How to Fix Common Python Web‑Scraping Issues with Ready‑to‑Use Code

Introduction

Hello, I’m Pi Pi. Recently a question about Python web crawling was raised in a group, and I’m sharing the solution here.

Implementation Process

The issue can be solved with a simple for‑loop, but the original code lacked necessary request headers, resulting in no data being returned. Below are the detailed code examples.

import requests
import time

headers = {
    "authority": "stock.xueqiu.com",
    "accept": "*/*",
    "accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
    "origin": "https://xueqiu.com",
    "referer": "https://xueqiu.com/S/SH600600",
    "sec-ch-ua": "\"Not.A/Brand\";v=\"8\", \"Chromium\";v=\"114\", \"Microsoft Edge\";v=\"114\"",
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-platform": "\"Windows\"",
    "sec-fetch-dest": "empty",
    "sec-fetch-mode": "cors",
    "sec-fetch-site": "same-site",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.51"
}

cookies = {
    "xq_a_token": "57b2a0b86ca3e943ee1ffc69509952639be342b9",
    "xqat": "57b2a0b86ca3e943ee1ffc69509952639be342b9",
    "xq_r_token": "59c1392434fb1959820e4323bb26fa31dd012ea4",
    "xq_id_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9...",
    "u": "561687871945884",
    "device_id": "27b6ec56b772ea40c8582168f00a7604",
    "Hm_lvt_1db88642e346389874251b5a1eded6e3": "1687871949",
    "s": "ci1eygzbit",
    "is_overseas": "0",
    "Hm_lpvt_1db88642e346389874251b5a1eded6e3": "1687872001"
}

url = "https://stock.xueqiu.com/v5/stock/quote.json"
symbols = ['SH600600', 'SH600519', 'SH301183']
for symbol in symbols:
    params = {
        "symbol": f"{symbol}",
        "extend": "detail"
    }
    response = requests.get(url, headers=headers, cookies=cookies, params=params)
    time.sleep(3)
    print(response.text)
    print(response)

Running the code yields the expected JSON responses, as shown in the following screenshot.

Another contributor added a more concise version that directly builds the request URL for each symbol:

for i in ['SH600519', 'SZ300600', 'SZ301183']:
    url = f"https://stock.xueqiu.com/v5/stock/quote.json?symbol={i}&extend=detail"
    response = requests.get(url=url, headers=headers, cookies=cookies)
    json_data = response.json()
    print(json_data)

The problem was successfully resolved, demonstrating that multiple approaches can work as long as the request headers and cookies are correctly set.

Conclusion

This article presented a specific Python web‑scraping issue, explained the root cause, and provided complete code solutions to help readers overcome similar obstacles.