A spider to get CASIO(including G-SHOCK) watch specs, to help you make your choice.

casio-watch-spider.py

import re
import scrapy

def parse_date(s):
    if s:
        s = s.replace('年', '').replace('月', '').replace('NEW', '')
        if len(s) == 5:  
            month = s[-1]
            s = s[:4] + "0" + month  # add a leading zero to month
        s = int(s)
    return s

def parse_price(s):
    if s:
        s = int(s.replace('价格：','').replace('元','').replace(',', ''))
    return s

def parse_is_new(s):
    if s:
        return 'NEW' in s or 'COMMING SOON' in s
    return False

def parse_is_square(watch):
    return 'shock' in watch['detail_page'] and bool(re.match(r'.*5\d\d\d.*', watch['name']))


class WatchSpider(scrapy.Spider):
    name = 'watch_spider'
    start_urls = ['https://www.casio.com.cn/wat/search.html']


    def parse(self, response):
        for watch in response.css('.model-list .column'):
            item = {
                'name': watch.css('h5.t-size-x-small::text').get(),
                'image_url': response.urljoin(watch.css('.figure img::attr(src)').get()),
                'price': parse_price(watch.css('.info a p::text').get()),
                'release_date': parse_date(watch.css('.label-alert::text').get()),
                'is_new': parse_is_new(watch.css('.label-alert::text').get()),
                'features': watch.css('.feature span::text').getall(),
                'detail_page': response.urljoin(watch.css('.info a::attr(href)').get()),
            }
            item['is_square'] = parse_is_square(item)
            yield item

        for page_link in response.css('.pagination a'):
            if '下一页' in page_link.get():
                yield response.follow(page_link, self.parse)
                break

> pip install scrapy

> scrapy runspider casio-watch-spider.py -o watches.json

> python

>>> import json
>>> ws = json.load(open('watches.json'))
>>> for w in ws:
...     if w['is_square'] and set(('太阳能动力', '六局电波', '蓝牙')).issubset(w['features']):
...         print(w)
...