8.22
This commit is contained in:
parent
b6f95d5498
commit
09989897c2
13
README.md
13
README.md
@ -1,2 +1,11 @@
|
||||
scrape.py脚本负责抓取网址
|
||||
main_extraction.py负责抓取网页内容
|
||||
如何运行？
|
||||
cd到项目根目录
|
||||
pip install -r requirements.txt
|
||||
安装所需依赖。
|
||||
|
||||
然后先运行scrape.py，再运行main_extraction是一个完整的流程。
|
||||
|
||||
scrape.py脚本负责抓取（处罚信息公开表）网址，保存至txt文件中
|
||||
main_extraction.py负责读取txt文件中的url抓取网页内容,处理失败的url将保存至error_urls.txt中，成功的会添加到output_data*.xlsx中
|
||||
|
||||
标题网址提取.py 负责抓取决定书以及处罚信息公开表，保存至excel文件中
|
||||
@ -1,72 +0,0 @@
|
||||
from selenium import webdriver
|
||||
from bs4 import BeautifulSoup
|
||||
import pandas as pd
|
||||
import time
|
||||
|
||||
def clean_text(html_content):
|
||||
# 使用BeautifulSoup来解析内容，逐个元素提取文本，避免添加不必要的空格
|
||||
soup = BeautifulSoup(html_content, 'html.parser')
|
||||
text = "" # 初始化一个空字符串用于拼接文本
|
||||
for element in soup.stripped_strings: # 遍历所有文本节点，去除首尾空白
|
||||
if element == "一、" or element == "二、": # 如果是列表标记，加入换行符
|
||||
text += "\n" + element
|
||||
else:
|
||||
text += element # 直接拼接文本，不添加额外空格
|
||||
return text.strip() # 返回处理后的文本
|
||||
|
||||
def fetch_data(urls):
|
||||
# 设置Chrome选项以在后台运行
|
||||
options = webdriver.ChromeOptions()
|
||||
options.add_argument('headless')
|
||||
|
||||
# 初始化WebDriver
|
||||
driver = webdriver.Chrome(options=options)
|
||||
|
||||
# 初始化一个空的DataFrame，以存储最终数据
|
||||
all_data = pd.DataFrame()
|
||||
|
||||
for url in urls:
|
||||
# 访问页面
|
||||
driver.get(url)
|
||||
time.sleep(3) # 等待JavaScript执行
|
||||
|
||||
# 获取页面源码
|
||||
html = driver.page_source
|
||||
|
||||
# 使用BeautifulSoup解析HTML
|
||||
soup = BeautifulSoup(html, 'html.parser')
|
||||
table = soup.find('table', class_='MsoNormalTable')
|
||||
|
||||
# 如果页面上有表格
|
||||
if table:
|
||||
rows = table.find_all('tr')
|
||||
temp_dict = {}
|
||||
for row in rows:
|
||||
columns = row.find_all('td')
|
||||
if len(columns) >= 2: # 确保每行至少有两个列（Header和Content）
|
||||
header = columns[0].get_text(strip=True)
|
||||
content_html = str(columns[1]) # 获取原始HTML内容
|
||||
content = clean_text(content_html) # 清洗并去除不必要的空格
|
||||
temp_dict[header] = content
|
||||
|
||||
# 将字典转换为DataFrame，并添加到总的DataFrame中
|
||||
df = pd.DataFrame([temp_dict])
|
||||
all_data = pd.concat([all_data, df], ignore_index=True)
|
||||
|
||||
# 关闭浏览器
|
||||
driver.quit()
|
||||
|
||||
return all_data
|
||||
|
||||
|
||||
# 定义要处理的URL列表
|
||||
urls = [
|
||||
"https://www.cbirc.gov.cn/cn/view/pages/ItemDetail.html?docId=1171824&itemId=4115&generaltype=9",
|
||||
# 可以添加更多的URL
|
||||
]
|
||||
|
||||
# 调用函数并获取数据
|
||||
result_data = fetch_data(urls)
|
||||
|
||||
# 保存到Excel文件
|
||||
result_data.to_excel('output_data.xlsx', index=False)
|
||||
@ -1,47 +0,0 @@
|
||||
import pandas as pd
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
# 从文件中读取HTML内容
|
||||
