python中scrapy处理项目数据的实例分析

$ git clone https://github.com/jonbakerfish/TweetScraper.git

$ cd TweetScraper/

$ pip install -r requirements.txt #add '--user' if you are not root

$ scrapy list

$ #If the output is 'TweetScraper', then you are ready to go.

ITEM_PIPELINES = {  # 'TweetScraper.pipelines.SaveToFilePipeline':100,
#'TweetScraper.pipelines.SaveToMongoPipeline':100, # replace `SaveToFilePipeline` with this to use MongoDB
  'TweetScraper.pipelines.SavetoMySQLPipeline':100, # replace `SaveToFilePipeline` with this to use MySQL
}
#settings for mysql
MYSQL_SERVER = "18.126.219.16"
MYSQL_DB   = "scraper"
MYSQL_TABLE = "tweets" # the table will be created automatically
MYSQL_USER  = "root"    # MySQL user to use (should have INSERT access granted to the Database/Table
MYSQL_PWD  = "admin123456"    # MySQL user's password

from scrapy.spider import BaseSpider
class DmozSpider(BaseSpider):
name = "dmoz"
allowed_domains = ["dmoz.org"]
start_urls = [
  "http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",
  "http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/"
]
def parse(self, response):
  filename = response.url.split("/")[-2]
  open(filename, 'wb').write(response.body)