使用 Selenium 和 Scrapy 抓取所有下一页

Question

我正在尝试获取所有“下一页”，并继续抓取这些页面，方法是使用 Selenium 单击页面底部的“下一页”按钮。我想获得所有这些（第 2、3、4 页等）。但是，我不确定我在这里做错了什么，但我无法使 'click' 选项起作用。

这是我的代码：

import scrapy
import re
import math
from selenium import webdriver
import time

class PropertyFoxSpider(scrapy.Spider):
    name = 'property_fox'
    start_urls = [
        'https://propertyfox.co.za/listing-search?currentpage=1&term_id=62515&keywords=Western+Cape&orderby=createddate:desc&status%5B%5D=Active'
    ]


    def __init__(self):
        #path to driver
        self.driver = webdriver.Chrome('my_path_here')
    

    def parse(self, response):
        self.driver.get(response.url)
        for prop in response.css('div.property-item'):
            link = prop.css('a::attr(href)').get()
            banner = prop.css('div.property-figure-icon div::text').get()
            sold_tag = None
            if banner:
                banner = banner.strip()
                sold_tag = 'sold' if 'sold' in banner.lower() else None

            yield scrapy.Request(
                link,
                callback=self.parse_property,
                meta={'item': {
                    'agency': self.name,
                    'url': link,
                    'offering': 'buy',
                    'banners': banner,
                    'sold_tag':  sold_tag,
                }},
            )
        elem = self.driver.find_element_by_id('pagerNext')
        #elem = self.driver.find_element_by_xpath('//*[@id="pagerNext"]')
        elem.click()
        time.sleep(0.2)

     def parse_property(self, response):
         item = response.meta.get('item')
         . . .

Answer 1

尝试等到元素可点击：

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

elem = WebDriverWait(self.driver, 10).until(EC.element_to_be_clickable((By.ID, "pagerNext")))
elem.click()

使用 Selenium 和 Scrapy 抓取所有下一页

Grab all next pages using Selenium and Scrapy

python

selenium

xpath

scrapy

web-scraping