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다나와 크롤링 이슈 수정 #6

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다나와 크롤링 이슈 수정 #6

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7 changes: 7 additions & 0 deletions 02_개정판/7_Best_Product/7_1&2_Crawling.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -133,6 +133,7 @@
" spec_list = prod_item.select('div.spec_list')[0].text.strip()\n",
" # ③ 가격 정보 가져오기 \n",
" price = prod_item.select('li.rank_one > p.price_sect > a > strong')[0].text.strip().replace(\",\", \"\")\n",
" price = int(price) # 문자열 => 숫자형 변환\n",
" prod_data.append([title, spec_list, price])\n",
" except:\n",
" pass # 진행시 에러가 발생할 경우(광고 상품 등) 넘어가기\n",
Expand All @@ -159,6 +160,7 @@
" spec_list = prod_item.select('div.spec_list')[0].text.strip()\n",
" # ③ 가격 정보 가져오기\n",
" price = prod_item.select('li.rank_one > p.price_sect > a > strong')[0].text.strip().replace(\",\", \"\")\n",
" price = int(price) # 문자열 => 숫자형 변환\n",
" prod_data.append([title, spec_list, price])\n",
" except:\n",
" pass # 진행시 에러가 발생할 경우(광고 상품 등) 넘어가기\n",
Expand Down Expand Up @@ -363,6 +365,11 @@
"outputs": [],
"source": [
"# 예제 7-19 첫 번째 제품의 스펙 목록 분리\n",
"\n",
"# 스펙 목록에서 탭과 개행 문자를 제거하는 코드를 상단에 추가 \n",
"data['스펙 목록'] = data['스펙 목록'].str.replace('\\t', '')\n",
"data['스펙 목록'] = data['스펙 목록'].str.replace('\\n', '')\n",
"\n",
"spec_list = data['스펙 목록'][0].split(' / ')\n",
"spec_list "
]
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5 changes: 5 additions & 0 deletions 02_개정판/7_Best_Product/7_3_preprocessing.ipynb
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Expand Up @@ -66,6 +66,11 @@
"outputs": [],
"source": [
"# 예제 7-19 첫 번째 제품의 스펙 목록 분리\n",
"\n",
"# 스펙 목록에서 탭과 개행 문자를 제거하는 코드를 상단에 추가 \n",
"data['스펙 목록'] = data['스펙 목록'].str.replace('\\t', '')\n",
"data['스펙 목록'] = data['스펙 목록'].str.replace('\\n', '')\n",
"\n",
"spec_list = data['스펙 목록'][0].split(' / ')\n",
"spec_list "
]
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2 changes: 1 addition & 1 deletion 02_개정판/7_Best_Product/7_4_Product_Analysis.ipynb
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Expand Up @@ -248,7 +248,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.7.3"
}
},
"nbformat": 4,
Expand Down