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来自json的脚本输出的scrapy

[英]scrapy from script output in json

I am running scrapy in a python script 我在python脚本中运行scrapy

def setup_crawler(domain):
    dispatcher.connect(stop_reactor, signal=signals.spider_closed)
    spider = ArgosSpider(domain=domain)
    settings = get_project_settings()
    crawler = Crawler(settings)
    crawler.configure()
    crawler.crawl(spider)
    crawler.start()
    reactor.run()

it runs successfully and stops but where is the result ? 它成功运行并停止但结果在哪里? I want the result in json format, how can I do that? 我希望结果采用json格式,我该怎么做?

result = responseInJSON

like we do using command 就像我们使用命令一样

scrapy crawl argos -o result.json -t json

You need to set FEED_FORMAT and FEED_URI settings manually: 您需要手动设置FEED_FORMATFEED_URI设置:

settings.overrides['FEED_FORMAT'] = 'json'
settings.overrides['FEED_URI'] = 'result.json'

If you want to get the results into a variable you can define a Pipeline class that would collect items into the list. 如果要将结果输入变量,可以定义一个将项目收集到列表中的Pipeline类。 Use the spider_closed signal handler to see the results: 使用spider_closed信号处理程序查看结果:

import json

from twisted.internet import reactor
from scrapy.crawler import Crawler
from scrapy import log, signals
from scrapy.utils.project import get_project_settings


class MyPipeline(object):
    def process_item(self, item, spider):
        results.append(dict(item))

results = []
def spider_closed(spider):
    print results

# set up spider    
spider = TestSpider(domain='mydomain.org')

# set up settings
settings = get_project_settings()
settings.overrides['ITEM_PIPELINES'] = {'__main__.MyPipeline': 1}

# set up crawler
crawler = Crawler(settings)
crawler.signals.connect(spider_closed, signal=signals.spider_closed)
crawler.configure()
crawler.crawl(spider)

# start crawling
crawler.start()
log.start()
reactor.run() 

FYI, look at how Scrapy parses command-line arguments . 仅供参考,看看Scrapy如何解析命令行参数

Also see: Capturing stdout within the same process in Python . 另请参阅: 在Python中的同一进程中捕获stdout

I managed to make it work simply by adding the FEED_FORMAT and FEED_URI to the CrawlerProcess constructor, using the basic Scrapy API tutorial code as follows: 我设法通过将FEED_FORMATFEED_URI添加到CrawlerProcess构造函数来使其工作,使用基本的Scrapy API教程代码,如下所示:

process = CrawlerProcess({
'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)',
'FEED_FORMAT': 'json',
'FEED_URI': 'result.json'
})

Easy! 简单!

from scrapy import cmdline

cmdline.execute("scrapy crawl argos -o result.json -t json".split())

Put that script where you put scrapy.cfg 把那个脚本放在你放scrapy.cfg

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