diff --git a/README.md b/README.md
index 1ee6921..4def7cd 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,8 @@
 # Dashboard-metrics-extractor
 Python scripts that extract metric names from Grafana dashboards, and time series from prometheus.
+The script will extract the metric names from all  grafana dashboards and provide a regex that can be used to with prometheus filter or telegraf fieldpass. 
+When extracting metrics from grafana endpoint, the script will also count the total time series in the provided prometheus database (within interval)
+and count the used timeseries of the extracted dashboard metrics (within interval).
 
 ## How to use
 
@@ -12,7 +15,7 @@ You can start the dashboard metrics extractor either by running it as a python s
  Run the following command in the terminal:
 
 ```bash 
-$ curl -L -O https://github.com/logzio/dashboard-metrics-extractor/releases/download/V0.1.0/extract \
+$ curl -L -O https://github.com/logzio/dashboard-metrics-extractor/releases/download/V0.1.1/extract \
        && sudo chmod 755 extract \
        && ./extract
 ```
diff --git a/extract.py b/extract.py
index 3ad0b90..98540f8 100644
--- a/extract.py
+++ b/extract.py
@@ -4,7 +4,10 @@
 import metrics_dashboard_extractor
 import timeseries_extractor
 
+SCRIPT_VERSION = "0.1.1"
+
 if __name__ == '__main__':
+    print(f"*** Running script version {SCRIPT_VERSION} ***")
     menu_choice = settings_reader.read_menu_input()
     if menu_choice == 1:
         config = settings_reader.get_config()
diff --git a/timeseries_extractor.py b/timeseries_extractor.py
index 060169b..1698319 100644
--- a/timeseries_extractor.py
+++ b/timeseries_extractor.py
@@ -6,7 +6,8 @@
 
 logger = logging.getLogger()
 
-PROMETHEUS_API_QUERY_PREFIX = '/api/v1/query?query='
+PROMETHEUS_BASE_QUERY_URL='/api/v1/query'
+PROMETHEUS_API_QUERY_PREFIX = '?query='
 PROMETHEUS_TOTAL_TIMESERIES_COUNT_METRIC = 'prometheus_tsdb_head_series['
 PROMETHEUS_LAST_OVER_TIME_QUERY_PREFIX = 'last_over_time('
 PROMETHEUS_COUNT_FUNCTION_PREFIX = 'count('
@@ -60,15 +61,17 @@ def extract_timeseries_interval(prometheus_config):
 
 
 def _get_used_timeseries_count(endpoint, used_timeseries_interval, metrics):
-    query_url = endpoint + PROMETHEUS_API_QUERY_PREFIX + PROMETHEUS_COUNT_FUNCTION_PREFIX + PROMETHEUS_LAST_OVER_TIME_QUERY_PREFIX + PROMETHEUS_METRIC_NAME_PREFIX
-    metrics_regex = ''
+    query_url = endpoint + PROMETHEUS_BASE_QUERY_URL
+    metrics_regex = PROMETHEUS_COUNT_FUNCTION_PREFIX + PROMETHEUS_LAST_OVER_TIME_QUERY_PREFIX + PROMETHEUS_METRIC_NAME_PREFIX
     for i, metric in enumerate(metrics):
         metrics_regex += metric
         if i < len(metrics) - 1:
             metrics_regex += '|'
-    query_url += metrics_regex + PROMETHEUS_METRIC_NAME_CLOSING_PERENTHESIS + f'[{used_timeseries_interval}])' + CLOSING_PERENTHESIS
+    metrics_regex += PROMETHEUS_METRIC_NAME_CLOSING_PERENTHESIS + f'[{used_timeseries_interval}])' + CLOSING_PERENTHESIS
+    post_query = {'query': metrics_regex}
     logger.info(f"Prometheus used timeseries count query url: {query_url}")
-    response = requests.get(query_url)
+    logger.info(f"Prometheus used timeseries count query body: {metrics_regex}")
+    response = requests.post(query_url, data=post_query)
     if response.status_code == 200:
         response_json = json.loads(response.content)
         try:
@@ -83,7 +86,7 @@ def _get_used_timeseries_count(endpoint, used_timeseries_interval, metrics):
 
 
 def _get_total_timeseries_count(endpoint, total_count_timeseries_interval):
-    total_timeseries_count_url = endpoint + PROMETHEUS_API_QUERY_PREFIX + PROMETHEUS_LAST_OVER_TIME_QUERY_PREFIX + PROMETHEUS_TOTAL_TIMESERIES_COUNT_METRIC + total_count_timeseries_interval + PROMETHEUS_INTERVAL_TIME_FUNCTION_SUFFIX
+    total_timeseries_count_url = endpoint +PROMETHEUS_BASE_QUERY_URL+ PROMETHEUS_API_QUERY_PREFIX + PROMETHEUS_LAST_OVER_TIME_QUERY_PREFIX + PROMETHEUS_TOTAL_TIMESERIES_COUNT_METRIC + total_count_timeseries_interval + PROMETHEUS_INTERVAL_TIME_FUNCTION_SUFFIX
     logger.info(f"Prometheus total timeseries count query url: {total_timeseries_count_url}")
     try:
         response = requests.get(