diff --git a/mapactionpy_controller/convert_json_to_csv.py b/mapactionpy_controller/convert_json_to_csv.py
new file mode 100644
index 0000000..6b7e5fc
--- /dev/null
+++ b/mapactionpy_controller/convert_json_to_csv.py
@@ -0,0 +1,88 @@
+import os
+import pandas as pd
+import json
+
+
+def parse_directory(sourceDir, extList):
+    sourceList = []
+    for root, dirs, files in os.walk(sourceDir):
+        for file in files:
+            for ext in extList:
+                if file.endswith(ext):
+                    # print(os.path.join(root, file))
+                    # sourceList.append([root, file])
+                    sourceList.append(os.path.join(root, file))
+    return sourceList
+
+
+def process_json_report(json_source):
+    # Load JSON into Dictionary Type object
+    # Note the JSON headers don't follow order of the file
+    with open(json_source) as json_data:
+        json_d = json.load(json_data)
+
+    # Various structure definitions - obtain from the Metis codebase
+    # To ensure final column order
+    prod_details = [
+        'classification',
+        'productName',
+        'result',
+        'summary',
+    ]
+
+    correct_order = [
+        'classification',
+        'productName',
+        'result',
+        'added',            # Unpacked from results
+        'dataSource',       # Unpacked from results
+        'dateStamp',        # Unpacked from results
+        'hash',             # Unpacked from results
+        'layerName',        # Unpacked from results
+        'message',          # Unpacked from results
+        'summary',
+    ]
+
+    # Add to a Pandas Data frame - or process into seprate tables.
+    df_start = pd.DataFrame.from_dict(json_d)
+    df_ok = df_start[prod_details]
+    df_ok = df_ok.drop_duplicates()
+    #
+    df_results = pd.DataFrame.from_dict(json_d['results'])
+    #
+    df_final = df_results
+    # Append results values
+    for col in df_ok.columns.values:
+        df_final[col] = df_ok[col][0]
+    # Reorder cols
+    df_final = df_final[correct_order]
+    return df_final
+
+
+#
+def main(arvg=None):
+    # Define location of folder with JSON report files.
+    # To do - set up argument parsing...
+    root = r'J:\04_MapAction\Projects\Metis\TaskManager'
+    json_dir = r'json_examples'
+    json_dir = os.path.join(root, json_dir)
+    # Get all reports as a list of file paths
+    reports = parse_directory(json_dir, ['.json'])
+    # Loop through the folder of JSON reports
+    # Process each source json file in turn
+    # Append to a list object for final aggregation
+    all_product_output = []
+    for json_source in reports:
+        print("Processing {0}...".format(json_source))
+        df_processed_json = process_json_report(json_source)
+        all_product_output.append(df_processed_json)
+        print('Finished processing.')
+    # Merge all dfs into a single df
+    df_all = pd.concat(all_product_output)
+    # Export to csv
+    df_all.to_csv('merged_reports.csv', index=False)
+    print('End.')
+
+
+if __name__ == '__main__':
+    main()