Vehicular collisions with wildlife are among the main threats to terrestrial wildlife populations, especially in areas of high biodiversities, such as the state of Mato Grosso do Sul, in Brazil. Some studies propose measures to mitigate this problem on roads, however, many obstacles are encountered, such as difficulty in performing quality monitoring and accurately estimating a wildlife collision rates. Today, there is a great advance in communications through social media, so they can be helpful for some of these problems of ecological monitoring and wildlife conservation. There is a great potential for these communication networks for research related to biodiversity conservation through the use of online data, such as news portals, social media, and biodiversity data platforms. The present study proposes to understand how the threats related to vehicular collisions with wildlife are represented in the online media, more specifically in news portals, seeking to assess, in the future, whether or not this media reflects the dangers of the highways in the state of Mato Grosso do Sul. The research was based on extracting online data from some selected news portals, 19 of which are regional portals in the state (Olhar MS, Campo Grande News, MS em dia, Top Mídia News, Jornal do Estado do MS, among others) and four of a larger scale (G1, R7, O Globo and Google News), this was done based on the methodology called web scraping, which aims to obtain information available in the online environment. To accomplish this, it was necessary to use the Python language and some of its libraries, such as Beautiful Soup 4 and Selenium. The concomitant use of the two libraries allowed the development of an automated test browser that performed online data extraction from news sites, searching for information of interest that is available in HTML. Using the tool above, we searched for content focused on situations of vehicular collisions with wildlife on the highways of the state of Mato Grosso do Sul on websites/news portals. Our search resulted in a database with 357 news of 192 wildlife vehicle collisions events. Thirty-five species of wildlife affected by vehicle collisions were reported, of which 11 were endangered and near-threatened species, such as tapirs (Tapirus terrestris), giant anteaters (Myrmecophaga tridactyla), and jaguars (Panthera onca). More severe accidents for human safety, such as those caused by giant animals like the capybara (Hydrochoerus hydrochaeris), are not widely reported, evidencing a gap in the use of online data, which may be directly related to the public interest in certain more charismatic species.