https://github.com/dist1ll/hltv-rust

A client to fetch and parse data from HLTV.org
https://github.com/dist1ll/hltv-rust

api crawler hltv parser rust

Last synced: 22 days ago
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A client to fetch and parse data from HLTV.org

• Host: GitHub
• URL: https://github.com/dist1ll/hltv-rust
• Owner: dist1ll
• License: apache-2.0
• Created: 2022-01-18T01:01:29.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-30T18:41:55.000Z (almost 2 years ago)
• Last Synced: 2024-10-06T08:36:21.749Z (about 1 month ago)
• Topics: api, crawler, hltv, parser, rust
• Language: Rust
• Homepage: https://docs.rs/hltv/latest/hltv/
• Size: 102 KB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-APACHE

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README

        
# HLTV client

[Documentation](https://docs.rs/hltv/latest/hltv/) | [Crates.io](https://crates.io/crates/hltv) | [Repository](https://foss.alic.dev/dist1ll/hltv-rust)

**A crate for fetching and parsing esports data from [HLTV.org](https://www.hltv.org).**

This crate allows you to fetch and parse upcoming matches, results,

event information, player performance. This crate uses async calls via `reqwest`

and parses the HTML document with `tl`. This API mimics the way you discover information on HLTV. 

Summary pages like [HLTV Matches](https://www.hltv.org/matches) contain less information 

in the HTML document than the detailed match-specific page.

Currently, the following API calls are supported:

- `crate::upcoming`

- `crate::results`

- `crate::get_match`

## Examples

The builders in `hltv` allow you to build a generic `Request` object with a `Request::fetch` method.

```rust

#[tokio::test]

async fn results() -> Result<(), Box> {

    let req = hltv::results()

        .map(Map::Inferno)

        .team(4608) // Team Na'Vi

        .year(2016) 

        .event_type(EventTypeFilter::Lan)

        .build();

    let matches = req.fetch().await?; // Vec

    Ok(())

}

```

## Getting more detailed information

## License

This project is dual-licensed under the MIT and Apache 2.0 license.