Alternatives to Scrapy for web scraping in 2024

Why use Scrapy?

Scrapy is one of the fastest and most powerful web crawling frameworks. Written in Twisted - an event-driven framework that gives it asynchronous capabilities - Scrapy is one of the most popular choices for web scraping in Python. It allows you to extract data from multiple pages in parallel and export it.

Unlike many alternatives, Scrapy is designed specifically for data extraction. It has built-in support for handling requests, processing responses, and exporting data. Scrapy makes it easy for you to post-process any data you find while crawling and scraping the web. It can handle many requests at the same time, which makes scraping runs faster. It also provides the building blocks you need to build spiders for web crawling that require a minimum amount of maintenance.

What are the disadvantages of Scrapy?

That all sounds great. So, why would anyone look for Scrapy alternatives?

• 1) Complexity

Scrapy is known for its steep learning curve. If you're new to web scraping, you’d probably want to go for a beginner-friendly alternative, such as Beautiful Soup.

• 2) Cannot scrape dynamically loaded content on its own

To extract pages loaded dynamically with AJAX or data rendered using JavaScript, you’ll need to render the pages like a real user. HTML scrapers aren't capable of that, but drivers that can control headless browsers are. So, in such cases, you’ll need to pair Scrapy with a driver such as Playwright or Selenium.

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Read the docs

• Web scraping with Scrapy 101
• How to use middleware in Scrapy: customizing your spider
• Handling data in Scrapy: databases and pipelines
• Scrapy monitoring: managing your Scrapy spider
• Scrapy-Playwright tutorial

Alternatives to Scrapy for web scraping

Given the disadvantages of Scrapy mentioned above, we looked at 5 Python alternatives to Scrapy:

1. Beautiful Soup
2. Mechanical Soup
3. Selenium
4. Playwright
5. Crawlee

The table below is a basic comparison between them and Scrapy for ease of use, language support, browser automation, scalability, support for dynamic content, and more.

1. Beautiful Soup

Beautiful Soup is a popular Python library for parsing HTML and easily navigating or modifying a DOM tree. However, parsing is only one aspect of web scraping, so it isn’t a full-featured web scraping library.

Beautiful Soup is renowned for being user-friendly and much easier to learn than Scrapy. Extracting HTML and XML elements from a web page requires only a few lines of code, making it ideal for tackling simple scraping tasks with speed.

However, its lack of asynchronous support means that it isn’t great for scalability and large web scraping projects.

Is Scrapy better than Beautiful Soup?‌‌

For beginners and small projects, Beautiful Soup is a better option. For scalability, Scrapy beats Beautiful Soup.

• How to parse HTML in Python with PyQuery or Beautiful Soup
• Web scraping with Beautiful Soup and Requests
• Beautiful Soup vs. Scrapy for web scraping

2. Mechanical Soup

Mechanical Soup is a Python browser automation library that combines the ease of use of Requests for HTTP requests with the HTML parsing capabilities of Beautiful Soup, acting as a higher-level abstraction and headless browser. It offers Python developers a lightweight and efficient toolkit for automating web data extraction, mimicking a browser's behavior without a graphical interface. Named to highlight its integration of Mechanize and Beautiful Soup features, Mechanical Soup simplifies web scraping with functionalities such as navigation, form handling, and session management.

Is Scrapy better than Mechanical Soup?

Mechanical Soup has limited advanced features compared to Scrapy. But if you need functionalities like form handling, navigation, and session management, Mechanical Soup is a better option than Scrapy, as it lets you interact with websites more dynamically. However, it doesn't mimic advanced browser behavior, so it can't handle complex JavaScript.

• Mechanical Soup: a good Python tool for web scraping?

3. Selenium

Selenium is an open-source suite of tools to automate web browsers across multiple platforms. It has a huge community largely due to its age and wide-ranging language support. Though it was primarily developed for web testing, it’s commonly used for scraping due to its ability to control headless browsers, render JavaScript on a page, and scrape dynamic websites. ‌‌

Nonetheless, given it wasn’t designed for web scraping, it isn’t the most user-friendly option, nor is it ideal for large-scale data extraction, as scraping large amounts of data is slow and inefficient in comparison with other alternatives.

‌‌Is Scrapy better than Selenium?

For scalability, Scrapy wins again. But Selenium wins for its cross-language support and efficiency in scraping dynamic content (though scraping dynamic content is possible with Scrapy via plugins).

