Master the Most Common HTTP Request Headers for Web Scraping
This guide explains the essential HTTP request header fields—Accept, Accept‑Encoding, Accept‑Language, User‑Agent, Connection, and Host—detailing their meanings, typical values, and how to use them to disguise a Python crawler and reliably fetch web pages.
When learning web crawling, you often press F12 or right‑click → Inspect to view the request headers, which are crucial for disguising the browser and silently retrieving page data; however, these headers are usually in English and can be confusing.
Common Field (1): Accept
Accept: text/html, application/xhtml+xml, application/xml;q=0.9, */*;q=0.8The Accept header indicates which content types the browser can handle, with optional quality factors (q) ranging from 0 to 1 that define preference order.
Common Field (2): Accept‑Encoding
Accept-Encoding: gzip, deflateThis header tells the server which compression encodings the client supports, such as gzip and deflate .
Common Field (3): Accept‑Language
Accept-Language: zh-CN, zh;q=0.8, en-US;q=0.5, en;q=0.3The Accept-Language header lists the languages the browser prefers, e.g., simplified Chinese (zh‑CN), generic Chinese (zh), US English (en‑US), and generic English (en).
Common Field (4): User‑Agent
User-Agent: Mozilla/5.0 (Windows NT6.1; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0The User-Agent string identifies the browser name, version, operating system, and rendering engine; it is often spoofed to mimic a real browser during crawling.
Common Field (5): Connection
Connection: keep-aliveThe Connection header specifies the type of network connection; keep-alive means a persistent connection, while close would terminate it after the request.
Common Field (6): Host and Referer
Host: www.youku.comThe Host header indicates the target server’s domain name. The Referer header (not shown in code) reveals the source URL from which the request originated.
Conclusion
This article covered six frequently used HTTP request header fields that are essential for Python web crawlers to disguise themselves and fetch data more effectively.
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