with open('D:/folder/study/reptile-project/data.html', 'r', encoding='utf-8') as file:
|
||||
html_content = file.read()
|
||||
|
||||
# 使用BeautifulSoup解析HTML
|
||||
soup = BeautifulSoup(html_content, 'html.parser')
|
||||
|
||||
# 初始化结果字典
|
||||
results = {
|
||||
"行政处罚决定书文号": "",
|
||||
"被处罚当事人": "",
|
||||
"主要违法违规事实": "",
|
||||
"行政处罚依据": "",
|
||||
"行政处罚决定": "",
|
||||
"作出处罚决定的机关名称": "",
|
||||
"作出处罚决定的日期": ""
|
||||
}
|
||||
|
||||
# 获取所有的tr元素
|
||||
table_rows = soup.find_all('tr')
|
||||
|
||||
# 提取信息
|
||||
if len(table_rows) >= 9:
|
||||
results["行政处罚决定书文号"] = table_rows[0].find_all('td')[1].find('p').get_text(strip=True)
|
||||
# 个人姓名、单位名称、单位法定代表人姓名
|
||||
person_name = table_rows[1].find_all('td')[2].find('p').get_text(strip=True)
|
||||
org_name = table_rows[2].find_all('td')[2].find('p').get_text(strip=True)
|
||||
legal_rep_name = table_rows[3].find_all('td')[1].find('p').get_text(strip=True)
|
||||
# 格式化被处罚当事人信息
|
||||
results["被处罚当事人"] = f'"个人姓名": "{person_name}"\n"单位名称": "{org_name}"\n"单位法定代表人（主要负责人）姓名": "{legal_rep_name}"'
|
||||
|
||||
results["主要违法违规事实"] = table_rows[4].find_all('td')[1].find('p').get_text(strip=True)
|
||||
results["行政处罚依据"] = table_rows[5].find_all('td')[1].find('p').get_text(strip=True)
|
||||
results["行政处罚决定"] = table_rows[6].find_all('td')[1].find('p').get_text(strip=True)
|
||||
results["作出处罚决定的机关名称"] = table_rows[7].find_all('td')[1].find('p').get_text(strip=True)
|
||||
results["作出处罚决定的日期"] = table_rows[8].find_all('td')[1].find('p').get_text(strip=True)
|
||||
|
||||
# 创建DataFrame
|
||||
df = pd.DataFrame([results])
|
||||
|
||||
# 保存DataFrame到Excel文件
|
||||
df.to_excel('output_data.xlsx', index=False, engine='openpyxl')
|
||||
|
||||
|
||||
@ -102,7 +102,6 @@ def process_table(table_rows,current_url, error_urls):
|
||||
if len(cells) == 3:
|
||||
# 检查并拼接具有三个td的行的第二和第三个td内容
|
||||
name = clean_text(str(cells[1])) + ":" + clean_text(str(cells[2]))
|
||||
print(name)
|
||||
flag=1
|
||||
if(flag):
|
||||
results["被处罚当事人"] = name
|
||||
@ -126,46 +125,46 @@ def process_table(table_rows,current_url, error_urls):
|
||||
return None
|
||||
return results
|
||||
|
||||
def create_browser():
|
||||
options = webdriver.ChromeOptions()
|
||||
# def create_browser(): #适用docker环境中
|
||||
# options = webdriver.ChromeOptions()
|
||||
# options.add_argument('--headless') # 使用无头模式
|
||||
# options.add_argument('--disable-blink-features=AutomationControlled')
|
||||
# options.add_argument(
|
||||
# 'user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36')
|
||||
# options.add_experimental_option('excludeSwitches', ['enable-automation'])
|
||||
# options.add_experimental_option('useAutomationExtension', False)
|
||||
# driver = webdriver.Remote(
|
||||
# command_executor='http://chrome:4444/wd/hub',
|
||||
# options=options
|
||||
