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job_spider.py
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job_spider.py
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from pprint import pprint
import csv
from collections import Counter
import requests
from bs4 import BeautifulSoup
import jieba
import matplotlib.pyplot as plt
from wordcloud import WordCloud
class JobSpider():
def __init__(self):
self.company = []
self.text = ""
self.headers = {'X-Requested-With': 'XMLHttpRequest',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/56.0.2924.87 Safari/537.36'}
def job_spider(self):
""" 爬虫入口 """
url = "http://search.51job.com/list/010000%252C020000%252C030200%252C040000,000000,0000,00,9,99,Python,2,{}.html?" \
"lang=c&stype=1&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&lonlat=0%2C0" \
"&radius=-1&ord_field=0&confirmdate=9&fromType=1&dibiaoid=0&address=&line=&specialarea=00&from=&welfare="
urls = [url.format(p) for p in range(1, 14)]
for url in urls:
r = requests.get(url, headers=self.headers).content.decode('gbk')
bs = BeautifulSoup(r, 'lxml').find("div", class_="dw_table").find_all("div", class_="el")
for b in bs:
try:
href, post = b.find('a')['href'], b.find('a')['title']
locate = b.find('span', class_='t3').text
salary = b.find('span', class_='t4').text
d = {'href':href, 'post':post, 'locate':locate, 'salary':salary}
self.company.append(d)
except Exception:
pass
def post_require(self):
""" 爬取职位描述 """
for c in self.company:
r = requests.get(c.get('href'), headers=self.headers).content.decode('gbk')
bs = BeautifulSoup(r, 'lxml').find('div', class_="bmsg job_msg inbox").text
s = bs.replace("举报", "").replace("分享", "").replace("\t", "").strip()
self.text += s
# print(self.text)
with open(r".\data\post_require.txt", "w+", encoding="utf-8") as f:
f.write(self.text)
def post_desc_counter(self):
""" 职位描述统计 """
# import thulac
post = open(r".\data\post_require.txt", "r", encoding="utf-8").read()
# 使用 thulac 分词
# thu = thulac.thulac(seg_only=True)
# thu.cut(post, text=True)
# 使用 jieba 分词
jieba.load_userdict(r".\data\user_dict.txt")
seg_list = jieba.cut(post, cut_all=False)
counter = dict()
for seg in seg_list:
counter[seg] = counter.get(seg, 1) + 1
counter_sort = sorted(counter.items(), key=lambda value: value[1], reverse=True)
pprint(counter_sort)
with open(r".\data\post_pre_desc_counter.csv", "w+", encoding="utf-8") as f:
f_csv = csv.writer(f)
f_csv.writerows(counter_sort)
def post_counter(self):
""" 职位统计 """
lst = [c.get('post') for c in self.company]
counter = Counter(lst)
counter_most = counter.most_common()
pprint(counter_most)
with open(r".\data\post_pre_counter.csv", "w+", encoding="utf-8") as f:
f_csv = csv.writer(f)
f_csv.writerows(counter_most)
def post_salary_locate(self):
""" 招聘大概信息，职位，薪酬以及工作地点 """
lst = []
for c in self.company:
lst.append((c.get('salary'), c.get('post'), c.get('locate')))
pprint(lst)
with open(r".\data\post_salary_locate.csv", "w+", encoding="utf-8") as f:
f_csv = csv.writer(f)
f_csv.writerows(lst)
def post_salary(self):
""" 薪酬统一处理 """
mouth = []
year = []
thouand = []
with open(r".\data\post_salary_locate.csv", "r", encoding="utf-8") as f:
f_csv = csv.reader(f)
for row in f_csv:
if "万/月" in row[0]:
mouth.append((row[0][:-3], row[2], row[1]))
elif "万/年" in row[0]:
year.append((row[0][:-3], row[2], row[1]))
elif "千/月" in row[0]:
thouand.append((row[0][:-3], row[2], row[1]))
# pprint(mouth)
calc = []
for m in mouth:
s = m[0].split("-")
calc.append((round((float(s[1]) - float(s[0])) * 0.4 + float(s[0]), 1), m[1], m[2]))
for y in year:
s = y[0].split("-")
calc.append((round(((float(s[1]) - float(s[0])) * 0.4 + float(s[0])) / 12, 1), y[1], y[2]))
for t in thouand:
s = t[0].split("-")
calc.append((round(((float(s[1]) - float(s[0])) * 0.4 + float(s[0])) / 10, 1), t[1], t[2]))
pprint(calc)
with open(r".\data\post_salary.csv", "w+", encoding="utf-8") as f:
f_csv = csv.writer(f)
f_csv.writerows(calc)
def post_salary_counter(self):
""" 薪酬统计 """
with open(r".\data\post_salary.csv", "r", encoding="utf-8") as f:
f_csv = csv.reader(f)
lst = [row[0] for row in f_csv]
counter = Counter(lst).most_common()
pprint(counter)
with open(r".\data\post_salary_counter1.csv", "w+", encoding="utf-8") as f:
f_csv = csv.writer(f)
f_csv.writerows(counter)
def world_cloud(self):
""" 生成词云 """
counter = {}
with open(r".\data\post_desc_counter.csv", "r", encoding="utf-8") as f:
f_csv = csv.reader(f)
for row in f_csv:
counter[row[0]] = counter.get(row[0], int(row[1]))
pprint(counter)
wordcloud = WordCloud(font_path=r".\font\msyh.ttf",
max_words=100, height=600, width=1200).generate_from_frequencies(counter)
plt.imshow(wordcloud)
plt.axis('off')
plt.show()
wordcloud.to_file('.\images\worldcloud.jpg')
def insert_into_db(self):
""" 插入数据到数据库
create table jobpost(
j_salary float(3, 1),
j_locate text,
j_post text
);
"""
import pymysql
conn = pymysql.connect(host="localhost", port=3306, user="root", passwd="0303", db="chenx", charset="utf8")
cur = conn.cursor()
with open(r".\data\post_salary.csv", "r", encoding="utf-8") as f:
f_csv = csv.reader(f)
sql = "insert into jobpost(j_salary, j_locate, j_post) values(%s, %s, %s)"
for row in f_csv:
value = (row[0], row[1], row[2])
try:
cur.execute(sql, value)
conn.commit()
except Exception as e:
print(e)
cur.close()
if __name__ == "__main__":
spider = JobSpider()
# spider.job_spider()
# spider.post_salary()
# spider.insert_into_db()
# spider.post_salary_counter()
# spider.post_counter()
# spider.world_cloud()