html5ever VS lol-html

Would you consider using some libraries in your project? There are lots of good ones in the Rust ecosystem, and many of them are not part of any existing browsers.

For example:

- https://github.com/servo/html5ever (HTML parsing - note: this is used in Servo)

- https://github.com/parcel-bundler/lightningcss (CSS parsing)

- https://github.com/DioxusLabs/taffy (web layout)

- https://github.com/pop-os/cosmic-text (text layout and rendering)

Obviously you should be free to work on whatever you like, but just as a benchmark on the scope of your project: I spent ~6 months implementing just the CSS Grid algorithm in Taffy last year. An entire browser from literal scratch is probably a 10 year project for one person.

So I'm doing some web scraping in Rust, and so I will need to parse HTML. [scraper](https://docs.rs/scraper/latest/scraper/) (which uses [html5ever](https://github.com/servo/html5ever)) is doing fine except that it's the bottleneck of my application.

So I need a faster parser. I've tried [tl](https://docs.rs/tl/latest/tl/) which would've been perfect except that it doesn't actually work on the HTML I have. When I try to `query_selector` the elements I need, it returns nothing.

[Kuchiki](https://docs.rs/kuchiki/latest/kuchiki/) is abandonded.

I couldn't figure out how to get [lol-html](https://github.com/cloudflare/lol-html) to work for me (it's designed for re-writing HTML, whatever that means). It doesn't seem to have an API to extract the inner text of an element.

[html5gum](https://github.com/untitaker/html5gum) seems to be just an HTML tokenizer, or otherwise just too low-level. I have not yet tried [quick-xml](https://github.com/tafia/quick-xml/) but judging from the README, it's pretty low-level too. I mean, if these are the only options left then I will try them. Otherwise, I would love to use a parser that's faster but as ergonomic as `scraper` or `tl`.

At this point, I would be happy with an Lxml bridge/port of some sort. I don't need to mutate HTML, just parse and read data from it.

See https://github.com/servo/html5ever/tree/master/rcdom for an example implementation to imitate.

So I'm doing some web scraping in Rust, and so I will need to parse HTML. [scraper](https://docs.rs/scraper/latest/scraper/) (which uses [html5ever](https://github.com/servo/html5ever)) is doing fine except that it's the bottleneck of my application.

So I need a faster parser. I've tried [tl](https://docs.rs/tl/latest/tl/) which would've been perfect except that it doesn't actually work on the HTML I have. When I try to `query_selector` the elements I need, it returns nothing.

[Kuchiki](https://docs.rs/kuchiki/latest/kuchiki/) is abandonded.

I couldn't figure out how to get [lol-html](https://github.com/cloudflare/lol-html) to work for me (it's designed for re-writing HTML, whatever that means). It doesn't seem to have an API to extract the inner text of an element.

[html5gum](https://github.com/untitaker/html5gum) seems to be just an HTML tokenizer, or otherwise just too low-level. I have not yet tried [quick-xml](https://github.com/tafia/quick-xml/) but judging from the README, it's pretty low-level too. I mean, if these are the only options left then I will try them. Otherwise, I would love to use a parser that's faster but as ergonomic as `scraper` or `tl`.

At this point, I would be happy with an Lxml bridge/port of some sort. I don't need to mutate HTML, just parse and read data from it.

I'm also in the Workers org but I have had a bit of interaction with Rust. There's some Rust in the Workers runtime using lol-html for HTMLRewriter as well as some tooling and there's the full blown workers-rs framework that I work on, but that's about it for the Rust I work on regularly.

Thanks again and happy to answer any questions! My current unreleased Rust projects include a web crawler that uses Tokio + Tokio Console + Reqwest with this crate for robots.txt and a fast text extraction library using lol-html that I am planning to sprinkle with some minimal ML to get Readability.js style intelligent extraction (with training in Python). See Fathom for an example of the ML approach I'll likely take.

I’d like to see a tool using lol-html [0] and their CSS selector API as a streaming HTML editor.

[0] https://github.com/cloudflare/lol-html

Cloudflare has open sourced lol-html, a "Low output latency streaming HTML parser/rewriter with CSS selector-based API". Is that what you are looking for?