IP | Country | PORT | ADDED |
---|---|---|---|
72.10.160.173 | ca | 13067 | 39 minutes ago |
50.220.168.134 | us | 80 | 39 minutes ago |
50.221.230.186 | us | 80 | 39 minutes ago |
103.87.149.19 | id | 80 | 39 minutes ago |
50.171.187.53 | us | 80 | 39 minutes ago |
67.43.236.20 | ca | 5765 | 39 minutes ago |
194.182.178.90 | bg | 3128 | 39 minutes ago |
32.223.6.94 | us | 80 | 39 minutes ago |
65.108.159.129 | fi | 5678 | 39 minutes ago |
50.223.246.226 | us | 80 | 39 minutes ago |
202.85.222.115 | cn | 18081 | 39 minutes ago |
50.168.72.113 | us | 80 | 39 minutes ago |
50.218.208.13 | us | 80 | 39 minutes ago |
50.171.187.51 | us | 80 | 39 minutes ago |
50.171.187.50 | us | 80 | 39 minutes ago |
50.207.199.81 | us | 80 | 39 minutes ago |
93.171.157.249 | ru | 8080 | 39 minutes ago |
83.1.176.118 | pl | 80 | 39 minutes ago |
212.69.125.33 | ru | 80 | 39 minutes ago |
89.221.215.128 | cz | 80 | 39 minutes ago |
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If you want to check the proxy's regionality, use a tool such as the proxy checker. You can either download the program or use it online. To perform the check, which allows you to determine not only the country and city, but also a number of other important indicators, you need to enter your username and password in the appropriate fields.
When performing web scraping with authorization in Python, you typically need to simulate the login process of a user by sending the necessary authentication data (such as username and password) to the website. The exact steps depend on the authentication method used by the website, and there are several common approaches
Basic Authentication (using requests library)
If the website uses HTTP Basic Authentication, you can include the authentication credentials in the request headers using the requests library.
import requests
url = 'https://example.com/data'
username = 'your_username'
password = 'your_password'
response = requests.get(url, auth=(username, password))
if response.status_code == 200:
# Successfully authenticated, you can now parse the content
print(response.text)
else:
print(f"Failed to authenticate. Status code: {response.status_code}")
Form-Based Authentication
For websites that use form-based authentication (login form), you need to send a POST request with the appropriate form data.
import requests
login_url = 'https://example.com/login'
data = {
'username': 'your_username',
'password': 'your_password',
}
# Use a session to persist the authentication across requests
with requests.Session() as session:
response = session.post(login_url, data=data)
if response.status_code == 200:
# Authentication successful, continue with subsequent requests
data_url = 'https://example.com/data'
data_response = session.get(data_url)
print(data_response.text)
else:
print(f"Failed to authenticate. Status code: {response.status_code}")
OAuth Authentication
For websites using OAuth, you might need to use an OAuth library like requests_oauthlib or oauthlib to handle the OAuth flow.
Handling Cookies
Sometimes, authentication is maintained using cookies. In such cases, you need to handle cookies in your requests.
import requests
login_url = 'https://example.com/login'
data = {
'username': 'your_username',
'password': 'your_password',
}
# Use a session to persist the authentication across requests
with requests.Session() as session:
login_response = session.post(login_url, data=data)
if login_response.status_code == 200:
# Authentication successful, continue with subsequent requests
data_url = 'https://example.com/data'
data_response = session.get(data_url)
print(data_response.text)
else:
print(f"Failed to authenticate. Status code: {login_response.status_code}")
In Node.js, you can introduce delays in your scraping logic using the setTimeout function, which allows you to execute a function after a specified amount of time has passed. This is useful for implementing delays between consecutive requests to avoid overwhelming a server or to comply with rate-limiting policies.
Here's a simple example using the setTimeout function in a Node.js script:
const axios = require('axios'); // Assuming you use Axios for making HTTP requests
// Function to scrape data from a URL with a delay
async function scrapeWithDelay(url, delay) {
try {
// Make the HTTP request
const response = await axios.get(url);
// Process the response data (replace this with your scraping logic)
console.log(`Scraped data from ${url}:`, response.data);
// Introduce a delay before making the next request
await sleep(delay);
// Make the next request or perform additional scraping logic
// ...
} catch (error) {
console.error(`Error scraping data from ${url}:`, error.message);
}
}
// Function to introduce a delay using setTimeout
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
// Example usage
const urlsToScrape = ['https://example.com/page1', 'https://example.com/page2', 'https://example.com/page3'];
// Loop through each URL and initiate scraping with a delay
const delayBetweenRequests = 2000; // Adjust the delay time in milliseconds (e.g., 2000 for 2 seconds)
for (const url of urlsToScrape) {
scrapeWithDelay(url, delayBetweenRequests);
}
In this example:
scrapeWithDelay
function performs the scraping logic for a given URL and introduces a delay before making the next request.sleep
function is a simple utility function that returns a promise that resolves after a specified number of milliseconds, effectively introducing a delay.urlsToScrape
array contains the URLs you want to scrape. Adjust the delay time (delayBetweenRequests
) based on your scraping needs.Please note that introducing delays is crucial when scraping websites to avoid being blocked or flagged for suspicious activity.
To connect to a proxy server with a password, provide the proxy address, port, and authentication credentials (username and password) in your browser or application settings. For popular browsers like Google Chrome and Mozilla Firefox, follow these general steps:
Open the browser and go to its settings.
Locate the proxy settings section.
Enter the proxy server address, port, username, and password.
Save the settings.
If you can't download images in Scrapy:
- Check the image pipeline configuration in settings.py.
- Verify HTTPS compatibility and install the certifi package if necessary.
- Confirm the correctness of XPath or CSS selectors for image URLs.
- Ensure image URLs are in the correct format; log URLs for inspection.
- Handle redirects by setting REDIRECT_ENABLED = True.
- Check and set appropriate HTTP headers in your Scrapy spider.
- Adjust the CONCURRENT_REQUESTS setting to avoid server restrictions.
- Verify correct configuration of the ImagesPipeline.
- Inspect the downloaded images in the specified IMAGES_STORE directory.
- Implement exception handling in your spider to catch download errors.
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