How can I build a DataFrame of MLBAM IDs for all active MLB and MiLB players?
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MellowCedar42
I've been trying to create a Pandas DataFrame containing the MLBAM ID for every currently active professional baseball player in MLB and MiLB who matches certain criteria, such as age, salary, or statistics. I already have Pandas, pybaseball, and MLB-StatsAPI installed, but I'm open to using another library if necessary. Simply iterating through a range of possible IDs won't work because I only want active players.
Answers
Pandas can handle the filtering once you have the player records, but the main challenge is finding a reliable source for the active-player list. Make sure the endpoint or dataset you use includes both MLB and MiLB players for the season you’re analyzing, since a general ID range will also contain retired, inactive, or nonexistent players.
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Rather than relying on pybaseball’s reverse lookup, use the MLB StatsAPI sports endpoint. For example, `/api/v1/sports/1/players?season=2026` returns players with roster spots for that season, and each record’s `id` value is the MLBAM ID. You can load the response into a DataFrame and then filter by age, salary, stats, or any other fields you need.
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MellowCedar42: That’s exactly what I needed—thanks! One request is much cleaner than trying to generate and filter possible IDs.