🧙‍♂️ Insert the XML-Link or Upload a File

If you encounter any issues, contact me at: reveni324@gmail.com

API Usage Instructions 📜

Processing Link

To process a link, use the following curl command:

curl -X 'POST' \
    'https://solrixml.ru/process_link' \
    -H 'Content-Type: application/json' \
    -d '{"link_url": "https://veconi.ru/feed-yml-0.xml"}' \
    -o process_response.json

Check Processing Status

To check the processing status, use the following curl command, replacing id=1234 with your preset ID:

curl -X 'GET' \
    'https://solrixml.ru/status/id=1234'

Downloading CSV File

To download the processed CSV file, use the following curl command, replacing the path with the file URL obtained from the response:

curl -X 'GET' \
    'https://solrixml.ru/download/data_files/veconi_ru'

Our Future Plans 🚀

In the near future, I plan to integrate artificial intelligence technologies for automated data processing. This will enable the creation of custom machine learning models that can efficiently analyze and process large volumes of data.

To achieve these goals, I am raising funds to purchase dedicated servers with GPU support, which will provide high performance and ensure the stable operation of the website. Owning these servers will significantly speed up data processing and enable the development and execution of complex AI tasks using my own infrastructure.

What are XML Links and How to Use Them?

XML links look like regular URLs, for example: https://example.com/data.xml. These links point to files containing data in XML format, which may include information about products, categories, prices, and more.

Example of XML file content:

<offers>
        <offer id="123">
            <name>Product Name</name>
            <price>99.99</price>
            <categoryId>456</categoryId>
            <description><![CDATA[Product description with <b>HTML</b> tags.]]></description>
            <param name="Color">Red</param>
            <param name="Size">M</param>
        </offer>
    </offers>

Your project allows processing such files, extracting data, and saving it in CSV format, making it easier to work with large amounts of information.