scrapy+selenium 爬取淘宝

# -*- coding: utf-8 -*-

# Define here the models for your spider middleware
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/spider-middleware.html

from scrapy import signals


class ScrapyseleniumtestSpiderMiddleware(object):
    # Not all methods need to be defined. If a method is not defined,
    # scrapy acts as if the spider middleware does not modify the
    # passed objects.

    @classmethod
    def from_crawler(cls, crawler):
        # This method is used by Scrapy to create your spiders.
        s = cls()
        crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
        return s

    def process_spider_input(self, response, spider):
        # Called for each response that goes through the spider
        # middleware and into the spider.

        # Should return None or raise an exception.
        return None

    def process_spider_output(self, response, result, spider):
        # Called with the results returned from the Spider, after
        # it has processed the response.

        # Must return an iterable of Request, dict or Item objects.
        for i in result:
            yield i

    def process_spider_exception(self, response, exception, spider):
        # Called when a spider or process_spider_input() method
        # (from other spider middleware) raises an exception.

        # Should return either None or an iterable of Response, dict
        # or Item objects.
        pass

    def process_start_requests(self, start_requests, spider):
        # Called with the start requests of the spider, and works
        # similarly to the process_spider_output() method, except
        # that it doesn’t have a response associated.

        # Must return only requests (not items).
        for r in start_requests:
            yield r

    def spider_opened(self, spider):
        spider.logger.info(‘Spider opened: %s‘ % spider.name)


from selenium import webdriver
from selenium.common.exceptions import TimeoutException
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.http import HtmlResponse
from logging import getLogger


class SeleniumMiddleware():
    def __init__(self, timeout=None, service_args=[]):
        self.logger = getLogger(__name__)
        self.timeout = timeout
        self.browser = webdriver.PhantomJS(service_args=service_args)
        self.browser.set_window_size(1400, 700)
        self.browser.set_page_load_timeout(self.timeout)
        self.wait = WebDriverWait(self.browser, self.timeout)

    def __del__(self):
        self.browser.close()

    def process_request(self, request, spider):
        """
        用PhantomJS抓取页面
        :param request: Request对象
        :param spider: Spider对象
        :return: HtmlResponse
        """
        self.logger.debug(‘PhantomJS is Starting‘)
        # 得到的是个int型的整数
        page = request.meta.get(‘page‘, 1)
        print(‘-----------------‘,page,‘-----------------------------‘)
        print(‘------------------‘,type(page),‘-----------------------------‘)
        try:
            self.browser.get(request.url)
            print(‘------------------‘, request.url,
                  ‘-----------------------------‘)
            if page > 1:
                # 从第二页开始就要等待页面加载了
                # Presence_of_all_elements_located 判断一组元素是否存在
                input = self.wait.until(
                    EC.presence_of_element_located((By.CSS_SELECTOR, ‘#mainsrp-pager div.form > input‘)))
                # Element_to_be_clickable 判断元素是否点击，它处于可见和启动状态
                submit = self.wait.until(
                    EC.element_to_be_clickable((By.CSS_SELECTOR, ‘#mainsrp-pager div.form > span.btn.J_Submit‘)))
                input.clear()
                # 输入第几页
                input.send_keys(page)
                submit.click()
            # Text_to_be_present_in_element 判断元素是否有xx文本信息
            self.wait.until(EC.text_to_be_present_in_element((By.CSS_SELECTOR, ‘#mainsrp-pager li.item.active > span‘), str(page)))
            # Presence_of_all_elements_located 判断一组元素是否存在
            # 检测每一个item是否加载出来了
            self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, ‘.m-itemlist .items .item‘)))
            return HtmlResponse(url=request.url, body=self.browser.page_source, request=request, encoding=‘utf-8‘, status=200)
        except TimeoutException:
            return HtmlResponse(url=request.url, status=500, request=request)

    # 类方法 感觉就是获取setting里面的数据 在这里调用
    # 得到数据之后变成类变量
    @classmethod
    def from_crawler(cls, crawler):
        return cls(timeout=crawler.settings.get(‘SELENIUM_TIMEOUT‘),
                   service_args=crawler.settings.get(‘PHANTOMJS_SERVICE_ARGS‘))

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy
from scrapy import Field


class ScrapyseleniumtestItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    collection = ‘products‘
    image = Field()
    price = Field()
    deal = Field()
    title = Field()
    shop = Field()
    location = Field()

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don‘t forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html


class ScrapyseleniumtestPipeline(object):
    def process_item(self, item, spider):
        return item

import pymongo


class MongoPipeline(object):

    #collection_name = ‘scrapy_items‘

    def __init__(self, mongo_uri, mongo_db):
        self.mongo_uri = mongo_uri
        self.mongo_db = mongo_db

    @classmethod
    def from_crawler(cls, crawler):
        return cls(
            mongo_uri=crawler.settings.get(‘MONGO_URI‘),
            mongo_db=crawler.settings.get(‘MONGO_DB‘)
        )

    def open_spider(self, spider):
        self.client = pymongo.MongoClient(self.mongo_uri)
        self.db = self.client[self.mongo_db]

    def close_spider(self, spider):
        self.client.close()

    def process_item(self, item, spider):
        #
        # item.__class__.__name__  输出的item的类名
        name = item.__class__.__name__
        print(‘---------------name‘, name, ‘-------------------‘)
        self.db[name].insert(dict(item))
        #self.db[item.collection].insert(dict(item))
        return item