Scrapy教程示例

时间：2016-08-31 07:12:44

标签： python web-scraping scrapy web-crawler

想看看是否有人能指出我在python中使用Scrapy的正确方向。

我一直试图按照这个例子好几天仍然无法获得预期的输出。使用Scrapy教程http://doc.scrapy.org/en/latest/intro/tutorial.html#defining-our-item，甚至从github repo下载一个确切的项目，但我得到的输出不是教程中描述的。 

from scrapy.spiders import Spider
from scrapy.selector import Selector

from dirbot.items import Website


class DmozSpider(Spider):
name = "dmoz"
allowed_domains = ["dmoz.org"]
start_urls = [
    "http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",
    "http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/",
]

  def parse(self, response):
    """
    The lines below is a spider contract. For more info see:
    http://doc.scrapy.org/en/latest/topics/contracts.html

    @url http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/
    @scrapes name
    """
    sel = Selector(response)
    sites = sel.xpath('//ul[@class="directory-url"]/li')
    items = []

    for site in sites:
        item = Website()
        item['name'] = site.xpath('a/text()').extract()
        item['url'] = site.xpath('a/@href').extract()
        item['description'] = site.xpath('text()').re('-\s[^\n]*\\r')
        items.append(item)

    return items

从github下载项目后，我在顶级目录中运行“scrapy crawl dmoz”。我得到以下输出：

2016-08-31 00:08:19 [scrapy] INFO: Scrapy 1.1.1 started (bot: scrapybot)
2016-08-31 00:08:19 [scrapy] INFO: Overridden settings: {'DEFAULT_ITEM_CLASS': 'dirbot.items.Website', 'NEWSPIDER_MODULE': 'dirbot.spiders', 'SPIDER_MODULES': ['dirbot.spiders']}
2016-08-31 00:08:19 [scrapy] INFO: Enabled extensions:
['scrapy.extensions.logstats.LogStats',
 'scrapy.extensions.telnet.TelnetConsole',
 'scrapy.extensions.corestats.CoreStats']
2016-08-31 00:08:19 [scrapy] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
 'scrapy.downloadermiddlewares.retry.RetryMiddleware',
 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',
 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',
 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',
 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware',
 'scrapy.downloadermiddlewares.chunked.ChunkedTransferMiddleware',
 'scrapy.downloadermiddlewares.stats.DownloaderStats']
2016-08-31 00:08:19 [scrapy] INFO: Enabled spider middlewares:
['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',
 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',
 'scrapy.spidermiddlewares.referer.RefererMiddleware',
 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',
 'scrapy.spidermiddlewares.depth.DepthMiddleware']
2016-08-31 00:08:19 [scrapy] INFO: Enabled item pipelines:
['dirbot.pipelines.FilterWordsPipeline']
2016-08-31 00:08:19 [scrapy] INFO: Spider opened
2016-08-31 00:08:19 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2016-08-31 00:08:19 [scrapy] DEBUG: Telnet console listening on 128.1.2.1:2700
2016-08-31 00:08:20 [scrapy] DEBUG: Crawled (200) <GET http://www.dmoz.org/Computers/Programming/Languages/Python/Books/> (referer: None)
2016-08-31 00:08:20 [scrapy] DEBUG: Crawled (200) <GET http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/> (referer: None)
2016-08-31 00:08:20 [scrapy] INFO: Closing spider (finished)
2016-08-31 00:08:20 [scrapy] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 514,
 'downloader/request_count': 2,
 'downloader/request_method_count/GET': 2,
 'downloader/response_bytes': 16179,
 'downloader/response_count': 2,
 'downloader/response_status_count/200': 2,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2016, 8, 31, 7, 8, 20, 314625),
 'log_count/DEBUG': 3,
 'log_count/INFO': 7,
 'response_received_count': 2,
 'scheduler/dequeued': 2,
 'scheduler/dequeued/memory': 2,
 'scheduler/enqueued': 2,
 'scheduler/enqueued/memory': 2,
 'start_time': datetime.datetime(2016, 8, 31, 7, 8, 19, 882944)}
2016-08-31 00:08:20 [scrapy] INFO: Spider closed (finished)

根据教程期待这个：

[scrapy] DEBUG: Scraped from <200 http://www.dmoz.org/Computers/Programming/Languages/Python/Books/>
 {'desc': [u' - By David Mertz; Addison Wesley. Book in progress, full text, ASCII format. Asks for feedback. [author website, Gnosis Software, Inc.\n],
  'link': [u'http://gnosis.cx/TPiP/'],
  'title': [u'Text Processing in Python']}
[scrapy] DEBUG: Scraped from <200 http://www.dmoz.org/Computers/Programming/Languages/Python/Books/>
 {'desc': [u' - By Sean McGrath; Prentice Hall PTR, 2000, ISBN 0130211192, has CD-ROM. Methods to build XML applications fast, Python tutorial, DOM and SAX, new Pyxie open source XML processing library. [Prentice Hall PTR]\n'],
  'link': [u'http://www.informit.com/store/product.aspx?isbn=0130211192'],
  'title': [u'XML Processing with Python']}

