dockerfiles/scrapyd/py3

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:buster, 6 latest python packages are installed:

• scrapy: git+https://github.com/scrapy/scrapy.git
• scrapyd: git+https://github.com/scrapy/scrapyd.git
• scrapyd-client: git+https://github.com/scrapy/scrapyd-client.git
• scrapy-splash: git+https://github.com/scrapinghub/scrapy-splash.git
• scrapyrt: git+https://github.com/scrapinghub/scrapyrt.git
• pillow: git+https://github.com/python-pillow/Pillow.git

Please use this as base image for your own project.

⚠️ Scrapy has dropped support for Python 2.7, which reached end-of-life on 2020-01-01.

docker-compose.yml

version: "3.8"

services:

  scrapyd:
    image: vimagick/scrapyd:py3
    ports:
      - "6800:6800"
    volumes:
      - ./data:/var/lib/scrapyd
      - /usr/local/lib/python3.9/dist-packages
    restart: unless-stopped

  scrapy:
    image: vimagick/scrapyd:py3
    command: bash
    volumes:
      - .:/code
    working_dir: /code
    restart: unless-stopped

  scrapyrt:
    image: vimagick/scrapyd:py3
    command: scrapyrt -i 0.0.0.0 -p 9080
    ports:
      - "9080:9080"
    volumes:
      - .:/code
    working_dir: /code
    restart: unless-stopped

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 -p python3 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 div[itemprop="upvoteCount"]::text').extract()[0],
            'body': response.css('.question .postcell').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.jl
>>> cat top-stackoverflow-questions.jl
>>> 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[]'