• Scrapy vs. Selenium: how to choose between them for web scraping
• Web scraping with Selenium and Python
• Selenium page object model: what is POM and how can you use it?
• Selenium WebDriver: how to handle popups
• Selenium WebDriver: how to handle iframes
• Selenium Grid: what it is and how to set it up
• How to scrape JavaScript-rendered pages with Selenium

4. Playwright

Since its launch in 2020, Playwright has been rapidly growing in popularity among Pythonistas and JavaScript fans alike due to its cross-browser and multi-language support, ease of use, and other cool modern features. Although it’s primarily for controlling browsers, its versatility and auto-awaiting function make it a very popular choice for data extraction. If it’s Python you want, check out the Playwright for Python documentation.

Is Scrapy better than Playwright?

Although Playwright is a JavaScript and Node.js library, its consistent support of Python makes it worth comparing to Scrapy. As with Selenium, Playwright outperforms Scrapy on the dynamic content front. Yet Scrapy remains the better option for scalability.

• What is Playwright?
• Python Playwright: a complete guide
• How to scrape the web with Playwright
• Scraping single-page applications with Playwright
• Unlocking the potential of Brave and Playwright for browser automation
• Playwright vs. Selenium: which one to use for web scraping?
• Playwright vs. Puppeteer: which is better?
• How to use Playwright selectors

5. Crawlee

Crawlee is the only Scrapy alternative on our list that is a full-fledged web scraping and browser automation library. The browser automation part is significant, as this makes it an even more complete web scraping library than Scrapy. ‌‌

When it comes to web data extraction, Crawlee has a few significant advantages over Scrapy:

• Support for headless browser crawling

While Scrapy requires the additional installation of middleware, such as scrapy-playwright, and still doesn’t work with Windows, Crawlee for Python supports a unified interface for HTTP & headless browsers.

• Easier to set up and learn

With Scrapy, when you run a command to create a new project, you get many files. Then, you need to learn about various components, such as spiders, middleware, and pipelines.

Crawlee, on the other hand, provides ready-made templates and only a single file to add the code. That makes it very easy to start building a scraper.

• Type hint coverage

Because Crawlee's whole code base is fully type-hinted, you get better autocompletion in your IDE. This not only enhances developer experience while developing scrapers with Crawlee but also reduces the number of bugs thanks to static type checking.

• Based on Asyncio

Both Scrapy and Crawlee are asynchronous frameworks. However, Scrapy relies on the "legacy" Twisted framework. Integrating Scrapy with modern Asyncio-based applications can be challenging, often requiring more effort and debugging‌‌.

Crawlee, on the other hand, is fully asynchronous and based on Asyncio, making integration with other applications or the rest of your system much easier.

• State persistence

Crawlee supports state persistence during interruptions. This means you can resume a scraping pipeline without restarting from the beginning. That saves time and costs for long-running scrapers.

• Separated result storage

Crawlee simplifies result handling by providing built-in storage options, such as datasets and key-value stores, to organize data for each scraping run.

• Easy transition for Scrapy users

Crawlee also supports Parsel, an HTML parser that Scrapy users are familiar with, through the ParselCrawler. This allows you to reuse your existing CSS and XPath selectors without modification, significantly lowering the barriers for transitioning from Scrapy to Crawlee.

• How Daltix saved costs and improved efficiency by migrating its scrapers from Scrapy to Crawlee

Is Scrapy better than Crawlee?

No. While Scrapy and Crawlee are similar in that they're both full-fledged web scraping libraries, Crawlee not only provides an easier setup and learning curve but also offers cool features such as out-of-the-box support for headless browser crawling, state persistence, complete type hint coverage, and more.

• Crawlee documentation
• Crawlee for Python
• Crawlee web scraping tutorial
• Crawlee for Python tutorial
• Crawlee data storage types: saving files, screenshots, and JSON results
• Scrapy vs. Crawlee

Let's recap: it really comes down to Scrapy vs. Crawlee

While many of the alternatives presented here are ideal for specific needs, Scrapy remains a more powerful and complete library for web scraping compared with the likes of Playwright, Selenium, and Beautiful Soup. However, when it comes to full-fledged web scraping libraries, Crawlee stands out as the most complete and versatile library for web scraping and browser automation in both Python and JavaScript. With over 15,000 stars on GitHub (and counting) since its launch in the summer of 2022, it's clearly meeting the needs of web scraping developers.