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搜索引擎优化中如何处理重复内容问题

import time

from multiprocessing import Pool

模拟官方UA列表

OFFICIAL_UAS = [

Mozilla/5.0 (compatible; Baiduspider/2.0; +)",

Mozilla/5.0 (compatible; Googlebot/2.1; +)",

360Spider

class SpiderSimulator:

def __init__(self, target_urls):

self.target_urls = target_urls

def simulate_crawl(self, url):

模拟单次爬取行为

ua = random.choice(OFFICIAL_UAS)

print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] 使用UA {ua} 访问 {url}")

实际应包含请求间隔控制、代理IP轮换等逻辑

time.sleep(random.uniform(0.5, 2.0))

return True

if __name__ == '__main__':

示例URL列表（实际应从数据库或文件读取）

urls = [

pool = Pool(processes=3) 并发控制

simulator = SpiderSimulator(urls)

pool.map(simulator.simulate_crawl, urls)

requests==2.31.0

fake-useragent==1.3.0

python-dotenv==1.0.0

SEO作弊的坏处：揭秘搜索引擎优化陷阱

import time

from multiprocessing import Pool

模拟官方UA列表

OFFICIAL_UAS = [

Mozilla/5.0 (compatible; Baiduspider/2.0; +)",

Mozilla/5.0 (compatible; Googlebot/2.1; +)",

360Spider

class SpiderSimulator:

def __init__(self, target_urls):

self.target_urls = target_urls

def simulate_crawl(self, url):

模拟单次爬取行为

ua = random.choice(OFFICIAL_UAS)

print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] 使用UA {ua} 访问 {url}")

实际应包含请求间隔控制、代理IP轮换等逻辑

time.sleep(random.uniform(0.5, 2.0))

return True

if __name__ == '__main__':

示例URL列表（实际应从数据库或文件读取）

urls = [

pool = Pool(processes=3) 并发控制

simulator = SpiderSimulator(urls)

pool.map(simulator.simulate_crawl, urls)

requests==2.31.0

fake-useragent==1.3.0

python-dotenv==1.0.0

wifi网速慢的解决办法

import time

from multiprocessing import Pool

模拟官方UA列表

OFFICIAL_UAS = [

Mozilla/5.0 (compatible; Baiduspider/2.0; +)",

Mozilla/5.0 (compatible; Googlebot/2.1; +)",

360Spider

class SpiderSimulator:

def __init__(self, target_urls):

self.target_urls = target_urls

def simulate_crawl(self, url):

模拟单次爬取行为

ua = random.choice(OFFICIAL_UAS)

print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] 使用UA {ua} 访问 {url}")

实际应包含请求间隔控制、代理IP轮换等逻辑

time.sleep(random.uniform(0.5, 2.0))

return True

if __name__ == '__main__':

示例URL列表（实际应从数据库或文件读取）

urls = [

pool = Pool(processes=3) 并发控制

simulator = SpiderSimulator(urls)

pool.map(simulator.simulate_crawl, urls)

requests==2.31.0

fake-useragent==1.3.0

python-dotenv==1.0.0

SEO优化文案：提升网站流量，打造高效营销策略

import time

from multiprocessing import Pool

模拟官方UA列表

OFFICIAL_UAS = [

Mozilla/5.0 (compatible; Baiduspider/2.0; +)",

Mozilla/5.0 (compatible; Googlebot/2.1; +)",

360Spider

class SpiderSimulator:

def __init__(self, target_urls):

self.target_urls = target_urls

def simulate_crawl(self, url):

模拟单次爬取行为

ua = random.choice(OFFICIAL_UAS)

print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] 使用UA {ua} 访问 {url}")

实际应包含请求间隔控制、代理IP轮换等逻辑

time.sleep(random.uniform(0.5, 2.0))

return True

if __name__ == '__main__':

示例URL列表（实际应从数据库或文件读取）

urls = [

pool = Pool(processes=3) 并发控制

simulator = SpiderSimulator(urls)

pool.map(simulator.simulate_crawl, urls)

requests==2.31.0

fake-useragent==1.3.0

python-dotenv==1.0.0

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