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Python如何實現(xiàn)爬取51cto數據并存入MySQL的方法?這個問題可能是我們日常學習或工作經常見到的。希望通過這個問題能讓你收獲頗深。下面是小編給大家?guī)淼膮⒖純热?,讓我們一起來看看吧?/p>
實驗環(huán)境
1.安裝Python 3.7
2.安裝requests, bs4,pymysql 模塊
實驗步驟1.安裝環(huán)境及模塊
可參考https://www.jb51.net/article/194104.htm
2.編寫代碼
# 51cto 博客頁面數據插入mysql數據庫 # 導入模塊 import re import bs4 import pymysql import requests # 連接數據庫賬號密碼 db = pymysql.connect(host='172.171.13.229', user='root', passwd='abc123', db='test', port=3306, charset='utf8') # 獲取游標 cursor = db.cursor() def open_url(url): # 連接模擬網頁訪問 headers = { 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) ' 'Chrome/57.0.2987.98 Safari/537.36'} res = requests.get(url, headers=headers) return res # 爬取網頁內容 def find_text(res): soup = bs4.BeautifulSoup(res.text, 'html.parser') # 博客名 titles = [] targets = soup.find_all("a", class_="tit") for each in targets: each = each.text.strip() if "置頂" in each: each = each.split(' ')[0] titles.append(each) # 閱讀量 reads = [] read1 = soup.find_all("p", class_="read fl on") read2 = soup.find_all("p", class_="read fl") for each in read1: reads.append(each.text) for each in read2: reads.append(each.text) # 評論數 comment = [] targets = soup.find_all("p", class_='comment fl') for each in targets: comment.append(each.text) # 收藏 collects = [] targets = soup.find_all("p", class_='collect fl') for each in targets: collects.append(each.text) # 發(fā)布時間 dates=[] targets = soup.find_all("a", class_='time fl') for each in targets: each = each.text.split(':')[1] dates.append(each) # 插入sql 語句 sql = """insert into blog (blog_title,read_number,comment_number, collect, dates) values( '%s', '%s', '%s', '%s', '%s');""" # 替換頁面 \xa0 for titles, reads, comment, collects, dates in zip(titles, reads, comment, collects, dates): reads = re.sub('\s', '', reads) comment = re.sub('\s', '', comment) collects = re.sub('\s', '', collects) cursor.execute(sql % (titles, reads, comment, collects,dates)) db.commit() pass # 統(tǒng)計總頁數 def find_depth(res): soup = bs4.BeautifulSoup(res.text, 'html.parser') depth = soup.find('li', class_='next').previous_sibling.previous_sibling.text return int(depth) # 主函數 def main(): host = "https://blog.51cto.com/13760351" res = open_url(host) # 打開首頁鏈接 depth = find_depth(res) # 獲取總頁數 # 爬取其他頁面信息 for i in range(1, depth + 1): url = host + '/p' + str(i) # 完整鏈接 res = open_url(url) # 打開其他鏈接 find_text(res) # 爬取數據 # 關閉游標 cursor.close() # 關閉數據庫連接 db.close() if __name__ == '__main__': main()
3..MySQL創(chuàng)建對應的表
CREATE TABLE `blog` ( `row_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主鍵', `blog_title` varchar(52) DEFAULT NULL COMMENT '博客標題', `read_number` varchar(26) DEFAULT NULL COMMENT '閱讀數量', `comment_number` varchar(16) DEFAULT NULL COMMENT '評論數量', `collect` varchar(16) DEFAULT NULL COMMENT '收藏數量', `dates` varchar(16) DEFAULT NULL COMMENT '發(fā)布日期', PRIMARY KEY (`row_id`) ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;
4.運行代碼,查看效果:
改進版:
改進內容:
1.數據庫里面的某些字段只保留數字即可
2.默認爬取的內容都是字符串,存放數據庫的某些字段,最好改為整型,方便后面數據庫操作
1.代碼如下:
