanism. Once parsed, developers leverage the DOM API to efficiently traverse, modify, or extract data from specific nodes, such as targeting an element by its ID or class for dynamic updates.

- Official technology site: https://developer.mozilla.org/en-US/docs/Web/API/DOMParser
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Browsing the web with AI](https://toronto.aitinkerers.org/talks/rsvp_mtJyKffdKIM)

Web scraping is broken. Companies spend millions maintaining brittle scrapers while developers waste countless hours rebuilding the same solutions. The emergence of powerful vision-language models (VLMs) and LLMs creates an opportunity to revolutionize this space. I'll demonstrate a novel architecture that combines: - Microsoft VLM for visual understanding and DOM parsing - Claude for reasoning and task planning - Selenium for browser automation - Custom prompt engineering for reliable structured output We'll explore: - Why traditional scrapers fail - How VLMs understand web interfaces - Prompt engineering for reliable agents - Live demo: Flight price comparison - Challenges in hallucination prevention - Open source architecture decisions Key technical innovations: - Vision-guided DOM traversal - RAG memory during browsing - Structured data extraction This project started from personal frustration with repetitive research tasks. The goal: make web automation accessible to everyone while being reliable enough for production use. Live demo will showcase the agent finding flight prices and returning structured JSON - all without human intervention.

- Event context: AI Tinkerers Toronto - January 2025 Meetup at Google **sold out** — 2025-01-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_mtJyKffdKIM

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