Web scraping typically involves making HTTP requests to a web server and then parsing the returned content, usually HTML, to extract the information you need. An HTTP HEAD
request is a type of HTTP request method that requests the headers that would be returned if the requested URL's document were requested with an HTTP GET
request. However, an HTTP HEAD
request does not return the body of the response; it only returns the HTTP status and headers.
Since the primary goal of web scraping is to extract data from the content of a web page, using only HEAD
requests is generally not sufficient for web scraping because you do not receive the content itself, which is necessary to scrape the data.
Here's why HEAD
requests are typically not used for web scraping:
Lack of Content: The
HEAD
request does not return the response body, which means you cannot access the actual content you want to scrape.Limited Use Cases:
HEAD
requests are primarily useful for checking meta-information about the content, such as its size (Content-Length
header), its type (Content-Type
header), or its last modified date (Last-Modified
header). This can be helpful for deciding whether to download a large file or to check for updates without downloading the entire resource.Server Restrictions: Some servers may not implement
HEAD
requests correctly, or they may ignoreHEAD
requests entirely, returning different headers than they would for aGET
request.
That said, HEAD
requests can still be useful in web scraping in certain scenarios, such as:
Pre-checking Resources: Before downloading a large file or a page, you can use a
HEAD
request to check theContent-Length
orLast-Modified
headers to determine if the resource has changed or if it's too large to download.Rate Limiting: If you're dealing with rate limits and want to minimize the number of
GET
requests, you might useHEAD
requests to check for updates before deciding to use aGET
request to fetch the entire resource.
Here's an example of how you might use a HEAD
request in Python using the requests
library:
import requests
url = 'https://example.com/some-page.html'
response = requests.head(url)
# Check the status code
print('Status Code:', response.status_code)
# Print the headers
for header, value in response.headers.items():
print(header, ':', value)
# Decide whether to proceed with a GET request
if 'Content-Length' in response.headers:
content_length = int(response.headers['Content-Length'])
if content_length < 1000000: # Arbitrary 1MB threshold
full_response = requests.get(url)
# Now you can scrape content from full_response.text
While HEAD
requests can be useful for specific tasks in the context of web scraping, they cannot replace GET
requests for the actual data extraction process. If you're planning to scrape content from a web page, you'll need to use GET
requests to retrieve the page content before you can parse and extract the data you need.