import re import bs4 import pymysql import requests # 連接數據庫 db = pymysql.connect(host='172.171.13.229', user='root', passwd='abc123', db='test', port=3306, charset='utf8') # 獲取游標 cursor = db.cursor() def open_url(url): # 連接模擬網頁訪問 headers = { 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) ' 'Chrome/57.0.2987.98 Safari/537.36'} res = requests.get(url, headers=headers) return res # 爬取網頁內容 def find_text(res): soup = bs4.BeautifulSoup(res.text, 'html.parser') # 博客標題 titles = [] targets = soup.find_all("a", class_="tit") for each in targets: each = each.text.strip() if "置頂" in each: each = each.split(' ')[0] titles.append(each) # 閱讀量 reads = [] read1 = soup.find_all("p", class_="read fl on") read2 = soup.find_all("p", class_="read fl") for each in read1: reads.append(each.text) for each in read2: reads.append(each.text) # 評論數 comment = [] targets = soup.find_all("p", class_='comment fl') for each in targets: comment.append(each.text) # 收藏 collects = [] targets = soup.find_all("p", class_='collect fl') for each in targets: collects.append(each.text) # 發(fā)布時間 dates=[] targets = soup.find_all("a", class_='time fl') for each in targets: each = each.text.split(':')[1] dates.append(each) # 插入sql 語句 sql = """insert into blogs (blog_title,read_number,comment_number, collect, dates) values( '%s', '%s', '%s', '%s', '%s');""" # 替換頁面 \xa0 for titles, reads, comment, collects, dates in zip(titles, reads, comment, collects, dates): reads = re.sub('\s', '', reads) reads=int(re.sub('\D', "", reads)) #匹配數字,轉換為整型 comment = re.sub('\s', '', comment) comment = int(re.sub('\D', "", comment)) #匹配數字,轉換為整型 collects = re.sub('\s', '', collects) collects = int(re.sub('\D', "", collects)) #匹配數字,轉換為整型 dates = re.sub('\s', '', dates) cursor.execute(sql % (titles, reads, comment, collects,dates)) db.commit() pass # 統(tǒng)計總頁數 def find_depth(res): soup = bs4.BeautifulSoup(res.text, 'html.parser') depth = soup.find('li', class_='next').previous_sibling.previous_sibling.text return int(depth) # 主函數 def main(): host = "https://blog.51cto.com/13760351" res = open_url(host) # 打開首頁鏈接 depth = find_depth(res) # 獲取總頁數 # 爬取其他頁面信息 for i in range(1, depth + 1): url = host + '/p' + str(i) # 完整鏈接 res = open_url(url) # 打開其他鏈接 find_text(res) # 爬取數據 # 關閉游標 cursor.close() # 關閉數據庫連接 db.close() #主程序入口 if __name__ == '__main__': main()
2.創(chuàng)建對應表
CREATE TABLE `blogs` ( `row_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主鍵', `blog_title` varchar(52) DEFAULT NULL COMMENT '博客標題', `read_number` int(26) DEFAULT NULL COMMENT '閱讀數量', `comment_number` int(16) DEFAULT NULL COMMENT '評論數量', `collect` int(16) DEFAULT NULL COMMENT '收藏數量', `dates` varchar(16) DEFAULT NULL COMMENT '發(fā)布日期', PRIMARY KEY (`row_id`) ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;
3.運行代碼,驗證
升級版
為了能讓小白就可以使用這個程序,可以把這個項目打包成exe格式的文件,讓其他人,使用電腦就可以運行代碼,這樣非常方便!
1.改進代碼:
#末尾修改為: if __name__ == '__main__': main() print("\n\t\t所有數據已成功存放數據庫!!! \n") time.sleep(5)
2.安裝打包模塊pyinstaller(cmd安裝)
pip install pyinstaller -i https://pypi.tuna.tsinghua.edu.cn/simple/
3.Python代碼打包
1.切換到需要打包代碼的路徑下面
2.在cmd窗口運行 pyinstaller -F test03.py (test03為項目名稱)
4.查看exe包
在打包后會出現(xiàn)dist目錄,打好包就在這個目錄里面
5.運行exe包,查看效果
檢查數據庫
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