# )
|
||||
# return driver
|
||||
|
||||
def fetch_data(urls):
|
||||
options = webdriver.ChromeOptions() #适用本地环境
|
||||
options.add_argument('--headless') # 使用无头模式
|
||||
options.add_argument('--disable-blink-features=AutomationControlled')
|
||||
options.add_argument(
|
||||
'user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36')
|
||||
options.add_experimental_option('excludeSwitches', ['enable-automation'])
|
||||
options.add_experimental_option('useAutomationExtension', False)
|
||||
driver = webdriver.Remote(
|
||||
command_executor='http://chrome:4444/wd/hub',
|
||||
options=options
|
||||
)
|
||||
return driver
|
||||
|
||||
def fetch_data(urls):
|
||||
# options = webdriver.ChromeOptions()
|
||||
# options.add_argument('--headless') # 使用无头模式
|
||||
# options.add_argument('--disable-blink-features=AutomationControlled')
|
||||
# options.add_argument(
|
||||
# 'user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36')
|
||||
# options.add_experimental_option('excludeSwitches', ['enable-automation'])
|
||||
# options.add_experimental_option('useAutomationExtension', False)
|
||||
# driver = webdriver.Chrome(options=options)
|
||||
# driver.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
|
||||
# 'source': '''
|
||||
# Object.defineProperty(navigator, 'webdriver', {
|
||||
# get: () => undefined
|
||||
# });
|
||||
# window.navigator.chrome = {
|
||||
# runtime: {}
|
||||
# };
|
||||
# Object.defineProperty(navigator, 'languages', {
|
||||
# get: () => ['en-US', 'en']
|
||||
# });
|
||||
# Object.defineProperty(navigator, 'plugins', {
|
||||
# get: () => [1, 2, 3, 4, 5]
|
||||
# });
|
||||
# '''
|
||||
# })
|
||||
driver = create_browser()
|
||||
driver = webdriver.Chrome(options=options)
|
||||
driver.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
|
||||
'source': '''
|
||||
Object.defineProperty(navigator, 'webdriver', {
|
||||
get: () => undefined
|
||||
});
|
||||
window.navigator.chrome = {
|
||||
runtime: {}
|
||||
};
|
||||
Object.defineProperty(navigator, 'languages', {
|
||||
get: () => ['en-US', 'en']
|
||||
});
|
||||
Object.defineProperty(navigator, 'plugins', {
|
||||
get: () => [1, 2, 3, 4, 5]
|
||||
});
|
||||
'''
|
||||
})
|
||||
# driver = create_browser()
|
||||
|
||||
all_data = pd.DataFrame()
|
||||
error_urls = []
|
||||
@ -270,5 +269,5 @@ def process_in_batches(url_files_pattern, output_file_prefix, batch_size=100, ma
|
||||
url_files_pattern = 'url*.txt' # 匹配所有以 'url' 开头的 txt 文件
|
||||
output_file_prefix = 'output_data'
|
||||
|
||||
process_in_batches(url_files_pattern, output_file_prefix, batch_size=100)
|
||||
process_in_batches(url_files_pattern, output_file_prefix, batch_size=100) #默认每处理100个url更新一次excel，每个excel存储数据大于1万条时新增一个文件保存。
|
||||
print("Data has been appended to the existing Excel files.")
