IP | Country | PORT | ADDED |
---|---|---|---|
88.87.72.134 | ru | 4145 | 37 minutes ago |
178.220.148.82 | rs | 10801 | 37 minutes ago |
181.129.62.2 | co | 47377 | 37 minutes ago |
72.10.160.170 | ca | 16623 | 37 minutes ago |
72.10.160.171 | ca | 12279 | 37 minutes ago |
176.241.82.149 | iq | 5678 | 37 minutes ago |
79.101.45.94 | rs | 56921 | 37 minutes ago |
72.10.160.92 | ca | 25175 | 37 minutes ago |
50.207.130.238 | us | 54321 | 37 minutes ago |
185.54.0.18 | es | 4153 | 37 minutes ago |
67.43.236.20 | ca | 18039 | 37 minutes ago |
72.10.164.178 | ca | 11435 | 37 minutes ago |
67.43.228.250 | ca | 23261 | 37 minutes ago |
192.252.211.193 | us | 4145 | 37 minutes ago |
211.75.95.66 | tw | 80 | 37 minutes ago |
72.10.160.90 | ca | 26535 | 37 minutes ago |
67.43.227.227 | ca | 13797 | 37 minutes ago |
72.10.160.91 | ca | 1061 | 37 minutes ago |
99.56.147.242 | us | 53096 | 37 minutes ago |
212.31.100.138 | cy | 4153 | 37 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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Full control and management of proxies via API.
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To scrape all HTML content from a website using Scrapy, you need to create a spider that visits each page of the website and extracts the HTML content. Here's a simple example:
Create a Scrapy Project:
If you haven't already, create a Scrapy project by running the following commands in your terminal or command prompt:
scrapy startproject myproject
cd myproject
Define a Spider:
Open the spiders directory in your project and create a spider (e.g., html_spider.py). Edit the spider file with the following content:
import scrapy
class HtmlSpider(scrapy.Spider):
name = 'html_spider'
start_urls = ['http://example.com'] # Start with the main page of the website
def parse(self, response):
# Extract HTML content and yield it
html_content = response.text
yield {
'url': response.url,
'html_content': html_content
}
# Follow links to other pages (if needed)
for next_page_url in response.css('a::attr(href)').extract():
yield scrapy.Request(url=next_page_url, callback=self.parse)
This spider, named html_spider, starts with the main page (start_urls) and extracts the HTML content. It then follows links (a::attr(href)) to other pages and extracts their HTML content as well.
Run the Spider:
Run your spider using the following command:
scrapy crawl html_spider -o output.json
This command will execute the html_spider and save the output in a JSON file named output.json. Each item in the JSON file will contain the URL and HTML content of a page.
First you should check if its characteristics are correct. Some proxy servers are just IP address and port number, others use so called "connection script". You need to double-check that the data was entered correctly.
To specify the data of a proxy server in the Opera browser, you need to follow the algorithm below:
Open the browser.
Click on the Opera icon in the upper left corner.
Go to "Settings".
Select the "Advanced" option.
Scroll down to the "System" tab.
Click "Open proxy settings for computer".
Click on "Network settings".
Activate the "Use a proxy server" option.
In the tab that opens, specify the IP address of the proxy server. The address must be entered in the field of the protocol to which the proxy server belongs. You can get this information from your proxy provider.
Click "OK" to save your settings.
First you should check if its characteristics are correct. Some proxy servers are just IP address and port number, others use so called "connection script". You need to double-check that the data was entered correctly.
The proxy domain most often refers to the IP address where the server is located. It can only "learn" the IP address of the user when processing the traffic. But in most cases it does not store such information later for security reasons.
What else…