lol-html
tq
Our great sponsors
| lol-html | tq | |
|---|---|---|
| 8 | 1 | |
| 1,390 | 234 | |
| 1.9% | - | |
| 5.7 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Rust | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lol-html
-
Ask HN: A fast, Rust HTML parser that works?
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.
-
How much Rust work is actually going on at Cloudflare?
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.
- Is there a library for manipulating HTML?
- pup: Parsing HTML at the Command Line
-
Texting Robots: Taming robots.txt with Rust and 34 million tests
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.
-
Like JQ, but for HTML
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
- Things you can’t do in Rust (and what to do instead)
-
Problems with building a backend app in Rust in 2020
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?
tq
-
Like JQ, but for HTML
It did write it a few years ago.
https://github.com/plainas/tq
What are some alternatives?
actor-rust-scraper - Experimental scraper in Rust suited for running locally or on the Apify platform. Inspired by Apify SDK.
hq - lightweight command line HTML processor using CSS and XPath selectors
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
pup - Parsing HTML at the command line
tools - all-in collection of productivity scripts, CLI tools, utility libraries, fuse filesystems, and also some stuff
cargo-expand - Subcommand to show result of macro expansion
jsoup - jsoup: the Java HTML parser, built for HTML editing, cleaning, scraping, and XSS safety.
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
google-images-download - Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!