|
||||
|
||||
19
scrape.py
19
scrape.py
@ -1,5 +1,3 @@
|
||||
import os
|
||||
|
||||
from selenium import webdriver
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.common.action_chains import ActionChains
|
||||
@ -17,7 +15,7 @@ def random_wait(min_time=1, max_time=5):
|
||||
|
||||
|
||||
# Function to create a new browser session with options to avoid detection
|
||||
def create_browser():
|
||||
def create_browser(): #适合本地环境
|
||||
options = webdriver.ChromeOptions()
|
||||
options.add_argument("--disable-blink-features=AutomationControlled")
|
||||
options.add_argument("--headless") # Enable headless mode
|
||||
@ -44,7 +42,7 @@ def create_browser():
|
||||
})
|
||||
return driver
|
||||
|
||||
# def create_browser():
|
||||
# def create_browser(): #适合在docker环境中
|
||||
# options = webdriver.ChromeOptions()
|
||||
# options.add_argument("--disable-blink-features=AutomationControlled")
|
||||
# options.add_argument("--headless") # Enable headless mode
|
||||
@ -164,13 +162,10 @@ def fetch_unique_urls(base_page_url, base_url, date_limit, output_path_prefix):
|
||||
|
||||
|
||||
# Example usage
|
||||
base_page_url = "https://www.cbirc.gov.cn/cn/view/pages/ItemList.html?itemPId=923&itemId=4113&itemUrl=ItemListRightList.html&itemName=%E6%80%BB%E5%B1%80%E6%9C%BA%E5%85%B3&itemsubPId=931&itemsubPName=%E8%A1%8C%E6%94%BF%E5%A4%84%E7%BD%9A"
|
||||
#base_page_url是你要提取的网址的首页，脚本会自动进行翻页。
|
||||
#每个txt保存20000条url，txt命名为url1 url2 url3 ...
|
||||
base_page_url = "https://www.cbirc.gov.cn/cn/view/pages/ItemList.html?itemPId=923&itemId=4115&itemUrl=ItemListRightList.html&itemName=%E7%9B%91%E7%AE%A1%E5%88%86%E5%B1%80%E6%9C%AC%E7%BA%A7&itemsubPId=931&itemsubPName=%E8%A1%8C%E6%94%BF%E5%A4%84%E7%BD%9A"
|
||||
base_url = 'https://www.cbirc.gov.cn/cn/view/pages/'
|
||||
date_limit = datetime(2006, 4, 26)
|
||||
date_limit = datetime(2024, 8, 20)
|
||||
output_path_prefix = 'url'
|
||||
# 从环境变量读取参数
|
||||
# base_page_url = os.getenv('BASE_PAGE_URL')
|
||||
# base_url = os.getenv('BASE_URL')
|
||||
# date_limit = datetime.strptime(os.getenv('DATE_LIMIT'), "%Y-%m-%d")
|
||||
# output_path_prefix = os.getenv('OUTPUT_PATH_PREFIX')
|
||||
fetch_unique_urls(base_page_url, base_url, date_limit, output_path_prefix)
|
||||
fetch_unique_urls(base_page_url, base_url, date_limit, output_path_prefix)
|
||||
121
标题网址提取.py
Normal file
121
标题网址提取.py
Normal file
@ -0,0 +1,121 @@
|
||||
import os
|
||||
import pandas as pd
|
||||
from selenium import webdriver
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
from selenium.webdriver.common.action_chains import ActionChains
|
||||
from bs4 import BeautifulSoup
|
||||
import time
|
||||
from datetime import datetime
|
||||
import random
|
||||
|
||||
|
||||
def create_empty_excel(filename):
|
||||
"""创建一个包含指定列的空Excel文件。"""
|
||||
columns = ["标题", "网址", "日期"]
|
||||
df = pd.DataFrame(columns=columns)
|
||||
df.to_excel(filename, index=False)
|
||||
|
||||
|
||||
def save_data_to_excel(data, filename):
|
||||
"""将收集的数据追加到Excel文件中。如果文件不存在，先创建文件。"""
|
||||
new_data_df = pd.DataFrame(data, columns=['标题', '网址', '日期'])
|
||||
if not os.path.exists(filename):
|
||||
create_empty_excel(filename)
|
||||
|
||||
# 读取现有的Excel文件到DataFrame
|
||||
existing_df = pd.read_excel(filename)
|
||||
|
||||
# 使用concat而不是append来合并数据框
|
||||
updated_df = pd.concat([existing_df, new_data_df], ignore_index=True)
|
||||
|
||||
# 将更新后的DataFrame写回到Excel文件，覆盖原有文件
|
||||
updated_df.to_excel(filename, index=False)
|
||||
|
||||
