Simpcity Proxy

Parsing PDF files in C++ can be a complex task due to the intricacies of the PDF format. However, you can use third-party libraries to simplify the process. One popular library for PDF parsing in C++ is "Poppler."

Here are the basic steps to parse PDF files using the Poppler library:

1. Install Poppler:

   • On Linux: You can typically install Poppler using the package manager for your distribution (e.g., apt-get install poppler-utils on Ubuntu).
   • On Windows: You can download the Poppler binaries from the official Poppler release page or use package managers like MSYS2 or vcpkg.

2. Use Poppler in C++:

   • Here's a simple example using Poppler in C++ to extract text from a PDF file:

#include 
#include 

int main() {
    // Replace "your_file.pdf" with the path to your PDF file
    QString pdfFilePath = "your_file.pdf";

    // Open the PDF file
    Poppler::Document* document = Poppler::Document::load(pdfFilePath);

    if (document) {
        // Iterate through pages
        for (int i = 0; i < document->numPages(); ++i) {
            Poppler::Page* pdfPage = document->page(i);

            // Extract text from the page
            QString text = pdfPage->text();
            std::cout << text.toStdString() << std::endl;

            delete pdfPage;
        }

        delete document;
    } else {
        std::cerr << "Failed to open the PDF file." << std::endl;
    }

    return 0;
}

Build and Link:

• Make sure to link your C++ program with the Poppler library. For example, using g++ on Linux:

g++ your_program.cpp -o your_program -lpoppler-qt5

4. Run the Program:

   • Execute your compiled program and provide the path to the PDF file as a command-line argument.

Keep in mind that this is a simple example, and Poppler provides more functionalities for extracting various information from PDF files. You might need to adapt the code based on your specific requirements.

To save the results of two Scrapy spiders into one JSON file, you can follow these general steps:

Run Both Spiders:
Run both Scrapy spiders separately to generate their respective output files. Let's assume you have two spiders named spider1 and spider2.

scrapy crawl spider1 -o output1.json
scrapy crawl spider2 -o output2.json

Merge JSON Files:
After running both spiders, you can merge the contents of the two JSON files into a single file using various methods. One way is to use a scripting language like Python.

import json

# Read the contents of both JSON files
with open('output1.json') as f1, open('output2.json') as f2:
    data1 = json.load(f1)
    data2 = json.load(f2)

# Combine the data from both spiders
combined_data = data1 + data2

# Write the combined data to a new JSON file
with open('combined_output.json', 'w') as combined_file:
    json.dump(combined_data, combined_file, indent=2)

Save this Python script (e.g., merge_json.py) in the same directory as the JSON files, and then run it:

python merge_json.py

This script reads the contents of both JSON files, combines the data, and writes the result into a new file (combined_output.json).

Verify the Result:
Check the combined_output.json file to ensure that it contains the merged data from both spiders.

It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.

Open the "Browser Properties" in the control panel, in the "Connections" section of the opened window select "Network Settings". Remove the check mark from the "Use proxy" item, click "OK".

In CentOS, if there is no graphical interface (from the terminal), proxy configuration is done through the export http_proxy=http://User:Pass@Proxy:Port/ command. Accordingly, User is the user, Pass is the password to identify you, Proxy is the IP address of the proxy, and Port is the port number. If you have DE, the configuration can be done via Network Manager (as in any other Linux distribution).