Redis-based components for Scrapy.

• Usage: https://github.com/rmax/scrapy-redis/wiki/Usage
• Documentation: https://github.com/rmax/scrapy-redis/wiki.
• Release: https://github.com/rmax/scrapy-redis/wiki/History
• Contribution: https://github.com/rmax/scrapy-redis/wiki/Getting-Started
• LICENSE: MIT license

• Distributed crawling/scraping

  You can start multiple spider instances that share a single redis queue. Best suitable for broad multi-domain crawls.

• Distributed post-processing

  Scraped items gets pushed into a redis queued meaning that you can start as many as needed post-processing processes sharing the items queue.

• Scrapy plug-and-play components

  Scheduler + Duplication Filter, Item Pipeline, Base Spiders.

• In this forked version: added json supported data in Redis

  data contains url, `meta` and other optional parameters. meta is a nested json which contains sub-data. this function extract this data and send another FormRequest with url, meta and addition formdata.

  For example:

  { "url": "https://exaple.com", "meta": {"job-id":"123xsd", "start-date":"dd/mm/yy"}, "url_cookie_key":"fertxsas" }

  this data can be accessed in scrapy spider through response. like: request.url, request.meta, request.cookies

• Python 3.7+
• Redis >= 5.0
• Scrapy >= 2.0
• redis-py >= 4.0

From pip

pip install scrapy-redis

From GitHub

git clone https://github.com/darkrho/scrapy-redis.git
cd scrapy-redis
python setup.py install

pip uninstall scrapy-redis

Frontera is a web crawling framework consisting of crawl frontier, and distribution/scaling primitives, allowing to build a large scale online web crawler.