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.
spidermon is a framework to build monitors for Scrapy spiders.
scrapy-poet is the web-poet Page Object pattern implementation for Scrapy.
This image is based on debian:bullseye, seven latest stable python packages are installed:
- scrapy==2.8.0
- scrapyd==1.4.0
- scrapyd-client==v1.2.3
- scrapy-splash==latest
- scrapyrt==v0.13
- spidermon==1.17.1
- scrapy-poet==0.8.0
Please use this as base image for your own project.
version: "3.8"
services:
scrapyd:
image: easypi/scrapyd
ports:
- "6800:6800"
volumes:
- ./data:/var/lib/scrapyd
- /usr/local/lib/python3.9/dist-packages
restart: unless-stopped
scrapy:
image: easypi/scrapyd
command: bash
volumes:
- .:/code
working_dir: /code
restart: unless-stopped
scrapyrt:
image: easypi/scrapyd
command: scrapyrt -i 0.0.0.0 -p 9080
ports:
- "9080:9080"
volumes:
- .:/code
working_dir: /code
restart: unless-stopped$ 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:6800File: scrapy.cfg
[settings]
default = myproject.settings
[deploy]
url = http://localhost:6800/
project = myproject$ 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$ 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[]'
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