{"id":58586,"date":"2024-09-13T17:10:56","date_gmt":"2024-09-13T16:10:56","guid":{"rendered":"https:\/\/proxidize.com\/?post_type=use-cases&p=58586"},"modified":"2025-10-02T12:25:00","modified_gmt":"2025-10-02T11:25:00","slug":"scrapy-web-scraping","status":"publish","type":"blog","link":"https:\/\/proxidize.com\/blog\/scrapy-web-scraping\/","title":{"rendered":"A Guide to Writing a Scrapy Web Scraping Script"},"content":{"rendered":"\n

There are many languages and libraries available to perform a web scraping project<\/a> however, if you wish to perform a large-scale project, then using Scrapy web scraping<\/a> could be the best choice. It is a library designed specifically to handle large-scale scraping projects due to its easy accessibility and extendable framework. This article aims to explain what Scrapy is, and provide a breakdown of how to use it with a step-by-step Scrapy tutorial. Finally, it will include some advanced Scrapy techniques and offer tips and tricks on perfecting your techniques.<\/p>\n\n\n\n

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What is Scrapy?<\/h2>\n\n\n\n

Scrapy is an open-source library built for Python and works on an asynchronous networking engine<\/a> called Twisted. What this means is that it uses an event-driven networking infrastructure and allows for higher efficiency and scalability. Scrapy comes with an engine called Crawler<\/a> that handles low-level logic such as HTTP connection, scheduling, and entire execution flow. For high-level logic tasks, Scrapy offers up Spiders which will handle the scraping logic and performance. Users would need to provide the Crawler with a Spider object to generate request objects, parse, and retrieve the data to store.<\/p>\n\n\n\n

Requests is used for HTTP requests, BeautifulSoup is used for data parsing<\/a>, Selenium is most common with JavaScript-based websites, and Scrapy offers all of these in one convenient library.<\/p>\n\n\n\n

Here are some common Scrapy terms:<\/p>\n\n\n\n

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