将结构不良的数据转换为json对象

Question

将具有非结构化数据的pdf转换为json对象的最佳方法是什么？您将使用什么工具来解析此数据？

我当然可以将pdf转换为csv格式，如果这样更简单，我愿意这样做。我仅尝试处理3个不同的文档，并且不介意手动执行某些工作。我更喜欢使用Java，但我也了解一些javascript和一小部分python。

我的最终目标是使用json对象填充mongodb数据库，甚至可能填充elasticSearch索引。

您可以提供的任何建议将不胜感激。

我要分析的文档是：

http://akccompanioneventresults.com/?moid=351

我希望生成的json对象看起来像这样：

{
"dogName" : "My Dolly Two Spots",
"armbandNumber" : 110,
"handler" : "Nancy Muller",
"breed" : "Papillon",
"round" : "Top 20",
"event" : "2019 AKC National Obedience Championship",
"date" : "2019-03-17",
"rings" :
    [
        {
            "ringNumber" : "1",
            "exercises" :
            [
                {
                    "exerciseName" : "DJ",
                    "judge" : "J Stephens",
                    "score" : 0.5
                }
                {
                    "exerciseName" : "DJ",
                    "judge" : "L Hause",
                    "score" : 1.0
                }
                {
                    "exerciseName" : "DR#3",
                    "judge" : "J Stephens",
                    "score" : 0.5
                }
                {
                    "exerciseName" : "DR#3",
                    "judge" : "L Hause",
                    "score" : 1.0
                }
                {
                    "exerciseName" : "Misc",
                    "judge" : "J Stephens",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "Misc",
                    "judge" : "L Hause",
                    "score" : 1.0
                }
            ] 
        }
        {
            "ringNumber" : "2",
            "exercises" :
            [
                {
                    "exerciseName" : "CD",
                    "judge" : "R Withers",
                    "score" : 1.0
                }
                {
                    "exerciseName" : "CD",
                    "judge" : "V Kinion",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "ROF",
                    "judge" : "R Withers",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "ROF",
                    "judge" : "V Kinion",
                    "score" : 0.0
                }

                {
                    "exerciseName" : "Misc",
                    "judge" : "R Withers",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "Misc",
                    "judge" : "V Kinion",
                    "score" : 0.0
                }
            ] 
        }
        {
            "ringNumber" : "7",
            "exercises" :
            [
                {
                    "exerciseName" : "RHJ",
                    "judge" : "C Wray",
                    "score" : 0.5
                }
                {
                    "exerciseName" : "RHJ",
                    "judge" : "J Nocilly",
                    "score" : 0.5
                }
                {
                    "exerciseName" : "HF-8",
                    "judge" : "C Wray",
                    "score" : 2.0
                }
                {
                    "exerciseName" : "HF-8",
                    "judge" : "J Nocilly",
                    "score" : 1.5
                }

                {
                    "exerciseName" : "Misc",
                    "judge" : "C Wray",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "Misc",
                    "judge" : "J Nocilly",
                    "score" : 0.0
                }
            ] 
        }
        {
            "ringNumber" : "8",
            "exercises" :
            [
                {
                    "exerciseName" : "DR",
                    "judge" : "B Lee",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "DR",
                    "judge" : "J Caputa",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "SE",
                    "judge" : "B Lee",
                    "score" : 2.0
                }
                {
                    "exerciseName" : "SE",
                    "judge" : "J Caputa",
                    "score" : 2.0
                }

                {
                    "exerciseName" : "Misc",
                    "judge" : "B Lee",
                    "score" : 0.0
                }
                {
                    "exerciseName" : "Misc",
                    "judge" : "J Caputa",
                    "score" : 0.0
                }
            ] 
        }
    ]

} ...