diff --git a/scripts/build_recipe_mapping.py b/scripts/build_recipe_mapping.py
deleted file mode 100644
index 7c71c5da..00000000
--- a/scripts/build_recipe_mapping.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""
-Builds the mapping file for ReCiPe using input flowable and context mappings,
-and recipe from the lcia_formatter
-Requires lciafmt from lcia_formatter (https://github.com/USEPA/lciaformatter)
-BEWARE this will replace the existing mapping file if it exists in /flowmapping
-"""
-
-import pandas as pd
-import fedelemflowlist
-from fedelemflowlist.globals import inputpath, flowmappingpath
-
-lcia_name = 'ReCiPe2016'
-
-if __name__ == '__main__':
-    ## Bring in ReCiPe flowables and contexts from the lcia_formatter
-    import lciafmt
-
-    lcia_lciafmt = lciafmt.get_method('ReCiPe 2016')
-   
-    # Keep only flowable and category
-    lcia_lciafmt = lcia_lciafmt[['Flowable', 'Context']]
-    lcia_lciafmt = lcia_lciafmt.drop_duplicates()
-    len(lcia_lciafmt)
-
-    # Add in context matches. Assume these are in inputfolder with lcia_name+standardname.csv
-    def get_manual_mappings(source, ftype):
-        """
-        Loads a csv mapping file
-        :param source: source name
-        :param ftype: 'Flowable' or 'Context'
-        :return: mapping file
-        """
-        mappings = pd.read_csv(inputpath + source + ftype + 'Mappings.csv')
-        return mappings
-
-
-    context_mappings = get_manual_mappings(lcia_name, 'Context')
-    lciafmt_w_context_mappings = pd.merge(lcia_lciafmt, context_mappings,
-                                          left_on='Context',
-                                          right_on='SourceFlowContext')
-    # Drop duplicate field
-    lciafmt_w_context_mappings = lciafmt_w_context_mappings.drop(columns=['Context'])
-    len(lciafmt_w_context_mappings)
-
-    # Add in flowable matches. Assume these are in inputfolder with lcia_name+standardname.csv
-    flowable_mappings = pd.read_csv(inputpath + lcia_name + 'FlowableMappings.csv')
-    len(flowable_mappings)
-    lciafmt_w_context_flowable_mappings = pd.merge(lciafmt_w_context_mappings,
-                                                   flowable_mappings,
-                                                   left_on='Flowable',
-                                                   right_on='SourceFlowName')
-    # Drop duplicate field
-    lciafmt_w_context_flowable_mappings = lciafmt_w_context_flowable_mappings.drop(columns='Flowable')
-    len(lciafmt_w_context_flowable_mappings)
-
-    # Merge LCIA with Flowlist
-    # Load full flow list to get all the contexts
-    flowlist = fedelemflowlist.get_flows()
-    flowlist = flowlist[['Flowable', 'Context', 'Unit', 'Flow UUID', 'Preferred']]
-    lcia_mappings = pd.merge(lciafmt_w_context_flowable_mappings, flowlist,
-                             left_on=['TargetFlowName', 'TargetFlowContext', 'TargetUnit'],
-                             right_on=['Flowable', 'Context', 'Unit'])
-
-    # Clean up the mappings
-    lcia_mappings = lcia_mappings.drop(columns=['Flowable', 'Context',
-                                                'Unit', 'Note', 'Map method', 'Preferred'])
-    lcia_mappings = lcia_mappings.rename(columns={'Flow UUID': 'TargetFlowUUID'})
-
-    # Add LCIA name and missing fields
-    lcia_mappings['SourceListName'] = lcia_name
-    lcia_mappings['ConversionFactor'] = 1
-    lcia_mappings['SourceFlowUUID'] = None
-    len(lcia_mappings)
-
-    # Reorder the mappings
-    flowmapping_order = ['SourceListName',
-                         'SourceFlowName',
-                         'SourceFlowUUID',
-                         'SourceFlowContext',
-                         'SourceUnit',
-                         'MatchCondition',
-                         'ConversionFactor',
-                         'TargetFlowName',
-                         'TargetFlowUUID',
-                         'TargetFlowContext',
-                         'TargetUnit',
-                         'Mapper',
-                         'Verifier',
-                         'LastUpdated']
-    lcia_mappings = lcia_mappings[flowmapping_order]
-    # Write them to a csv
-    lcia_mappings.to_csv(flowmappingpath + lcia_name + '.csv', index=False)