The following is a basic Python crawler code template, which can be modified as needed:
```python
import requests
from bs4 import BeautifulSoup
# Set request headers to simulate browser access
headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
# Send request
response = requests.get(url, headers=headers)
# Parsing webpage content
soup = BeautifulSoup(response.text, 'html.parser')
# Extract the required information
data = soup.find_all('tag', attrs={'class': 'class_name'})
# Processing data
for item in data:
# Processing data
# Store data
with open('filename', 'w', encoding='utf-8') as f:
f.write(data)
# Complete code
import requests
from bs4 import BeautifulSoup
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
data = soup.find_all('tag', attrs={'class': 'class_name'})
for item in data:
# process the data
with open('filename', 'w', encoding='utf-8') as f:
f.write(data)
```
Among them, the parts that need to be modified according to the actual situation include:
- `url`: the link of the web page to be crawled.
- `tag` and `class_name`: the HTML tag and class name where the information to be extracted is located.
- Data processing part: process the extracted data as required.
- Store data section: Store data into files or databases as needed.