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dockerfiles/scrapyd/README.md

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scrapyd
=======
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![](http://dockeri.co/image/vimagick/scrapyd)
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[Scrapy][1] is an open source and collaborative framework for extracting the
data you need from websites. In a fast, simple, yet extensible way.
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[Scrapyd][2] is a service for running Scrapy spiders. It allows you to deploy
your Scrapy projects and control their spiders using a HTTP JSON API.
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[Scrapyd-client][3] is a client for scrapyd. It provides the scrapyd-deploy
utility which allows you to deploy your project to a Scrapyd server.
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This image is based on `debian:jessie` without any useless packages installed.
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Only 3 latest python packages are installed:
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- `scrapy`: git+https://github.com/scrapy/scrapy.git
- `scrapyd`: git+https://github.com/scrapy/scrapyd.git
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- `scrapyd-client`: git+https://github.com/scrapy/scrapyd-client.git
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Please use this image as base for your own project.
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## Run it as background-daemon for scrapyd
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```
$ docker run -d --restart always --name scrapyd -p 6800:6800 vimagick/scrapyd
$ firefox http://localhost:6800
```
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## Run it as interactive-shell for scrapy
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```
$ cat > stackoverflow_spider.py << _EOF_
import scrapy
class StackOverflowSpider(scrapy.Spider):
name = 'stackoverflow'
start_urls = ['http://stackoverflow.com/questions?sort=votes']
def parse(self, response):
for href in response.css('.question-summary h3 a::attr(href)'):
full_url = response.urljoin(href.extract())
yield scrapy.Request(full_url, callback=self.parse_question)
def parse_question(self, response):
yield {
'title': response.css('h1 a::text').extract()[0],
'votes': response.css('.question .vote-count-post::text').extract()[0],
'body': response.css('.question .post-text').extract()[0],
'tags': response.css('.question .post-tag::text').extract(),
'link': response.url,
}
_EOF_
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$ docker run -it --rm -v `pwd`:/code -w /code vimagick/scrapyd bash
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>>> scrapy runspider stackoverflow_spider.py -o top-stackoverflow-questions.json
>>> cat top-stackoverflow-questions.json
>>> exit
```
[1]: https://github.com/scrapy/scrapy
[2]: https://github.com/scrapy/scrapyd
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[3]: https://github.com/scrapy/scrapyd-client