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Redis-based components for Scrapy.
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:
.. code-block:: json
{ "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
.. note:: This features cover the basic case of distributing the workload across multiple workers. If you need more features like URL expiration, advanced URL prioritization, etc., we suggest you to take a look at the Frontera_ project.
Scrapy
>= 2.0redis-py
>= 4.0From pip
.. code-block:: bash
pip install scrapy-redis
From GitHub
.. code-block:: bash
git clone https://github.com/darkrho/scrapy-redis.git
cd scrapy-redis
python setup.py install
.. note:: For using this json supported data feature, please make sure you have not installed the scrapy-redis through pip. If you already did it, you first uninstall that one.
.. code-block:: bash
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.
.. _Frontera: https://github.com/scrapinghub/frontera .. _crawl frontier: http://nlp.stanford.edu/IR-book/html/htmledition/the-url-frontier-1.html