如何将一个简单的项目与 scrapy 项目结合起来?

How can I combine a simple project with scrapy project?

我有一个 scrapy 项目的例子。这几乎是默认的。它的文件夹结构:

craiglist_sample/
├── craiglist_sample
│   ├── __init__.py
│   ├── items.py
│   ├── pipelines.py
│   ├── settings.py
│   └── spiders
│       ├── __init__.py
│       ├── test.py
└── scrapy.cfg

当您将 scrapy crawl craigs -o items.csv -t csv 写入 windows 命令提示符时,它会将 craiglist 项目和链接写入控制台。

我想在主文件夹中创建一个 example.py 并将这些项目打印到其中的 python 控制台。

我试过了

 from scrapy import cmdline
cmdline.execute("scrapy crawl craigs".split())

但它写的和 windows shell 输出一样。我怎样才能让它只打印项目和列表?

test.py :

from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from craiglist_sample.items import CraiglistSampleItem

class MySpider(CrawlSpider):
    name = "craigs"
##    allowed_domains = ["sfbay.craigslist.org"]
##    start_urls = ["http://sfbay.craigslist.org/npo/"]
    allowed_domains = ["craigslist.org"]
    start_urls = ["http://sfbay.tr.craigslist.org/search/npo?"]

##search\/npo\?s=
    rules = (Rule (SgmlLinkExtractor(allow=('s=\d00',),restrict_xpaths=('//a[@class="button next"]',))
    , callback="parse_items", follow= True),
    )

    def parse_items(self, response):
        hxs = HtmlXPathSelector(response)
        titles = hxs.select('//span[@class="pl"]')
##        titles = hxs.select("//p[@class='row']")
        items = []
        for titles in titles:
            item = CraiglistSampleItem()
            item ["title"] = titles.select("a/text()").extract()
            item ["link"] = titles.select("a/@href").extract()
            items.append(item)
        return(items)

一种方法是关闭 scrapy 的默认 shell 输出并在 parse_items 函数中插入打印命令。

1 - 关闭文件 settings.py

中的调试级别
LOG_ENABLED = False

关于 Scrapy 中日志级别的文档:http://doc.scrapy.org/en/latest/topics/logging.html

2 - 为您感兴趣的项目添加打印命令

for titles in titles:
        item = CraiglistSampleItem()
        item ["title"] = titles.select("a/text()").extract()
        item ["link"] = titles.select("a/@href").extract()
        items.append(item)
        print item ["title"], item ["link"]

shell 输出将是:

[u'EXECUTIVE ASSISTANT'] [u'/eby/npo/4848086929.html']

[u'Direct Support Professional'] [u'/eby/npo/4848043371.html']

[u'Vocational Counselor'] [u'/eby/npo/4848042572.html']

[u'Day Program Supervisor'] [u'/eby/npo/4848041846.html']

[u'Educational Specialist'] [u'/eby/npo/4848040348.html']

[u'ORGANIZE WITH GREENPEACE - Grassroots Nonprofit Job!']

[u'/eby/npo/4847984654.html']

编辑从脚本执行的代码

import os
os.system('scrapy crawl craigs > log.txt')

在python中还有其他几种执行行程序的方法。 检查 Executing command line programs from within python and Calling an external command in Python