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How can you bypass IP blocks when web scraping?
Web scraping often triggers IP blocks when websites detect unusual traffic patterns. How can you avoid this? One method is to use proxies, which rotate your IP address with every request. Proxies can be free.. Another way is to mimic human behavior by randomizing request intervals and setting headers that resemble a real browser, such as user-agent or accept-language.
For instance, here’s a Python example using proxies with requests:import requests url = "https://example.com/products" proxies = { "http": "http://your-proxy-server:port", "https": "https://your-proxy-server:port" } headers = {"User-Agent": "Mozilla/5.0"} response = requests.get(url, headers=headers, proxies=proxies) if response.status_code == 200: print("Successfully fetched the page.") else: print("Blocked or failed to fetch the page.")
IP blocks can also be mitigated by using headless browsers like Puppeteer or Selenium to simulate user interactions. Additionally, ensuring that requests are not sent too frequently can reduce the risk of being flagged. How do you manage IP blocks in your scraping projects?
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