IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 43 minutes ago |
50.168.72.114 | us | 80 | 43 minutes ago |
50.207.199.84 | us | 80 | 43 minutes ago |
50.172.75.123 | us | 80 | 43 minutes ago |
50.168.72.122 | us | 80 | 43 minutes ago |
194.219.134.234 | gr | 80 | 43 minutes ago |
50.172.75.126 | us | 80 | 43 minutes ago |
50.223.246.238 | us | 80 | 43 minutes ago |
178.177.54.157 | ru | 8080 | 43 minutes ago |
190.58.248.86 | tt | 80 | 43 minutes ago |
185.132.242.212 | ru | 8083 | 43 minutes ago |
62.99.138.162 | at | 80 | 43 minutes ago |
50.145.138.156 | us | 80 | 43 minutes ago |
202.85.222.115 | cn | 18081 | 43 minutes ago |
120.132.52.172 | cn | 8888 | 43 minutes ago |
47.243.114.192 | hk | 8180 | 43 minutes ago |
218.252.231.17 | hk | 80 | 43 minutes ago |
50.175.123.233 | us | 80 | 43 minutes ago |
50.175.123.238 | us | 80 | 43 minutes ago |
50.171.122.27 | us | 80 | 43 minutes ago |
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JSON scraping typically involves extracting data from a JSON response obtained from an API. When you mention doing JSON scraping sequentially, it could mean processing items in the JSON response one after another. Below is a simple example in Python that demonstrates sequential processing of JSON data:
import requests
def fetch_data(url):
response = requests.get(url)
return response.json()
def process_item(item):
# Replace this with your actual processing logic
print("Processing item:", item)
def scrape_sequentially(api_url):
data = fetch_data(api_url)
# Assuming the JSON response is a list of items
if isinstance(data, list):
for item in data:
process_item(item)
else:
print("Invalid JSON format. Expected a list of items.")
# Replace 'https://example.com/api/data' with the actual API URL
api_url = 'https://example.com/api/data'
scrape_sequentially(api_url)
In this example:
fetch_data
function sends a GET request to the specified API URL and returns the JSON response.process_item
function represents the logic you want to apply to each item in the JSON response.scrape_sequentially
function fetches the JSON data, checks if it's a list, and then iterates through each item, applying the processing logic sequentially.Make sure to replace the placeholder URL 'https://example.com/api/data'
with the actual URL of the API you want to scrape.
However, there are alternative approaches and bindings that allow you to use Selenium with C++. Here are a couple of options:
CppDriver:
GitHub Repository: CppDriver
Keep in mind that the project may not be as actively maintained or feature-rich as official Selenium bindings for other languages.
WebDriver C++ Client Library (Unofficial):
GitHub Repository Example: webdriver-cpp
Note: Unofficial bindings might not be as comprehensive or up-to-date as official Selenium bindings.
Use Selenium with C++ via External Libraries:
Keep in mind that this approach may not provide the same level of abstraction and cross-browser compatibility as Selenium WebDriver.
Before choosing any of these options, carefully review the documentation, community support, and compatibility with your specific requirements. Since these projects are not officially supported by the Selenium project, they may have limitations and may not be as stable or feature-rich as Selenium WebDriver in other languages.
If PyCharm Community Edition (PyCharm CE) has stopped recognizing the Selenium package, it could be due to various reasons. Here are some steps you can take to troubleshoot and resolve the issue:
Check Virtual Environment:
Reinstall Selenium:
Try reinstalling the Selenium package in your project. Open the terminal in PyCharm and run the following command:
pip uninstall selenium
pip install selenium
PyCharm Cache:
Project Interpreter:
Check for Typos and Case Sensitivity:
Ensure that your import statements and references to the Selenium package are correct. Python is case-sensitive, so selenium
should be in lowercase.
from selenium import webdriver
Restart PyCharm:
Check for Python File Naming Conflicts:
Check for Project Integrity:
Update PyCharm:
External Factors:
Check Project SDK:
Check for IDE-Specific Issues:
After trying these steps, you should be able to resolve the issue of PyCharm CE not recognizing the Selenium package. If the problem persists, additional details about error messages or symptoms would be helpful for further assistance.
Using a proxy correctly involves understanding its purpose, choosing the right proxy server, configuring the proxy settings, and ensuring your security and privacy. Here's a step-by-step guide on how to use a proxy correctly:
1. Understand the purpose: Proxies are used to hide your IP address, bypass geographic restrictions, and access content that may be blocked in your region. They act as an intermediary between your device and the internet, forwarding requests and receiving responses on your behalf.
2. Choose a reliable proxy server: Select a proxy server that is fast, reliable, and secure. You can find proxy servers from various sources, including free proxy lists, paid proxy services, or proxy providers. Make sure to choose a proxy server that matches your needs, such as an HTTP, HTTPS, or SOCKS proxy, depending on your use case.
3. Check the proxy server's speed and performance: Before using a proxy server, test its speed and performance to ensure it meets your requirements. You can use online tools like Speedtest.net to test the proxy server's connection speed.
4. Configure the proxy settings: Once you have chosen a proxy server, configure the proxy settings on your device or application. This usually involves entering the proxy server's IP address, port number, and any required authentication details (username and password).
5. Test your connection: After configuring the proxy settings, test your connection to ensure that the proxy is working correctly and that you can access the content you want.
6. Monitor your proxy usage: Regularly monitor your proxy usage to ensure it is working as expected. Keep an eye on your connection speed, and be aware of any changes in your proxy server's performance or availability.
7. Secure your connection: When using a proxy, always use a secure connection (HTTPS) to protect your data from being intercepted or tampered with. Some proxy servers may offer encryption, but it's always better to use HTTPS when possible.
8. Respect the proxy server's terms of service: Be aware of and adhere to the terms of service of the proxy server you are using. Some proxy servers may have usage limits, restrictions on certain types of content, or rules against illegal activities.
9. Be cautious with free proxies: While free proxies can be useful, they may be slower, less reliable, and less secure than paid proxies. Be cautious when using free proxies, and consider using a paid proxy service if you require a higher level of security and performance.
10. Protect your privacy: When using a proxy, be mindful of your online activities and protect your privacy. Avoid accessing sensitive information or performing activities that could compromise your security while connected to a proxy.
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.
What else…