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spider.py
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spider.py
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# coding=utf-8
import os
import re
import codecs
import requests
from bs4 import BeautifulSoup
import pandas as pd
base_url1 = "http://chengyu.t086.com/"
base_url2 = "https://chengyu.qianp.com/"
base_url3 = "https://cy.hwxnet.com/"
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'}
def get_all_chengyu1():
p1 = "ABCDEFGHJKLMNOPQRSTWXYZ"
p2 = 100
cy_urls = []
cys = []
for pp1 in p1:
for pp2 in range(1, p2):
url = os.path.join(base_url1, "list/{}_{}.html".format(pp1, pp2))
print(url)
data = requests.get(url)
data.encoding = data.apparent_encoding
html = data.text
soup = BeautifulSoup(html, "lxml")
# 超出了页数范围捕获异常
try:
div = soup.find('div', {"class": "listw"})
ul = div.find("ul")
lis = ul.find_all("li")
for li in lis:
a = li.find("a")
cy_url = a.get("href")
cy_urls.append(cy_url)
cy = li.text
cys.append(cy)
except Exception as e:
print(e)
break
data = {
"成语链接": cy_urls,
"成语": cys,
}
data = pd.DataFrame(data)
data.to_csv("data/cym1.csv")
def get_all_chengyu2():
p1 = "ABCDEFGHJKLMNOPQRSTWXYZ".lower()
p2 = 100
cy_urls = []
cys = []
for pp1 in p1:
for pp2 in range(1, p2):
url = os.path.join(base_url2, "szm_{}_p{}.html".format(pp1, pp2))
print(url)
data = requests.post(url, headers=headers)
data.encoding = data.apparent_encoding
html = data.text
soup = BeautifulSoup(html, "lxml")
# 超出了页数范围捕获异常
try:
ul = soup.find('ul', {"class": "btn w4"})
lis = ul.find_all("li")
for li in lis:
a = li.find("a")
cy_url = a.get("href")
cy_urls.append(cy_url)
cy = re.search("</span>(.*?)</a>", str(a))
cys.append(cy.groups()[0])
except Exception as e:
print(e)
break
data = {
"成语链接": cy_urls,
"成语": cys,
}
data = pd.DataFrame(data)
data.to_csv("data/cym2.csv")
def get_all_chengyu3():
"""
p1 = ["a", "ba", "ca", "da", "e", "fa", "ga",
"ha",
"ji",
"kai",
"la",
"ma",
"na",
"o",
"pa",
"qi",
"ran",
"sa",
"ta",
"wa",
"xi",
"ya",
"za"]
p2 = []
for pp1 in p1:
url = os.path.join(base_url3, "pinyin/{}.html".format(pp1))
data = requests.post(url, headers=headers)
data.encoding = data.apparent_encoding
html = data.text
# 找到所有的的拼音
soup = BeautifulSoup(html, "lxml")
a_all = soup.find_all("a", {"class": "pinyin_sub_idx"})
for a in a_all:
p2.append(a.text)
"""
p2 = ['a', 'ai', 'an', 'ang', 'ao', 'ba', 'bai', 'ban', 'bang', 'bao', 'bei', 'ben', 'beng', 'bi', 'bian', 'biao',
'bie', 'bin', 'bing', 'bo', 'bu', 'ca', 'cai', 'can', 'cang', 'cao', 'ce', 'cen', 'ceng', 'cha', 'chai',
'chan', 'chang', 'chao', 'che', 'chen', 'cheng', 'chi', 'chong', 'chou', 'chu', 'chuai', 'chuan', 'chuang',
'chui', 'chun', 'chuo', 'ci', 'cong', 'cu', 'cuan', 'cui', 'cun', 'cuo', 'da', 'dai', 'dan', 'dang', 'dao',
'de', 'deng', 'di', 'dian', 'diao', 'die', 'ding', 'diu', 'dong', 'dou', 'du', 'duan', 'dui', 'dun', 'duo',
'e', 'en', 'er', 'fa', 'fan', 'fang', 'fei', 'fen', 'feng', 'fo', 'fou', 'fu', 'ga', 'gai', 'gan', 'gang',
