How Can Scrapy Efficiently Extract Data from AJAX-Loaded Websites?

Can Scrapy Handle Dynamic Content on AJAX Websites?

Python's Scrapy library provides an effective solution for scraping websites with dynamic content loaded via AJAX. To understand how Scrapy achieves this, let's explore an example using the rubin-kazan.ru website.

This site dynamically loads messages using AJAX. Analyzing the source code reveals the URL and form data used for the AJAX request. By simulating this request in Scrapy, we can retrieve the necessary JSON data.

Here is a simplified Scrapy code snippet:

import scrapy
from scrapy.http import FormRequest

class spider(scrapy.Spider):
    name = 'RubiGuesst'
    start_urls = ['http://www.rubin-kazan.ru/guestbook.html']

    def parse(self, response):
        url_list_gb_messages = re.search(r'url_list_gb_messages="(.*)"', response.body).group(1)
        yield FormRequest('http://www.rubin-kazan.ru' + url_list_gb_messages, callback=self.RubiGuessItem,
                          formdata={'page': str(page + 1), 'uid': ''})

    def RubiGuessItem(self, response):
        json_file = response.body

In parse, we extract the necessary URL and simulate the first request. In RubiGuessItem, we capture the JSON response from the simulated AJAX request. By employing this technique, Scrapy can effectively scrape even dynamic content loaded through AJAX.

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