


Python crawler: Challenges of requests library and dynamic web content
When using Python's requests
library to crawl web page data, you often encounter situations where the content you get is inconsistent with the browser's display results, especially when dealing with dynamically loaded web pages. This article will analyze such problems and provide solutions based on selenium
library.
Problem: Conflict between static crawling and dynamic content
Many websites use JavaScript to load content dynamically. requests
library can only obtain the initial HTML source code of the web page and cannot execute JavaScript code, resulting in the missing content dynamically loaded.
For example, try to use requests
to obtain a certain logistics information web page (the address is omitted to protect privacy):
import requests url = '...' # Logistics Information Web Address Headers = { '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/114.0.1823.58' } response = requests.get(url, headers=headers) html_content = response.content.decode('utf-8')
Since the web page uses JavaScript to load logistics information dynamically, html_content
obtained by requests
will lack key data.
Solution: Selenium simulates browser behavior
To solve this problem, we can use the selenium
library to simulate browser behavior, execute JavaScript code and get the complete web page content.
import time from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC # Set the browser driver path (please modify it according to the actual situation) driver_path = '/path/to/chromedriver' driver = webdriver.Chrome(executable_path=driver_path) url = '...' # Logistics information web address driver.get(url) # Use explicit wait to ensure that the page loads complete (avoid element positioning failure) try: element = WebDriverWait(driver, 10).until( EC.presence_of_element_located((By.ID, 'logisticsInfo')) # Modify according to the actual web page element ID) logistics_info = element.text print(logistics_info) except: print("Logistics information element not found") driver.quit()
This code uses selenium
to open the web page, and uses WebDriverWait
to wait for the specific element to appear, ensuring that the page is fully loaded before extracting the logistics information (assuming that the logistics information is located in an element with id 'logisticsInfo', please modify it according to the actual situation). Remember to install the necessary drivers and replace /path/to/chromedriver
for your actual path to chromedriver.
Through selenium
, we can overcome the limitations of requests
when processing dynamic web pages and effectively obtain dynamically loaded web page content. Note that By.ID
and 'logisticsInfo'
need to be adjusted according to the actual HTML structure of the landing page.
The above is the detailed content of How to solve the problem of missing dynamic loading content when obtaining web page data?. For more information, please follow other related articles on the PHP Chinese website!

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