When web scraping domain.com
or any other domain, you might encounter several HTTP status codes, especially when the server responds with an error. Below are some common HTTP error codes that you may come across:
1. 4xx
Client Errors
- 400 Bad Request: This error indicates that the server could not understand the request due to invalid syntax.
- 401 Unauthorized: This means authentication is required, and it has failed or has not yet been provided.
- 403 Forbidden: The request was valid, but the server is refusing action. You might not have the necessary permissions to access the resource.
- 404 Not Found: The requested resource could not be found, but may be available in the future.
- 429 Too Many Requests: You've sent too many requests in a given amount of time (rate limiting).
2. 5xx
Server Errors
- 500 Internal Server Error: A generic error message, given when an unexpected condition was encountered and no more specific message is suitable.
- 502 Bad Gateway: The server was acting as a gateway or proxy and received an invalid response from the upstream server.
- 503 Service Unavailable: The server cannot handle the request (because it is overloaded or down for maintenance).
- 504 Gateway Timeout: The server was acting as a gateway or proxy and did not receive a timely response from the upstream server.
Handling HTTP Errors in Python
When scraping using Python, you can use libraries like requests
to handle HTTP requests and errors gracefully. Here's an example of how you might handle errors:
import requests
from requests.exceptions import HTTPError
url = "http://domain.com/resource"
try:
response = requests.get(url)
# If the response was successful, no Exception will be raised
response.raise_for_status()
except HTTPError as http_err:
print(f'HTTP error occurred: {http_err}')
except Exception as err:
print(f'Other error occurred: {err}')
else:
print('Success!')
# You might also want to check the status code explicitly
if response.status_code == 404:
print("Resource not found!")
Handling HTTP Errors in JavaScript
In JavaScript, especially when using fetch
, you can handle HTTP errors by checking the response status codes:
fetch('http://domain.com/resource')
.then(response => {
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
return response.blob();
})
.then(myBlob => {
// Process the blob
})
.catch(error => {
console.log('There was a problem with the fetch operation: ' + error.message);
});
Scraping Best Practices
- Respect
robots.txt
: Always checkdomain.com/robots.txt
to see which parts of the site the owner has disallowed for scraping. - User-Agent: Set a proper
User-Agent
when making requests to identify your scraper as a bot. - Handle Rate-Limiting: Implement retry logic with backoff and respect the rate limits as indicated by
429 Too Many Requests
errors or in the site's documentation. - Legal Concerns: Be aware of legal implications and terms of service of the website you are scraping.
Remember that excessive scraping can put a heavy load on domain.com
servers, or your activity might be considered malicious. Always scrape responsibly and ethically to avoid potential issues.