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The main problem encountered when using Overpy and Python to gather information from OSM in table format is that the resulting data can be very large and complex. This can make it difficult to work with and analyze the data effectively, especially if you are not experienced in data manipulation and analysis. Additionally, the OSM data is constantly changing as new information is added, which can make it difficult to maintain and update your data over time. Finally, there may be issues with data quality, as the accuracy of the information in OSM can vary depending on the source and the level of verification.