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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.
ScrapydWeb is a web-based management tool for the Scrapyd service. It is built using the Python Flask framework and allows you to easily manage and monitor your Scrapy spider projects through a web interface.
ScrapydWeb allows you to view the status of your running spiders, view the logs of completed spiders, schedule new spider runs, and manage spider settings and configurations.
ScrapydWeb provides a simple way to manage your scraping tasks and allows you to schedule and run multiple spiders simultaneously. It also provides a user-friendly web interface that makes it easy to view the status of your spiders and monitor their progress.
You can install the package via pip by running pip install scrapydweb and then you can run the package by
running scrapydweb command in your command prompt.
It will start a web server that you can access through your web browser at http://localhost:6800/
You will need to have Scrapyd running in order to use ScrapydWeb,
Scrapyd is a service for running Scrapy spiders, it allows you to schedule spiders to run at regular intervals
and also allows you to run spiders on remote machines.