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ã®ã§ç½®ãã¦ãã(scrapy.tar.gz)ããããªæãã§ä½¿ããï¼ from scrapy import scraper, process twitter = scraper( process('.vcard > .fn', name='TEXT'), process('.entry-content', {'entries[]': 'TEXT'}), result=('name', 'entries') ) username = 'uasi' r = twitter.scrape(url='http://twitter.com/%s' % username) print "%s's tweets" % r['name'] print for entry in r['entries']: print entry.strip() scrapy/__init__.py # -*- coding:
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ScraperWiki has two new names! One for the product and one for the company: QuickCode is the new name for the original ScraperWiki product. We renamed it, as it isnât a wiki or just for scraping any more. Itâs a Python and R data analysis environment, ideal for economists, statisticians and data managers who are new to coding.
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