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161 lines
4.5 KiB
Markdown
161 lines
4.5 KiB
Markdown
scrapyd
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=======
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> :warning: THIS PROJECT WAS MOVED TO: https://github.com/EasyPi/docker-scrapyd
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[scrapy][1] is an open source and collaborative framework for extracting the
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data you need from websites. In a fast, simple, yet extensible way.
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[scrapyd][2] is a service for running Scrapy spiders. It allows you to deploy
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your Scrapy projects and control their spiders using a HTTP JSON API.
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[scrapyd-client][3] is a client for scrapyd. It provides the scrapyd-deploy
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utility which allows you to deploy your project to a Scrapyd server.
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[scrapy-splash][4] provides Scrapy+JavaScript integration using Splash.
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[scrapyrt][5] allows you to easily add HTTP API to your existing Scrapy project.
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[Spidermon][6] is a framework to build monitors for Scrapy spiders.
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[pillow][7] is the Python Imaging Library to support the ImagesPipeline.
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This image is based on `debian:buster`, 7 latest python packages are installed:
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- `scrapy`: git+https://github.com/scrapy/scrapy.git
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- `scrapyd`: git+https://github.com/scrapy/scrapyd.git
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- `scrapyd-client`: git+https://github.com/scrapy/scrapyd-client.git
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- `scrapy-splash`: git+https://github.com/scrapinghub/scrapy-splash.git
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- `scrapyrt`: git+https://github.com/scrapinghub/scrapyrt.git
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- `spidermon`: git+https://github.com/scrapinghub/spidermon.git
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- `pillow`: git+https://github.com/python-pillow/Pillow.git
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Please use this as base image for your own project.
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:warning: Scrapy has dropped support for Python 2.7, which reached end-of-life on 2020-01-01.
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## docker-compose.yml
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```yaml
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version: "3.8"
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services:
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scrapyd:
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image: vimagick/scrapyd:py3
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ports:
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- "6800:6800"
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volumes:
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- ./data:/var/lib/scrapyd
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- /usr/local/lib/python3.9/dist-packages
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restart: unless-stopped
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scrapy:
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image: vimagick/scrapyd:py3
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command: bash
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volumes:
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- .:/code
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working_dir: /code
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restart: unless-stopped
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scrapyrt:
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image: vimagick/scrapyd:py3
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command: scrapyrt -i 0.0.0.0 -p 9080
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ports:
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- "9080:9080"
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volumes:
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- .:/code
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working_dir: /code
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restart: unless-stopped
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```
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## Run it as background-daemon for scrapyd
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```bash
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$ docker-compose up -d scrapyd
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$ docker-compose logs -f scrapyd
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$ docker cp scrapyd_scrapyd_1:/var/lib/scrapyd/items .
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$ tree items
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└── myproject
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└── myspider
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└── ad6153ee5b0711e68bc70242ac110005.jl
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```
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```bash
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$ mkvirtualenv -p python3 webbot
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$ pip install scrapy scrapyd-client
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$ scrapy startproject myproject
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$ cd myproject
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$ setvirtualenvproject
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$ scrapy genspider myspider mydomain.com
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$ scrapy edit myspider
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$ scrapy list
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$ vi scrapy.cfg
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$ scrapyd-client deploy
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$ curl http://localhost:6800/schedule.json -d project=myproject -d spider=myspider
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$ firefox http://localhost:6800
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```
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File: scrapy.cfg
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```ini
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[settings]
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default = myproject.settings
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[deploy]
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url = http://localhost:6800/
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project = myproject
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```
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## Run it as interactive-shell for scrapy
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```bash
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$ cat > stackoverflow_spider.py << _EOF_
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import scrapy
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class StackOverflowSpider(scrapy.Spider):
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name = 'stackoverflow'
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start_urls = ['http://stackoverflow.com/questions?sort=votes']
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def parse(self, response):
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for href in response.css('.question-summary h3 a::attr(href)'):
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full_url = response.urljoin(href.extract())
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yield scrapy.Request(full_url, callback=self.parse_question)
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def parse_question(self, response):
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yield {
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'title': response.css('h1 a::text').extract()[0],
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'votes': response.css('.question div[itemprop="upvoteCount"]::text').extract()[0],
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'body': response.css('.question .postcell').extract()[0],
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'tags': response.css('.question .post-tag::text').extract(),
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'link': response.url,
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}
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_EOF_
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$ docker-compose run --rm scrapy
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>>> scrapy runspider stackoverflow_spider.py -o top-stackoverflow-questions.jl
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>>> cat top-stackoverflow-questions.jl
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>>> exit
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```
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## Run it as realtime crawler for scrapyrt
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```bash
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$ git clone https://github.com/scrapy/quotesbot.git .
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$ docker-compose up -d scrapyrt
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$ 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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```
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[1]: https://github.com/scrapy/scrapy
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[2]: https://github.com/scrapy/scrapyd
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[3]: https://github.com/scrapy/scrapyd-client
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[4]: https://github.com/scrapinghub/scrapy-splash
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[5]: https://github.com/scrapinghub/scrapyrt
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[6]: https://github.com/scrapinghub/spidermon
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[7]: https://github.com/python-pillow/Pillow
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