一直想用Python做爬虫爬些东西，看上一家网站的书觉得不错就开始用爬虫下手爬了！

• 开始爬虫工作的第一步使用 scrapy startproject BookSpider创建项目文件

• 创建完成并修改后的文件目录:

  Screen Shot 2015-08-10 at 17.49.52.png

• dmoz_spider.py 中定义了用来爬取网站的Spider

class DmozSpider(scrapy.Spider):
    name = "dmoz"
    allowed_domains = ["salttiger.com"]
    start_urls = [
        "http://www.salttiger.com/category/ebooks/"
    ]

    def parse(self, response):
            item = BookspiderItem()

            title = response.xpath(".//*/header/h1/a/text()").extract()
            item['title'] =[t.encode('utf-8') for t in title]
            url = response.xpath(".//*/header/h1/a/@href").extract()
            item['url'] = [t.encode('utf-8') for t in url]
            image = response.xpath(".//*/div/p[1]/img/@src").extract()
            item['image'] = [t.encode('utf-8') for t in image]

            for t in title:
                print(t.encode('utf-8'))

            yield item
            urls = response.xpath(".//*[@id='nav-below']/div/a[@class='page larger']/@href").extract()
            for ul in urls:
                print (urls)
                yield Request(ul, callback=self.parse)

• 自定义pipline文件将数据写入mongodb和本地:

FILE_NAME = 'meizi_images'

class MongoPipline(object):

    collection_name = 'scrapy_items'

    def __init__(self):
        connection = pymongo.MongoClient(settings['MONGODB_SERVER'], settings['MONGODB_PORT'])
        db = connection[settings['MONGODB_DB']]
        self.collection = db[settings['MONGODB_COLLECTION']]


    def process_item(self, item, spider):
        abs_path = get_abs_path(item)
        save_to_folder(item, abs_path)
        self.collection.insert(dict(item))

        return item

def get_abs_path(item):
    abs_path = os.path.join(os.getcwd(), FILE_NAME)
    print ("DDDDDDDDDDD")
    print (item['title'])
    print ("DDDDDDDDDDD")
    if not os.path.exists(abs_path):
        os.mkdir(abs_path)
    for uri in item['title']:
        abs_paths = os.path.join(abs_path, uri)

        if not os.path.exists(abs_paths):
            os.mkdir(abs_paths)
            yield abs_paths

def save_to_folder(item, abs_path):

    m = []

    for url in item['image']:
        img_name ='1.jpg'
        img_abs_path = os.path.join(abs_path.next(), img_name)
        m.append(img_abs_path)
        print(m)
        item['localImage'] = m
        urllib.urlretrieve(url, img_abs_path)

完整的项目文件:github