3 个答案:

答案 0 :(得分：2)

似乎这个蜘蛛在教程中已经过时了。该网站已经改变了一点，所以所有的xpath现在都没有捕获。这很容易解决：

def parse(self, response):
    sites = response.xpath('//div[@class="title-and-desc"]/a')
    for site in sites:
        item = dict()
        item['name'] = site.xpath("text()").extract_first() 
        item['url'] = site.xpath("@href").extract_first() 
        item['description'] = site.xpath("following-sibling::div/text()").extract_first('').strip()
        yield item

为了将来参考，您始终可以测试特定xpath是否与scrapy shell命令一起使用 例如我做了什么来测试这个：

$ scrapy shell "http://www.dmoz.org/Computers/Programming/Languages/Python/Books/"
# test sites xpath
response.xpath('//ul[@class="directory-url"]/li') 
[]
# ok it doesn't work, check out page in web browser
view(response)
# find correct xpath and test that:
response.xpath('//div[@class="title-and-desc"]/a')
# 21 result nodes printed
# it works!

答案 1 :(得分：1)

以下是用于从中提取细节的Scrapy代码的更正    DMOZ：

import scrapy

class MozSpider(scrapy.Spider):
name = "moz"
allowed_domains = ["www.dmoz.org"]
start_urls = ['http://www.dmoz.org/Computers/Programming/Languages/Python/Books/',
'http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/']

    def parse(self, response):
        sites = response.xpath('//div[@class="title-and-desc"]')
        for site in sites:
            name = site.xpath('a/div[@class="site-title"]/text()').extract_first()
            url = site.xpath('a/@href').extract_first()
            description = site.xpath('div[@class="site-descr "]/text()').extract_first().strip()

            yield{'Name':name, 'URL':url, 'Description':description}


要将其导出为CSV，请打开终端/ CMD中的蜘蛛文件夹，然后键入：

scrapy crawl moz -o result.csv



这是另一个基本的Scrapy教程：从YellowPages中提取公司详细信息：

import scrapy

class YlpSpider(scrapy.Spider):
name = "ylp"
allowed_domains = ["www.yellowpages.com"]
start_urls = ['http://www.yellowpages.com/search?search_terms=Translation&geo_location_terms=Virginia+Beach%2C+VA']


    def parse(self, response):
        companies = response.xpath('//*[@class="info"]')

        for company in companies:
            name = company.xpath('h3/a/span[@itemprop="name"]/text()').extract_first()
            phone = company.xpath('div/div[@class="phones phone primary"]/text()').extract_first()
            website = company.xpath('div/div[@class="links"]/a/@href').extract_first()

            yield{'Name':name,'Phone':phone, 'Website':website}


要将其导出为CSV，请打开终端/ CMD中的蜘蛛文件夹，然后键入：

scrapy crawl ylp -o result.csv



此Scrapy代码用于从Yelp中提取公司详细信息：

import scrapy

class YlpSpider(scrapy.Spider):
    name = "yelp"
    allowed_domains = ["www.yelp.com"]
    start_urls = ['https://www.yelp.com/search?find_desc=Java+Developer&find_loc=Denver,+CO']


    def parse(self, response):
        companies = response.xpath('//*[@class="biz-listing-large"]')

        for company in companies:
            name = company.xpath('.//span[@class="indexed-biz-name"]/a/span/text()').extract_first()
            address1 = company.xpath('.//address/text()').extract_first('').strip()
            address2 = company.xpath('.//address/text()[2]').extract_first('').strip()  # '' means the default attribute if not found to avoid adding None.
            address = address1 + " - " + address2
            phone = company.xpath('.//*[@class="biz-phone"]/text()').extract_first().strip()
            website = "https://www.yelp.com" + company.xpath('.//@href').extract_first()

            yield{'Name':name, 'Address':address, 'Phone':phone, 'Website':website}


要将其导出为CSV，请打开终端/ CMD中的蜘蛛文件夹，然后键入：

scrapy crawl yelp -o result.csv



  • 这是一个关于Scrapy的综合在线课程：

https://www.udemy.com/scrapy-tutorial-web-scraping-with-python/?couponCode=STACK39243009-SCRAPY


一切顺利！

答案 2 :(得分：0)

创建您的网络爬虫是一个好主意，但您也可以使用来自 ProxyCrawl 和 Scrapy 的预先构建的网络爬虫 API，该 API 已得到证明，许多用户正在使用它来获得他们想要的结果。另一方面，要使用scrapy创建python网络爬虫，您可以尝试以下代码。

源代码：

import scrapy

class BlogSpider(scrapy.Spider): 
    name = 'blogspider'
    start_urls = ['https://blog.scrapinghub.com']

    def parse(self, response):
        for title in response.css('.post-header>h2'):
        yield {'title': title.css('a ::text').get()}
        for next_page in response.css('a.next-posts-link'):
            yield response.follow(next_page, self.parse)
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