'gao', 'ge', 'gen', 'geng', 'gong', 'gou', 'gu', 'gua', 'guai', 'guan', 'guang', 'gui', 'gun', 'guo', 'ha',
'hai', 'han', 'hang', 'hao', 'he', 'hei', 'hen', 'heng', 'hong', 'hou', 'hu', 'hua', 'huai', 'huan', 'huang',
'hui', 'hun', 'huo', 'ji', 'jia', 'jian', 'jiang', 'jiao', 'jie', 'jin', 'jing', 'jiong', 'jiu', 'ju', 'juan',
'jue', 'jun', 'kai', 'kan', 'kang', 'kao', 'ke', 'ken', 'keng', 'kong', 'kou', 'ku', 'kua', 'kuai', 'kuan',
'kuang', 'kui', 'kun', 'kuo', 'la', 'lai', 'lan', 'lang', 'lao', 'le', 'lei', 'leng', 'li', 'lian', 'liang',
'liao', 'lie', 'lin', 'ling', 'liu', 'long', 'lou', 'lu', 'luan', 'lue', 'lun', 'luo', 'lv', 'lve', 'ma',
'mai', 'man', 'mang', 'mao', 'mei', 'men', 'meng', 'mi', 'mian', 'miao', 'mie', 'min', 'ming', 'miu', 'mo',
'mou', 'mu', 'na', 'nai', 'nan', 'nang', 'nao', 'ne', 'nei', 'nen', 'neng', 'ni', 'nian', 'niao', 'nie',
'ning', 'niu', 'nong', 'nu', 'nuan', 'nuo', 'nv', 'nve', 'o', 'ou', 'pa', 'pai', 'pan', 'pang', 'pao', 'pei',
'pen', 'peng', 'pi', 'pian', 'piao', 'pie', 'pin', 'ping', 'po', 'pou', 'pu', 'qi', 'qia', 'qian', 'qiang',
'qiao', 'qie', 'qin', 'qing', 'qiong', 'qiu', 'qu', 'quan', 'que', 'qun', 'ran', 'rang', 'rao', 're', 'ren',
'reng', 'ri', 'rong', 'rou', 'ru', 'ruan', 'rui', 'run', 'ruo', 'sa', 'sai', 'san', 'sang', 'sao', 'se',
'sen', 'seng', 'sha', 'shai', 'shan', 'shang', 'shao', 'she', 'shen', 'sheng', 'shi', 'shou', 'shu', 'shua',
'shuai', 'shuan', 'shuang', 'shui', 'shun', 'shuo', 'si', 'song', 'sou', 'su', 'suan', 'sui', 'sun', 'suo',
'ta', 'tai', 'tan', 'tang', 'tao', 'te', 'teng', 'ti', 'tian', 'tiao', 'tie', 'ting', 'tong', 'tou', 'tu',
'tuan', 'tui', 'tun', 'tuo', 'wa', 'wai', 'wan', 'wang', 'wei', 'wen', 'weng', 'wo', 'wu', 'xi', 'xia',
'xian', 'xiang', 'xiao', 'xie', 'xin', 'xing', 'xiong', 'xiu', 'xu', 'xuan', 'xue', 'xun', 'ya', 'yan',
'yang', 'yao', 'ye', 'yi', 'yin', 'ying', 'yong', 'you', 'yu', 'yuan', 'yue', 'yun', 'za', 'zai', 'zan',
'zang', 'zao', 'ze', 'zei', 'zen', 'zeng', 'zha', 'zhai', 'zhan', 'zhang', 'zhao', 'zhe', 'zhen', 'zheng',
'zhi', 'zhong', 'zhou', 'zhu', 'zhua', 'zhuai', 'zhuan', 'zhuang', 'zhui', 'zhun', 'zhuo', 'zi', 'zong',
'zou', 'zu', 'zuan', 'zui', 'zun', 'zuo']
cy_urls = []
cys = []
for pp1 in p2:
url = os.path.join(base_url3, "pinyin/{}.html".format(pp1))
print(url)
data = requests.post(url, headers=headers)
data.encoding = data.apparent_encoding
html = data.text
soup = BeautifulSoup(html, "lxml")
# 超出了页数范围捕获异常
try:
ul = soup.find('ul', {"class": "pinyin_ul"})
lis = ul.find_all("li")
for li in lis:
a = li.find("a")
cy_url = a.get("href")
cy_urls.append(cy_url)
cy = a.text
cys.append(cy)
except Exception as e:
print(e)
break
data = {
"成语链接": cy_urls,
"成语": cys,
}
data = pd.DataFrame(data)
data.to_csv("data/cym3.csv")
def parse_url3_detail():
data = pd.read_csv("data/cym3.csv", encoding="utf-8")
cys = [] # 成语
pys = [] # 拼音
cyjs = [] # 成语解释
dgcc = [] # 典故出处
jyc = [] # 近义词
fyc = [] # 反义词
cycd = [] # 常用程度
gqsc = [] # 感情色彩
yfyf = [] # 语法用法
cyjg = [] # 成语结构
csnd = [] # 产生年代
