The dataset extracted by the script contains news article metadata from the TV BRICS website, spanning multiple languages. The dataset is structured as a CSV file. Coliumns Language: The language in which the news article is published. The dataset includes news articles in Russian, English, Portuguese, Chinese, Spanish, and Arabic. Title: The headline or title of the news article. Path: The relative URL path of the article on TV BRICS (e.g., /news/iran-zapustil-pervuyu-v-islamskom-mire-platformu-dlya-nauchnogo-obmena/). Link: The full URL to the news article, constructed using the website domain (e.g., https://tvbrics.com/news/iran-zapustil-pervuyu-v-islamskom-mire-platformu-dlya-nauchnogo-obmena/). Characteristics of the Dataset Multilingual Scope: The dataset includes articles from different linguistic sections of the website, making it suitable for comparative media analysis across languages. Structured and Uniform Format: Each entry contains a standardized format with a title, relative path, and absolute URL. Pagination-Based Extraction: Articles are fetched from multiple pages per language, ensuring a broad coverage of news over time. Chronologically Ordered: The scraping script sorts the results by publication date in descending order, capturing the most recent articles first. Deduplication Considerations: The script prevents redundant entries by checking if the first scraped article on a page already exists in the dataset. Potential Uses Comparative News Analysis: Investigating how different linguistic versions of TV BRICS report on the same events. Disinformation and Influence Studies: Analyzing narratives and framing across language-specific editions. International Media Monitoring: Tracking coverage trends across geopolitical regions. Linguistic and Sentiment Analysis: Evaluating tone, sentiment, and framing variations by language. This dataset serves as a structured repository of TV BRICS articles, facilitating further research in media studies, information operations, and digital propaganda analysis.