def random_wait(min_time=1, max_time=3):
|
||||
time.sleep(random.uniform(min_time, max_time))
|
||||
|
||||
def create_browser():
|
||||
options = webdriver.ChromeOptions()
|
||||
options.add_argument("--disable-blink-features=AutomationControlled")
|
||||
options.add_argument("--headless")
|
||||
options.add_experimental_option('excludeSwitches', ['enable-automation'])
|
||||
driver = webdriver.Chrome(options=options)
|
||||
driver.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
|
||||
'source': '''
|
||||
Object.defineProperty(navigator, 'webdriver', {
|
||||
get: () => undefined
|
||||
});
|
||||
window.navigator.chrome = {
|
||||
runtime: {}
|
||||
};
|
||||
Object.defineProperty(navigator, 'languages', {
|
||||
get: () => ['en-US', 'en']
|
||||
});
|
||||
Object.defineProperty(navigator, 'plugins', {
|
||||
get: () => [1, 2, 3, 4, 5]
|
||||
});
|
||||
'''
|
||||
})
|
||||
return driver
|
||||
|
||||
def fetch_and_save_data(base_page_url, base_url, date_limit, output_filename='extracted_data.xlsx', batch_size=100):
|
||||
driver = create_browser()
|
||||
collected_data = []
|
||||
driver.get(base_page_url)
|
||||
should_continue = True
|
||||
cur_page = 0
|
||||
batch_number = 1
|
||||
|
||||
while should_continue:
|
||||
cur_page += 1
|
||||
print(f"Visiting new page: {cur_page}")
|
||||
random_wait()
|
||||
|
||||
soup = BeautifulSoup(driver.page_source, 'html.parser')
|
||||
div_elements = soup.find_all('div', class_="panel-row ng-scope")
|
||||
|
||||
for div in div_elements:
|
||||
date_span = div.find('span', class_='date ng-binding')
|
||||
if date_span:
|
||||
date_text = date_span.text.strip()
|
||||
date = datetime.strptime(date_text, "%Y-%m-%d")
|
||||
if date >= date_limit:
|
||||
link = div.find('a', href=True)
|
||||
if link and ("处罚决定" in link.text or "监罚" in link.text):
|
||||
title = link.get('title', '')
|
||||
href = link['href']
|
||||
full_url = base_url + href
|
||||
collected_data.append([title, full_url, date_text])
|
||||
if len(collected_data) >= batch_size:
|
||||
save_data_to_excel(collected_data, output_filename)
|
||||
collected_data = [] # Reset the collected data list after saving
|
||||
print(f"Batch {batch_number} saved. Continuing to next batch.")
|
||||
batch_number += 1
|
||||
else:
|
||||
should_continue = False
|
||||
break
|
||||
|
||||
if should_continue:
|
||||
try:
|
||||
next_button = WebDriverWait(driver, 10).until(
|
||||
EC.element_to_be_clickable((By.XPATH, "//a[@ng-click='pager.next()']"))
|
||||
)
|
||||
ActionChains(driver).click(next_button).perform()
|
||||
except Exception as e:
|
||||
print(f"Failed to navigate to next page: {e}")
|
||||
break
|
||||
|
||||
if collected_data: # Save any remaining data after finishing all pages
|
||||
save_data_to_excel(collected_data, output_filename)
|
||||
print(f"Final batch saved.")
|
||||
|
||||
driver.quit()
|
||||
print("Data has been saved or appended to extracted_data.xlsx")
|
||||
|
||||
# Example usage
|
||||
base_page_url = "https://www.cbirc.gov.cn/cn/view/pages/ItemList.html?itemPId=923&itemId=4115&itemUrl=ItemListRightList.html&itemName=%E7%9B%91%E7%AE%A1%E5%88%86%E5%B1%80%E6%9C%AC%E7%BA%A7&itemsubPId=931&itemsubPName=%E8%A1%8C%E6%94%BF%E5%A4%84%E7%BD%9A"
|
||||
base_url = 'https://www.cbirc.gov.cn/cn/view/pages/'
|
||||
date_limit = datetime(2024, 8, 20)
|
||||
fetch_and_save_data(base_page_url, base_url, date_limit) #默认输出到本目录下的output_filename='extracted_data.xlsx', batch_size=100
|
||||
Loading…
x
Reference in New Issue
Block a user