一尘不染

每个网址两次Scrapy + Selenium请求两次

selenium

import scrapy
from selenium import webdriver

class ProductSpider(scrapy.Spider):
    name = "product_spider"
    allowed_domains = ['ebay.com']
    start_urls = ['http://www.ebay.com/sch/i.html?_odkw=books&_osacat=0&_trksid=p2045573.m570.l1313.TR0.TRC0.Xpython&_nkw=python&_sacat=0&_from=R40']

    def __init__(self):
        self.driver = webdriver.Firefox()

    def parse(self, response):
        self.driver.get(response.url)

        while True:
            next = self.driver.find_element_by_xpath('//td[@class="pagn-next"]/a')

            try:
                next.click()

                # get the data and write it to scrapy items
            except:
                break

        self.driver.close()

此解决方案效果很好,但是它对相同的URL两次请求,一个是scrapy Scheduler,另一个是Selenium Web驱动程序。

与没有selenium的苛刻要求相比,完成这项工作将花费两倍的时间。如何避免这种情况?


阅读 609

收藏
2020-06-26

共1个答案

一尘不染

这是解决这个问题的有用技巧。

*为硒 *创建一个Web服务 ,在本地运行它

from flask import Flask, request, make_response
from flask_restful import Resource, Api
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

app = Flask(__name__)
api = Api(app)

class Selenium(Resource):
    _driver = None

    @staticmethod
    def getDriver():
        if not Selenium._driver:
            chrome_options = Options()
            chrome_options.add_argument("--headless")

            Selenium._driver = webdriver.Chrome(chrome_options=chrome_options)
        return Selenium._driver

    @property
    def driver(self):
        return Selenium.getDriver()

    def get(self):
        url = str(request.args['url'])

        self.driver.get(url)

        return make_response(self.driver.page_source)

api.add_resource(Selenium, '/')

if __name__ == '__main__':
    app.run(debug=True)

现在将使用硒Chrome / Firefox驱动程序返回编译后的网页。

现在我们的蜘蛛会是什么样子,

import scrapy
import urllib


class ProductSpider(scrapy.Spider):
    name = 'products'
    allowed_domains = ['ebay.com']
    urls = [
        'http://www.ebay.com/sch/i.html?_odkw=books&_osacat=0&_trksid=p2045573.m570.l1313.TR0.TRC0.Xpython&_nkw=python&_sacat=0&_from=R40',
    ]

    def start_requests(self):
        for url in self.urls:
            url = 'http://127.0.0.1:5000/?url={}'.format(urllib.quote(url))
            yield scrapy.Request(url)

    def parse(self, response):
        yield {
            'field': response.xpath('//td[@class="pagn-next"]/a'),
        }
2020-06-26