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Dockerfile | ||
README.md | ||
scrapyd.conf |
scrapyd
Scrapy is an open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
Scrapyd is a service for running Scrapy spiders. It allows you to deploy your Scrapy projects and control their spiders using a HTTP JSON API.
Scrapyd-client is a client for scrapyd. It provides the scrapyd-deploy utility which allows you to deploy your project to a Scrapyd server.
ScrapyJS provides Scrapy+JavaScript integration using Splash.
This image is based on debian:jessie
without any useless packages installed.
Only 4 latest python packages are installed:
scrapy
: git+https://github.com/scrapy/scrapy.gitscrapyd
: git+https://github.com/scrapy/scrapyd.gitscrapyd-client
: git+https://github.com/scrapy/scrapyd-client.gitscrapyjs
: git+https://github.com/scrapinghub/scrapy-splash.git
Please use this image as base for your own project.
Run it as background-daemon for scrapyd
$ docker run -d --restart always --name scrapyd -p 6800:6800 vimagick/scrapyd
$ firefox http://localhost:6800
Run it as interactive-shell for scrapy
$ 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_
$ docker run -it --rm -v `pwd`:/code -w /code vimagick/scrapyd bash
>>> scrapy runspider stackoverflow_spider.py -o top-stackoverflow-questions.json
>>> cat top-stackoverflow-questions.json
>>> exit