197 lines
7.8 KiB
Python
197 lines
7.8 KiB
Python
|
||
def writeExcel(titles, links,ws):
|
||
infos = list(zip(titles, links))
|
||
for row in infos:
|
||
ws.append(row)
|
||
|
||
def create_sheet_and_write(wb, engine, keywords, num, title):
|
||
ws = wb.create_sheet(title=title)
|
||
result = engine(keywords, num)
|
||
writeExcel(result[0], result[1], ws)
|
||
def excel_text2url(link_url): #如果函数内部没有进行异步操作，使用 async 并不会对性能或功能产生实际影响。
|
||
'''把一个网址字符串转换为 Excel公式，使其可以点击直接转跳'''
|
||
return f'=HYPERLINK("{link_url}","{link_url}")'
|
||
|
||
|
||
|
||
# 遍历所有工作表，并将第二列的所有数据传递给 excel_text2url 函数重新赋值
|
||
def update_hyperlinks(wb):
|
||
for sheet in wb.worksheets: # 遍历每一个工作表
|
||
for row in sheet.iter_rows(min_row=1, max_row=sheet.max_row, min_col=2, max_col=2): # 遍历第二列
|
||
for cell in row:
|
||
if cell.value: # 检查单元格是否有内容
|
||
cell.value = excel_text2url(cell.value) # 将网址转换为超链接公式
|
||
else:
|
||
break
|
||
|
||
def commend():
|
||
parser = argparse.ArgumentParser(prog="Searcher", description='此工具用于对百度、必应和谷歌搜索的协程爬取--天欣安全实验室', usage='please read -h')
|
||
parser.add_argument("-k", type=str, help="搜索的关键词", nargs='+')
|
||
# 添加一个positional arguments，叫a,读取类型为int（默认是字符串）
|
||
parser.add_argument("-p", type=str, help="需要搜索页数,默认为5,支持范围搜索，例如搜索从第2页到第五页的参数为 2:5", default='5')
|
||
parser.add_argument("-m", type=str, help="使用的搜索引擎:百度:bd,必应:bin,谷歌:goo 不填写默认使用全部", default='all',nargs='+')
|
||
# parser.add_argument("-t", '--task', type=int, help="设置的线程,默认为8", default=8)
|
||
parser.exit_on_error = False
|
||
args = parser.parse_args()
|
||
if len(sys.argv) == 1:
|
||
printascii()
|
||
parser.print_help()
|
||
sys.exit()
|
||
return args
|
||
|
||
# for i in range(len(result[0])):
|
||
# title= result[0][i]
|
||
# url = result[1][i]
|
||
# print(f"必应搜索爬取结果为,title:{title}, url:{url}")
|
||
# if re.match(r"^https://aiqicha.baidu.com/company_detail_.*|https://www.qcc.com/firm/.*|https://www.tianyancha.com/company/.*", url):
|
||
# data_list.append({"title":title, "url":url})
|
||
# return data_list
|
||
|
||
|
||
|
||
def filter_company_sites(urls):
|
||
# urls https://www.tianyancha.com/company/5226478758
|
||
# url:https://aiqicha.baidu.com/company_detail_26602790857925
|
||
# url:https://www.qcc.com/firm/05b449eb5cc417d0f97c14104051f5c0.html
|
||
# 匹配 前缀https://aiqicha.baidu.com/company_detail_*,https://www.qcc.com/firm/*.html,https://www.tianyancha.com/company/5226478758*
|
||
filtered_urls = [url for url in urls if re.match(r"^https://aiqicha.baidu.com/company_detail_.*|https://www.qcc.com/firm/.*|https://www.tianyancha.com/company/.*", url)]
|
||
return filtered_urls
|
||
|
||
|
||
def save_to_csv(filter_list):
|
||
|
||
if filter_list is None or len(filter_list) == 0:
|
||
print('filter_list is None or len(filter_list) == 0, 没有数据可写入')
|
||
return False
|
||
"""
|
||
将结果追加写入csv文件中
|
||
|
||
Args:
|
||
filter_list: 需要写入的数据列表
|
||
"""
|
||
csv_file = 'company_search_result_data.csv'
|
||
headers = ['title', 'url', 'web_site_type', 'request_url', 'company_name', 'create_time']
|
||
|
||
# 判断文件是否存在，不存在则创建并写入列头
|
||
file_exists = os.path.exists(csv_file)
|
||
|
||
# 读取现有数据，用于判断重复项
|
||
existing_data = set()
|
||
if file_exists:
|
||
with open(csv_file, 'r', encoding='utf-8') as f:
|
||
reader_ins = csv.reader(f)
|
||
header_skipped = False
|
||
for row in reader_ins:
|
||
if not header_skipped:
