Web Scraping With Scrapy and MongoDB

Scrapy is a robust Python web scraping framework that can manage requests asynchronously, follow links, and parse site content. To store scraped data, you can use MongoDB, a scalable NoSQL database, that stores data in a JSON-like format. Combining Scrapy with MongoDB offers a powerful solution for web scraping projects, leveraging Scrapy’s efficiency and MongoDB’s flexible data storage.

If you’re new to web scraping and you’re looking for flexible and scalable tooling, then this is the right tutorial for you. You’ll also benefit from learning this tool kit if you’ve scraped sites before, but the complexity of your project has outgrown using Beautiful Soup and Requests.

By the end, you’ll know how to get, parse, and store static data from the

 

 

 

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