python scrapy splash tutorial
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Scrapy is a powerful open-source web crawling framework for Python used to extract data from websites. Sometimes, websites that heavily rely on JavaScript rendering may pose a challenge for traditional web scrapers. In such cases, Scrapy Splash comes to the rescue. Splash is a lightweight, scriptable headless browser with an HTTP API, and Scrapy Splash is an extension for Scrapy that allows you to use Splash as a rendering engine for your Scrapy spiders.
This tutorial will guide you through the process of setting up Scrapy Splash and creating a simple Scrapy spider with code examples.
Before you start, ensure you have the following installed:
If you want to run Splash locally using Docker, you can use the following command:
This will start a Splash server on http://localhost:8050.
In your Scrapy project settings (settings.py), add the following configurations:
Adjust the SPLASH_URL according to your Splash server address.
Let's create a simple spider that extracts quotes from http://quotes.toscrape.com using Splash for rendering JavaScript.
This spider uses SplashRequest instead of scrapy.Request to make requests to the website, and it specifies endpoint='render.html' to tell Splash to render the HTML.
Execute the spider using the following command:
This will run the spider, and the extracted data will be saved in a JSON file named quotes.json.
That's it! You've successfully created a Scrapy spider using Splash for JavaScript rendering. Feel free to explore and customize the spider according to your specific needs.
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