|
||
header_skipped = True
|
||
continue
|
||
if len(row) >= 5: # 确保行数据完整
|
||
company_name = row[4] # company_name在第5列(索引4)
|
||
web_site_type = row[2] if len(row) > 2 else "" # web_site_type在第3列(索引2)
|
||
existing_data.add((company_name, web_site_type))
|
||
|
||
# 写入数据
|
||
with open(csv_file, 'a', encoding='utf-8', newline='') as f:
|
||
writer = csv.writer(f)
|
||
|
||
# 如果文件不存在，写入列头
|
||
if not file_exists:
|
||
writer.writerow(headers)
|
||
|
||
# 追加写入数据，去重处理
|
||
for data_node in filter_list:
|
||
company_name = data_node.get('company_name', '')
|
||
web_site_type = data_node.get('web_site_type', '')
|
||
|
||
# 判断是否已存在相同的company_name和web_site_type组合
|
||
if (company_name, web_site_type) not in existing_data:
|
||
# 创建时间格式化
|
||
create_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
|
||
|
||
# 写入数据行
|
||
row_data = [
|
||
data_node.get('title', ''),
|
||
data_node.get('url', ''),
|
||
web_site_type,
|
||
data_node.get('request_url', ''),
|
||
company_name,
|
||
create_time
|
||
]
|
||
writer.writerow(row_data)
|
||
|
||
# 添加到已存在数据集合中，避免本次写入中的重复
|
||
existing_data.add((company_name, web_site_type))
|
||
|
||
print(f"写入数据成功,title:{data_node.get('title', '')}, "
|
||
f"url:{data_node.get('url', '')}, "
|
||
f"web_site_type:{web_site_type}, "
|
||
f"request_url:{data_node.get('request_url', '')}, "
|
||
f"company_name:{company_name}, "
|
||
f"create_time:{create_time}")
|
||
|
||
|
||
def search_company_info(company_name_key, addon_args, num):
|
||
|
||
search_key = company_name_key.strip() + " " + addon_args
|
||
search_key = search_key.strip()
|
||
|
||
result = Bing.bing_main(search_key, num)
|
||
|
||
# for 循环 遍历 result[0] 和 result[1]
|
||
|
||
return result
|
||
|
||
def search_one_company(company_name_arg, num):
|
||
|
||
keywords = company_name_arg
|
||
# for key in keyword:
|
||
# keywords = keywords + key + " "
|
||
keywords = keywords.strip()
|
||
print(f"---==您搜索的关键词为:{keywords}")
|
||
wb = openpyxl.Workbook()
|
||
# 删除默认创建的工作表（现在名为 "数据表1"）
|
||
wb.remove(wb['Sheet'])
|
||
printascii()
|
||
pattern = r"[\\/:\*\?\"<>|]"
|
||
keyword = re.sub(pattern, "", keywords)
|
||
create_sheet_and_write(wb, Bing.bing_main, keywords, num, "必应爬取结果")
|
||
create_sheet_and_write(wb, Baidu.baidu_main, keywords, num, "百度爬取结果")
|
||
# 将所有url变为超链接,点击即可打开转跳
|
||
update_hyperlinks(wb)
|
||
wb.save(f'./{keyword}-{company_name_arg}.xlsx')
|
||
print(Fore.GREEN + '总任务结束!' + Fore.RESET)
|
||
end = time.time()
|
||
print(Fore.RED + f'脚本总时间: {end - start:.2f}')
|
||
|
||
|
||
if __name__ == '__main__':
|
||
if True:
|
||
print("exit")
|
||
exit(0)
|
||
i = 1
|
||
for company_name_ele in check_result:
|
||
company_name = company_name_ele["company_name"]
|
||
company_exists = company_name_ele["exists"]
|
||
|
||
# 如果公司已存在，跳过处理
|
||
if company_exists:
|
||
print(f"公司 {company_name} 已存在，跳过处理")
|
||
continue
|
||
|
||
sleep_time = 5
|
||
sleep_time += random.randint(3, 10)
|
||
time.sleep(sleep_time)
|
||
|
||
addon_args = " 爱企查|企查查"
|
||
data_list = search_company_info(company_name, addon_args, '1')
|
||
filter_list = filter_aiqicha_qcc(data_list, company_name)
|
||
print("filter_list:",filter_list)
|
||
|
||
save_to_csv(filter_list)
|
||
if len(filter_list)<= 0:
|
||
print("没有数据 filter_list is empty. "+company_name)
|
||
continue
|
||
|
||
i=i+1
|
||
if i > 100:
|
||
break |