crawleevsruia

Apache-2.0 175 26 22,720

341.9 thousand (month) Apr 22 2022 3.16.0(2026-04-09 07:36:53 ago)

1,743 3 9 Apache-2.0

Oct 17 2018 414 (month) 0.8.5(2022-09-06 08:54:56 ago)

Crawlee is a modern web scraping and browser automation framework for JavaScript and TypeScript, built by Apify. It is the successor to the Apify SDK and provides a unified interface for building reliable web scrapers and crawlers that can scale from simple scripts to large-scale data extraction projects.

Crawlee supports multiple crawling strategies through different crawler classes:

CheerioCrawler For fast, lightweight HTML scraping using Cheerio (no browser needed). Best for static pages.
PlaywrightCrawler Uses Playwright for full browser automation. Handles JavaScript-rendered pages, SPAs, and complex interactions.
PuppeteerCrawler Similar to PlaywrightCrawler but uses Puppeteer as the browser automation backend.
HttpCrawler Minimal crawler for raw HTTP requests without HTML parsing.

Key features include:

Automatic request queue management with configurable concurrency and rate limiting
Built-in proxy rotation with session management
Persistent request queue and dataset storage (local or cloud via Apify)
Automatic retry and error handling with configurable strategies
TypeScript-first design with full type safety
Middleware-like request/response hooks (preNavigationHooks, postNavigationHooks)
Output pipelines for storing extracted data
Easy deployment to Apify cloud platform

Crawlee is considered the most feature-complete web scraping framework in the JavaScript/TypeScript ecosystem, comparable to Python's Scrapy but with native browser automation support.

Ruia is an async web scraping micro-framework, written with asyncio and aiohttp, aims to make crawling url as convenient as possible.

Ruia is inspired by scrapy however instead of Twisted it's based entirely on asyncio and aiohttp.

It also supports various features like cookies, headers, and proxy, which makes it very useful in dealing with complex web scraping tasks.

Highlights

populartypescriptextendiblemiddlewaresoutput-pipelineslarge-scaleproxy

Example Use

```javascript import { PlaywrightCrawler, Dataset } from 'crawlee'; // Create a crawler with Playwright for JS rendering const crawler = new PlaywrightCrawler({ // Limit concurrency to avoid overwhelming the target maxConcurrency: 5, // This function is called for each URL async requestHandler({ request, page, enqueueLinks }) { const title = await page.title(); // Extract data from the page const products = await page.$$eval('.product', (els) => els.map((el) => ({ name: el.querySelector('.name')?.textContent, price: el.querySelector('.price')?.textContent, })) ); // Store extracted data await Dataset.pushData({ url: request.url, title, products, }); // Follow links to crawl more pages await enqueueLinks({ globs: ['https://example.com/products/**'], }); }, }); // Start crawling await crawler.run(['https://example.com/products']); ```

```python #!/usr/bin/env python """ Target: https://news.ycombinator.com/ pip install aiofiles """ import aiofiles from ruia import AttrField, Item, Spider, TextField class HackerNewsItem(Item): target_item = TextField(css_select="tr.athing") title = TextField(css_select="a.storylink") url = AttrField(css_select="a.storylink", attr="href") async def clean_title(self, value): return value.strip() class HackerNewsSpider(Spider): start_urls = [ "https://news.ycombinator.com/news?p=1", "https://news.ycombinator.com/news?p=2", ] concurrency = 10 # aiohttp_kwargs = {"proxy": "http://0.0.0.0:1087"} async def parse(self, response): async for item in HackerNewsItem.get_items(html=await response.text()): yield item async def process_item(self, item: HackerNewsItem): async with aiofiles.open("./hacker_news.txt", "a") as f: self.logger.info(item) await f.write(str(item.title) + "\n") if __name__ == "__main__": HackerNewsSpider.start(middleware=None) ```

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