<ENGLISH>
Hello - I hope you have a good day. Happy weekend should be happy cording day 
Ok, today I will not proceed the scripting and I'd like to modify previous script. The script is below from #2:
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
c = 0
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
break
c += 1
response = urllib2.urlopen(url)
html = response.read()
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
text = ""
for con in tag.contents:
p = re.compile(r'<.*?>')
text += p.sub('', con.encode('utf8'))
Yes, it works, but want to use (1) BeautifulSoup instead of regular expression and (2)Hash list instead of counting inside for.
(1) BeautifulSoup
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
text = ""
for con in tag.contents:
p = re.compile(r'<.*?>')
text += p.sub('', con.encode('utf8'))
Regular Expression is strong tool, but I have to learn BeautifulSoup more. Beautiful Soup is using unique type for it's string, and we can check how to use it in user's guide.
I modified it as below.
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
soup2 = BeautifulSoup(tag.encode('utf8'), "lxml")
print "".join([string.encode('utf8') for string in soup2.strings])
Looks smarter? 
you got another soup for getting strings. Which do you like?
(2) Hash List for splitting.
Watch out!
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
c = 0
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
break
c += 1
To get splitter strings for each web site, used c as count up integer. That's not cool. So I modified as below.
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
numHash = {}
for i in range(len(scraper)):
numHash[scraper[i][0]] = i
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
c = numHash[domain[0]]
break
yes, it becomes longer, but I think it's much better than previous, isn't it?
Great, next I hope I can proceed to next step... It will be getting elements for learning.
<日本語>
はい、どーも。週末ですね。よい週末を迎えるためにもコーディングにいそしみましょう。
今日は次の進める前に#2でやったスクリプトを修正したいと思います。こちらですね。
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
c = 0
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
break
c += 1
response = urllib2.urlopen(url)
html = response.read()
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
text = ""
for con in tag.contents:
p = re.compile(r'<.*?>')
text += p.sub('', con.encode('utf8'))
これでも動くんですが・・・変更点としては（１）タグ除去を正規表現ではなくBeautifulSoupを使う のと、（２）区切り文字の選択にカウントアップではなく、ハッシュリストを使う といった点になります。
(1) BeautifulSoupを使う
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
text = ""
for con in tag.contents:
p = re.compile(r'<.*?>')
text += p.sub('', con.encode('utf8'))
正規表現はとても便利なのですが、せっかくのBeautifulSoupをもっと有効にできないかとおもった次第です。BSで、中の文字列の抜出のためのツールはそろいまくっているんですが、独特の文字列形式があるので、最初はとっつきにくかった。でもしっかりドキュメント化もされているので、あとは使いまくって慣れるしかないですかね。
で、変更後がこれだっ！
soup = BeautifulSoup( html, "lxml" )
soup.originalEnoding
tag = soup.find( scraper[c][1], {scraper[c][2] : scraper[c][3]})
soup2 = BeautifulSoup(tag.encode('utf8'), "lxml")
print "".join([string.encode('utf8') for string in soup2.strings])
かっこよくなった気がしませんか？スープをもう一回お代わりして、タグの中の文字列を引き出すように変更しました。
(2) 区切り文字にハッシュリストを使う
ここのこと。
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
c = 0
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
break
c += 1
C変数をカウントアップして、区切り文字の番号を調整しているような形。うーんなんかぶちゃいく？で、素敵に大変身。
scraper = [
["hatenablog.com","div","class","entry-content"],
["qiita.com","section","itemprop", "articleBody"]
]
numHash = {}
for i in range(len(scraper)):
numHash[scraper[i][0]] = i
for domain in scraper:
print url, domain[0]
if re.search( domain[0], url):
c = numHash[domain[0]]
break
予想に反してスクリプトが長くなってしまいました。でもこっちのほうがとっても好きです。もうちょっときれいにできるかなぁ。
というわけで、今回は自己満足的な修正をほどこしました。次回は次に進めるかと思います。学習もととなるリンクとタグリストのスクレイピングです。いつ機械学習にたどりつけるのでしょうか。。。そろそろ詐欺といわれそう。