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dockerfiles/scrapyd
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kev 299d84de53 add scrapyrt tutorial for scrapyd
2018-01-25 15:01:53 +08:00
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arm fix scrapyd 2018-01-23 23:01:57 +08:00
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docker-compose.yml add scrapyrt tutorial for scrapyd 2018-01-25 15:01:53 +08:00
Dockerfile fix scrapyd 2018-01-23 23:01:57 +08:00
README.md add scrapyrt tutorial for scrapyd 2018-01-25 15:01:53 +08:00
scrapyd.conf Update scrapyd.conf 2017-04-29 01:32:32 -03:00

README.md

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.

scrapy-splash provides Scrapy+JavaScript integration using Splash.

scrapyrt allows you to easily add HTTP API to your existing Scrapy project.

pillow is the Python Imaging Library to support the ImagesPipeline.

This image is based on debian:stretch, 6 latest python packages are installed:

Please use this as base image for your own project.

docker-compose.yml

scrapyd:
  image: vimagick/scrapyd
  ports:
    - "6800:6800"
  volumes:
    - ./data:/var/lib/scrapyd
    - /usr/local/lib/python2.7/dist-packages
  restart: always

scrapy:
  image: vimagick/scrapyd
  command: bash
  volumes:
    - .:/code
  working_dir: /code
  restart: always

scrapyrt:
  image: vimagick/scrapyd
  command: scrapyrt -i 0.0.0.0 -p 9080
  ports:
    - "9080:9080"
  volumes:
    - .:/code
  working_dir: /code
  restart: always

Run it as background-daemon for scrapyd

$ docker-compose up -d scrapyd
$ docker-compose logs -f scrapyd
$ docker cp scrapyd_scrapyd_1:/var/lib/scrapyd/items .
$ tree items
└── myproject
    └── myspider
        └── ad6153ee5b0711e68bc70242ac110005.jl

$ mkvirtualenv webbot
$ pip install scrapy scrapyd-client

$ scrapy startproject myproject
$ cd myproject
$ setvirtualenvproject

$ scrapy genspider myspider mydomain.com
$ scrapy edit myspider
$ scrapy list

$ vi scrapy.cfg
$ scrapyd-client deploy
$ curl http://localhost:6800/schedule.json -d project=myproject -d spider=myspider
$ firefox http://localhost:6800

File: scrapy.cfg

[settings]
default = myproject.settings

[deploy]
url = http://localhost:6800/
project = myproject

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-compose run --rm scrapy
>>> scrapy runspider stackoverflow_spider.py -o top-stackoverflow-questions.json
>>> cat top-stackoverflow-questions.json
>>> exit

Run it as realtime crawler for scrapyrt

$ git clone https://github.com/scrapy/quotesbot.git .
$ docker-compose up -d scrapyrt
$ curl -s 'http://localhost:9080/crawl.json?spider_name=toscrape-css&callback=parse&url=http://quotes.toscrape.com/&max_requests=5' | jq -c '.items[]'