4.4 KiB
Common Practices
The section documents sommon common practices when using Scrapy. These are things that don't often fall into other specific sections, or cover many of them.
Run Scrapy from a script
You can use the :ref:`API <topics-api>` to run script from a script, instead of the typical way of running Scrapy via scrapy crawl.
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Unknown interpreted text role "ref".What follows is a working example of how to do that, using the testspiders project as example. Remember that Scrapy is asynchronous so you need run inside the Twisted reactor.
from twisted.internet import reactor from scrapy.crawler import Crawler from scrapy.settings import Settings from scrapy import log from testspiders.spiders.followall import FollowAllSpider spider = FollowAllSpider(domain='scrapinghub.com') crawler = Crawler(Settings()) crawler.configure() crawler.crawl(spider) crawler.start() log.start() reactor.run() # the script will block here
Running multiple spiders in the same process
By default, Scrapy runs a single spider per process when you run scrapy crawl. However, Scrapy supports running multiple spiders per process if you use the :ref:`internal API <topics-api>`.
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Unknown interpreted text role "ref".Here is an example, using the testspiders project:
from twisted.internet import reactor
from scrapy.crawler import Crawler
from scrapy.settings import Settings
from scrapy import log
from testspiders.spiders.followall import FollowAllSpider
def setup_crawler(domain):
spider = FollowAllSpider(domain=domain)
crawler = Crawler(Settings())
crawler.configure()
crawler.crawl(spider)
crawler.start()
for domain in ['scrapinghub.com', 'insophia.com']:
setup_crawler(domain)
log.start()
reactor.run()
See also: :ref:`run-from-script`.
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Unknown interpreted text role "ref".Distributed crawls
Scrapy doesn't provide any built-in facility to distribute crawls, however there are some ways to distribute crawls, depending on what kind of crawling you do.
If you have many spiders, the obvious way to distribute the load is to setup many Scrapyd instances and distribute spider runs among those.
If you instead want to run a single (big) spider through many machines, what you usually do is to partition the urls to crawl and send them to each separate spider. Here is a concrete example:
First, you prepare a list of urls to crawl and put them into separate files/urls:
http://somedomain.com/urls-to-crawl/spider1/part1.list http://somedomain.com/urls-to-crawl/spider1/part2.list http://somedomain.com/urls-to-crawl/spider1/part3.list
Then you would fire a spider run on 3 different Scrapyd servers. The spider would receive a spider argument part with the number of the partition to crawl:
curl http://scrapy1.mycompany.com:6800/schedule.json -d project=myproject -d spider=spider1 -d part=1 curl http://scrapy2.mycompany.com:6800/schedule.json -d project=myproject -d spider=spider1 -d part=2 curl http://scrapy3.mycompany.com:6800/schedule.json -d project=myproject -d spider=spider1 -d part=3
Avoiding getting banned
Some websites implement certain measures to prevent bots from crawling them, with varying degrees of sophistication. Getting around those measures can be difficult and tricky, and may sometimes require special infrastructure. Please consider contacting commercial support if in doubt.
Here are some tips to keep in mind when dealing with these kind of sites:
rotate your user agent from a pool of well-known ones from browsers (google around to get a list of them)
disable cookies (see :setting:`COOKIES_ENABLED`) as some sites may use cookies to spot bot behaviour
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use download delays (2 or higher). See :setting:`DOWNLOAD_DELAY` setting.
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is possible, use Google cache to fetch pages, instead of hitting the sites directly
use a pool of rotating IPs. For example, the free Tor project or paid services like ProxyMesh
If you are still unable to prevent your bot getting banned, consider contacting commercial support.