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我正在尝试抓取一个动态网站，我需要 Selenium。

只有当我点击该特定元素时，我想要抓取的链接才会打开。它们是由 jQuery 打开的，所以我唯一的选择是单击它们，因为没有 href 属性或任何可以给我 URL 的东西。

我的方法是这样的：

# -*- coding: utf-8 -*-
import scrapy

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from scrapy.selector import Selector
from scrapy_selenium import SeleniumRequest

class AnofmSpider(scrapy.Spider):
    name = 'anofm'
    
    def start_requests(self):
        yield SeleniumRequest(
            url='https://www.anofm.ro/lmvw.html?agentie=Covasna&categ=3&subcateg=1',
            callback=self.parse
        )

    def parse(self, response):  
        driver = response.meta['driver'] 
        try:
            element = WebDriverWait(driver, 10).until(
                EC.presence_of_element_located((By.ID, "tableRepeat2"))
            )
        finally:
            html = driver.page_source
            response_obj = Selector(text=html)
            
            links = response_obj.xpath("//tbody[@id='tableRepeat2']")
            for link in links:
                driver.execute_script("arguments[0].click();", link)
                
                yield {
                    'Ocupatia': response_obj.xpath("//div[@id='print']/p/text()[1]")
                }

但它不会工作。

在我要单击该元素的行上，出现此错误：

TypeError: Object of type Selector is not JSON serializable

我有点理解这个错误，但我不知道如何解决它。我不知何故需要将该对象从选择器转换为可点击按钮。

我在网上查了解决方案和文档，但我找不到任何有用的东西。

任何人都可以帮助我更好地理解这个错误，我应该如何解决它？

谢谢。

4

2 回答 2

1

您将 Scrapy 对象与 Selenium 函数混合使用，这会产生问题。我不知道如何转换对象，但我只会使用 Selenium

        finally:

            links = driver.find_elements_by_xpath("//tbody[@id='tableRepeat2']/tr")
            print('len(links):', len(links))
            
            for link in links:
                # doesn't work for me - even
                #driver.execute_script("arguments[0].scrollIntoView();", link)
                #link.click()
                
                # open information
                driver.execute_script("arguments[0].click();", link)
                
                # javascript may need some time to display it
                time.sleep(1)
                
                # get data
                ocupatia = driver.find_element_by_xpath(".//div[@id='print']/p").text
                ocupatia = ocupatia.split('\n', 1)[0]        # first line
                ocupatia = ocupatia.split(':', 1)[1].strip() # text after first `:`
                print('Ocupatia -->', ocupatia)

                # close information
                driver.find_element_by_xpath('//button[text()="Inchide"]').click()

                yield {
                    'Ocupatia': ocupatia
                }

完整的工作代码。

每个人都可以将它放在一个文件中并运行python script.py，而无需在scrapy.

您必须更改SELENIUM_DRIVER_EXECUTABLE_PATH为正确的路径。

import scrapy

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from scrapy.selector import Selector
from scrapy_selenium import SeleniumRequest
import time

class AnofmSpider(scrapy.Spider):
    name = 'anofm'
    
    def start_requests(self):
        yield SeleniumRequest(
            url='https://www.anofm.ro/lmvw.html?agentie=Covasna&categ=3&subcateg=1',
            #callback=self.parse
        )

    def parse(self, response):  
        driver = response.meta['driver'] 
        try:
            print("try")
            element = WebDriverWait(driver, 20).until(
                EC.presence_of_element_located((By.XPATH, "//tbody[@id='tableRepeat2']/tr/td"))
            )
        finally:
            print("finally")

            links = driver.find_elements_by_xpath("//tbody[@id='tableRepeat2']/tr")
            print('len(links):', len(links))
            
            for link in links:
                #driver.execute_script("arguments[0].scrollIntoView();", link)
                #link.click()
                
                # open information
                driver.execute_script("arguments[0].click();", link)
                
                # javascript may need some time to display it
                time.sleep(1)
                
                # get data
                ocupatia = driver.find_element_by_xpath(".//div[@id='print']/p").text
                ocupatia = ocupatia.split('\n', 1)[0]        # first line
                ocupatia = ocupatia.split(':', 1)[1].strip() # text after first `:`
                print('Ocupatia -->', ocupatia)

                # close information
                driver.find_element_by_xpath('//button[text()="Inchide"]').click()

                yield {
                    'Ocupatia': ocupatia
                }

# --- run without project and save in `output.csv` ---

from scrapy.crawler import CrawlerProcess

c = CrawlerProcess({
    'USER_AGENT': 'Mozilla/5.0',
    # save in file CSV, JSON or XML
    'FEEDS': {'output.csv': {'format': 'csv'}},  # new in 2.1

    'DOWNLOADER_MIDDLEWARES': {'scrapy_selenium.SeleniumMiddleware': 800},

    'SELENIUM_DRIVER_NAME': 'firefox',
    'SELENIUM_DRIVER_EXECUTABLE_PATH': '/home/furas/bin/geckodriver',
    'SELENIUM_DRIVER_ARGUMENTS': [], # ['-headless']
})
c.crawl(AnofmSpider)
c.start()
于 2021-09-17T17:56:11.597 回答
1

实际上，数据也是从API呼叫JSON响应中生成的，您可以轻松地从API. 这是与分页一起工作的解决方案。每页包含 8 个项目，总共 32 个项目。

代码：

import scrapy
import json

class AnofmSpider(scrapy.Spider):

    name = 'anofm'

    def start_requests(self):
        yield scrapy.Request(
            url='https://www.anofm.ro/dmxConnect/api/oferte_bos/oferte_bos_query2L_Test.php?offset=8&cauta=&select=Covasna&limit=8&localitate=',
            method='GET',
            callback=self.parse,
            meta= {
                'limit': 8}
                )


    def parse(self, response):
        resp = json.loads(response.body)
        hits = resp.get('lmv').get('data')
        for h in hits:
            yield {
                'Ocupatia': h.get('OCCUPATION')
            }


        total_limit = resp.get('lmv').get('total')
        next_limit = response.meta['limit'] + 8
        if next_limit <= total_limit:
            yield scrapy.Request(
                url=f'https://www.anofm.ro/dmxConnect/api/oferte_bos/oferte_bos_query2L_Test.php?offset=8&cauta=&select=Covasna&limit={next_limit}&localitate=',
                method='GET',
                callback=self.parse,
                meta= {
                    'limit': next_limit}
                    )
于 2021-09-17T17:25:54.083 回答