Everyone figured spider-rs had crawling nailed—high-performance, async, Rust-fast. But content extraction? You’d get raw HTML or some half-baked readability hack, forcing you to hack together your own parser. No more. rs-trafilatura just dropped a smoothly integration, turning spider into a full-stack content harvester with ML-powered page typing and quality checks.

This shifts everything for Rust devs scraping the web. Suddenly, you’re not wrestling with boilerplate; you’re processing real, scored content as pages land.

Look, I’ve seen a dozen crawlers come and go over 20 years—Scrapy in Python ruled for ages, but Rust’s speed promised more. Problem was, nobody nailed extraction. Rs-trafilatura does, porting trafilatura’s battle-tested logic to Rust crates.

Why Pair rs-trafilatura with spider-rs Anyway?

Spider discovers, fetches, queues. Extraction? On you. That’s where rs-trafilatura shines—page-type-aware pulls, like articles vs. products vs. forums, plus a quality score to ditch the junk.

Add ‘em to Cargo.toml:

[dependencies]
rs-trafilatura = { version = "0.2", features = ["spider"] }
spider = "2"
tokio = { version = "1", features = ["full"] }

The ‘spider’ feature unlocks rs_trafilatura::spider_integration::extract_page, which gulps spider’s Page straight up.

Simplest crawl-and-extract:

use spider::website::Website; use rs_trafilatura::spider_integration::extract_page;

[tokio::main]

async fn main() { let mut website = Website::new(“https://example.com”); website.crawl().await; for page in website.get_pages().into_iter().flatten() { match extract_page(&page) { Ok(result) => { println!(“[{}] {} (confidence: {:.2})”, result.metadata.page_type.unwrap_or_default(), result.metadata.title.unwrap_or_default(), result.extraction_quality, ); println!(” Content: {} chars”, result.content_text.len()); } Err(e) => eprintln!(” Extraction failed: {e}”), } } }

Boom. Prints page type, title, confidence, content length. URL auto-feeds the classifier.

But waiting on full crawls? Lame for big sites.

Streaming Extraction: Process Pages as They Drop

Subscribe to spider’s channel—extract on arrival. Extraction clocks ~44ms/page, so it paces right with fetches.

Here’s the spawned-task magic:

let mut rx = website.subscribe(0).unwrap();
let handle = tokio::spawn(async move {
    let mut count = 0;
    while let Ok(page) = rx.recv().await {
        if let Ok(result) = extract_page(&page) {
            count += 1;
            println!("[{count}] {} → {} ({:.2})",
                page.get_url(),
                result.metadata.page_type.unwrap_or_default(),
                result.extraction_quality,
            );
        }
    }
    println!("Extracted {count} pages");
});

No blocking. Pure async bliss.

Tweak with extract_page_with_options—markdown out, image pulls, precision bias, force page type.

let options = Options {
    output_markdown: true,
    include_images: true,
    favor_precision: true,
    page_type: Some(PageType::Product),
    ..Options::default()
};

Grab MD, hero images, all that.

Quality score? Filter duds:

if result.extraction_quality < 0.80 {
    eprintln!("⚠ Low confidence on {url}: {:.2}", result.extraction_quality);
    continue;
}

On benchmarks, 8% dip below 0.80—JSON-LD products, wonky forums. Flag ‘em for review.

ExtractResult packs: text, MD, HTML, title/author/date/type, score, images.

Spider’s built-in spider_transformations? Basic readability. No ML types, no JSON-LD, no scores. Fine for articles; chokes on diversity.

Rs-trafilatura crushes it there.

Here’s my take—no article mentions this, but it’s the killer app: This combo echoes early Scrapy plugins that made Python crawling dominant. Back then, custom extractors were gold. In Rust, it’ll standardize—predict 6 months, every serious crawler forks this in. Python’s trafilatura? Slow heavyweight. This Rust port laps it, killing excuses for non-Rust stacks in scale scraping. Who profits? Not VCs—time-rich OSS devs building datasets without the pain.

Cynical? Sure. PR screams ‘high-performance’ everywhere, but benchmarks back it: 44ms/page ain’t hype.

Does spider-rs + rs-trafilatura Scale for Prod Crawls?

Yes—if you stream and filter. Tokio handles concurrency; extraction’s light.

Edge cases: Dynamic JS sites? Spider’s static—pair with headless if needed. But for 90% static web, golden.

Images vec? Hero flags, alts—SEO gold for aggregators.

Options let you override URL for classification. Sneaky for redirects.

WCEB benchmark nod: Real-world diverse pages, not toy sites.

Downsides? New crate—0.2 version. Watch stability. But spider’s 2.0 mature.

Who’s Actually Winning Here?

Not Big Tech—OSS tooling levels the field. Indie devs scraping for AI training data? Jackpot. No more regex hell.

Historical parallel: Remember Boilerpipe? Flash in pan. Trafilatura endured; this Rustify keeps it alive.

Bold call—by 2025, rs-trafilatura’s default in Rust crawler stacks. Spider maintainers should pin it.

PR spin? ‘Slots in smoothly’—understatement. It’s transformative for mixed-page crawls.

Try it. Your scraped corpora will thank you.

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Frequently Asked Questions

What does rs-trafilatura do with spider-rs?

It extracts clean content, metadata, images from spider’s pages, with page-type detection and quality scoring—way smarter than spider’s basics.

How fast is rs-trafilatura extraction?

About 44ms per page, async-ready, keeps up with spider’s crawl speed no sweat.

Can I filter low-quality extractions?

Yep, use the 0-1.0 score—under 0.80? Flag or skip, covers ~8% tricky pages like products.