ywfy = [] # 英文翻译
cymm = [] # 成语谜面
cur = 1
total = len(data)
for j,d in enumerate(data.itertuples()):
print(cur, total)
cur = cur + 1
url = d[2]
cy = d[3]
url = os.path.join(base_url3, url)
data = requests.post(url, headers=headers)
data.encoding = data.apparent_encoding
html = data.text
soup = BeautifulSoup(html, "lxml")
pinyin = soup.find("span", {"class":"pinyin f20"}).text
pys.append(pinyin)
div = soup.find("div", {"class":"view_con clearfix"})
dl = div.find("dl")
dts = dl.find_all("dt")
dds = dl.find_all("dd")
cys.append(cy)
for dt,dd in zip(dts, dds):
cate = dt.text.replace('[', '')
cate = cate.replace(']', '')
cate = cate.strip()
content = dd.text
content = content.strip()
# print(cate, content)
if cate == "成语解释":
cyjs.append(content)
elif cate == "典故出处":
dgcc.append(content)
elif cate == "近义词":
jyc.append(content)
elif cate == "反义词":
fyc.append(content)
elif cate == "常用程度":
cycd.append(content)
elif cate == "感情色彩":
gqsc.append(content)
elif cate == "语法用法":
yfyf.append(content)
elif cate == "成语结构":
cyjg.append(content)
elif cate == "产生年代":
csnd.append(content)
elif cate == "英文翻译":
ywfy.append(content)
elif cate == "成语谜面":
cymm.append(content)
if len(cyjs) != len(cys):
cyjs.append("")
if len(dgcc) != len(cys):
dgcc.append("")
if len(jyc) != len(cys):
jyc.append("")
if len(fyc) != len(cys):
fyc.append("")
if len(cycd) != len(cys):
cycd.append("")
if len(gqsc) != len(cys):
gqsc.append("")
if len(yfyf) != len(cys):
yfyf.append("")
if len(cyjg) != len(cys):
cyjg.append("")
if len(csnd) != len(cys):
csnd.append("")
if len(ywfy) != len(cys):
ywfy.append("")
if len(cymm) != len(cys):
cymm.append("")
data = {
"成语": cys,
"拼音": pys,
"成语解释": cyjs,
"典故出处": dgcc,
"近义词": jyc,
"反义词": fyc,
"常用程度": cycd,
"感情色彩": gqsc,
"语法用法": yfyf,
"成语结构": cyjg,
"产生年代": csnd,
"英文翻译": ywfy,
"成语谜面": cymm
}
data = pd.DataFrame(data)
data.to_csv("data/cycd.csv")
def is_chinese(string):
flag = True
for s in string:
if s < u'\u4e00' or s > u'\u9fa5':
flag = False
break
return flag
def merge():
"""
以下是融合url1、url2和成语大全（31648个成语解释）.txt成语的结果
:return:
"""
data1 = pd.read_csv("data/cym1.csv")
data2 = pd.read_csv("data/cym2.csv")
data1 = data1["成语"].values.tolist()
data2 = data2["成语"].values.tolist()
# jiaoji = [i for i in data1 if i in data2]
# only_in_data1 = [i for i in data1 if i not in data2]
# only_in_data2 = [i for i in data2 if i not in data1]
# print(only_in_data1)
# print("=" * 100)
# print(only_in_data2)
data3 = cydq()
data = list(set(data1 + data2 + data3))
res = []
for d in data:
if is_chinese(d):
res.append(d)
with open('data/成语.txt', 'w', encoding='utf-8') as fp:
fp.write("\n".join(res))
def cydq():
res = []
with codecs.open('data/成语大全（31648个成语解释）.txt', 'r', encoding="utf-8") as fp:
data = fp.readlines()[:-1]
for d in data:
d = d.strip()
if d:
d = d.replace(" ", "")
span = re.search("(.*?)拼音：", d)
if span:
res.append(span.groups()[0])
return res
if __name__ == '__main__':
# get_all_chengyu1()
# get_all_chengyu2()
# cydq()
# merge()
# get_all_chengyu3()
parse_url3_detail()