Public | Automated Build

Last pushed: 8 days ago
Short Description
An open source and collaborative framework for extracting the data you need from websites.
Full Description


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.


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

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

  image: vimagick/scrapyd
  command: scrapyrt -i -p 9080
    - "9080:9080"
    - .:/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
$ 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

default = myproject.settings

url = http://localhost:6800/
project = myproject

Run it as interactive-shell for scrapy

$ cat > << _EOF_
import scrapy

class StackOverflowSpider(scrapy.Spider):
    name = 'stackoverflow'
    start_urls = ['']

    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,

$ docker-compose run --rm scrapy
>>> scrapy runspider -o top-stackoverflow-questions.json
>>> cat top-stackoverflow-questions.json
>>> exit

Run it as realtime crawler for scrapyrt

$ git clone .
$ docker-compose up -d scrapyrt
$ curl -s 'http://localhost:9080/crawl.json?spider_name=toscrape-css&callback=parse&url=' | jq -c '.items[]'
Docker Pull Command
Source Repository