crawleevsautoscraper
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.
Autoscraper project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.
Autoscraper is minimalistic and auto-generative approach to web scraping. For example, here's a scraper that finds all titles on a stackoverflow.com page:
```python from autoscraper import AutoScraper
url = 'https://stackoverflow.com/questions/2081586/web-scraping-with-python'
We can add one or multiple candidates here.
You can also put urls here to retrieve urls.
wanted_list = ["What are metaclasses in Python?"]
scraper = AutoScraper() result = scraper.build(url, wanted_list) print(result) ```