diff --git a/etl/src/api/main.py b/etl/src/api/main.py
index cc26adf..614676c 100644
--- a/etl/src/api/main.py
+++ b/etl/src/api/main.py
@@ -1,6 +1,7 @@
 import data
 import polars as pl
 from data import etl_property_capacities as etl_pc
+from data import etl_property_capacities_monthly as etl_pcm
 from data import etl_region_capacities as etl_rc
 from data import etl_region_capacities_comparison as etl_rcc
 from fastapi import FastAPI, Response
@@ -42,6 +43,11 @@ def property_capacities_data(id: int):
 	capacities = etl_pc.property_capacities(id)
 	return capacities
 
+@app.get("/property/{id}/capacities/monthly/{scrapeDate}")
+def property_capacities_data(id: int, scrapeDate: str):
+	capacities = etl_pcm.property_capacities_monthly(id, scrapeDate)
+	return capacities
+
 @app.get("/property/{id}/base")
 def property_base_data(id: int):
 	return d.property_base_data(id).pl().to_dicts()
diff --git a/etl/src/data/database.py b/etl/src/data/database.py
index 8cabbca..7aa3e0b 100644
--- a/etl/src/data/database.py
+++ b/etl/src/data/database.py
@@ -334,6 +334,23 @@ class Database:
 				created_at
 		""")
 
+	def extractions_propId_scrapeDate(self, property_id: int, scrape_date: str):
+		return self.connection.sql(f"""
+			SELECT
+				JSON_EXTRACT(body, '$.content.days') as calendar,
+				created_at 
+			FROM 
+				consultancy_d.extractions
+			WHERE
+				type == 'calendar' AND
+				property_id = {property_id} AND
+				calendar NOT NULL AND
+				created_at >= '2024-04-16'
+			ORDER BY
+				created_at
+			LIMIT 1
+		""")
+
 	# Anzahl der extrahierten properties pro Exktraktionsvorgang
 	def properties_per_extraction(self, property_id):
 		return self.connection.sql("""
diff --git a/etl/src/data/etl_property_capacities_monthly.py b/etl/src/data/etl_property_capacities_monthly.py
new file mode 100644
index 0000000..1fa78d6
--- /dev/null
+++ b/etl/src/data/etl_property_capacities_monthly.py
@@ -0,0 +1,24 @@
+from io import StringIO
+
+import polars as pl
+
+import data
+
+d = data.load()
+
+def property_capacities_monthly(id: int, scrapeDate: str):
+	extractions = d.extractions_propId_scrapeDate(id, scrapeDate).pl()
+	df_calendar = pl.DataFrame()
+
+	for row in extractions.rows(named=True):
+		scrapeDate = row['created_at']
+		df_calendar = pl.read_json(StringIO(row['calendar']))
+		columnTitles = df_calendar.columns
+		df_calendar = df_calendar.transpose()
+		df_calendar = df_calendar.with_columns(pl.Series(name="dates", values=columnTitles))
+		df_calendar = df_calendar.with_columns((pl.col("dates").str.to_date()))
+		df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%b") + " " + (pl.col("dates").dt.strftime("%Y"))))
+
+	df_calendar = df_calendar.group_by("dates").agg(pl.col("column_0").sum())
+	result = {"scraping-date": scrapeDate, "months": df_calendar['dates'].to_list(), 'capacities': df_calendar['column_0'].to_list()}
+	return result
\ No newline at end of file