diff --git a/R/bfs_get_sse_data.R b/R/bfs_get_sse_data.R
index f174f6f..138627b 100644
--- a/R/bfs_get_sse_data.R
+++ b/R/bfs_get_sse_data.R
@@ -122,7 +122,7 @@ bfs_get_sse_data <-
     # Get observation names instead of codes if specified
     if (variable_value_type == "text") {
       dim_df <- dim_df %>% 
-        dplyr::mutate(dim_value = dplyr::coalesce(.data$valueTexts, .data$dim_value))
+        dplyr::mutate(dim_value = dplyr::coalesce(.data$valueText, .data$dim_value))
     }
     
     # Get dimension names instead of codes if specified
diff --git a/R/bfs_get_sse_metadata.R b/R/bfs_get_sse_metadata.R
index 8cf7226..3ffbab9 100644
--- a/R/bfs_get_sse_metadata.R
+++ b/R/bfs_get_sse_metadata.R
@@ -103,7 +103,7 @@ bfs_get_sse_metadata <- function(number_bfs, language = "de") {
     dplyr::left_join(dim_info, by = c("codelist_id" = "dimension_id")) %>% 
     dplyr::left_join(all_codes, by = c("codelist_ref" = "codelist_id", "code")) %>% 
     dplyr::select(code = "codelist_id", text = "codelist_text", 
-                  value = "code", valueTexts = "label", 
+                  value = "code", valueText = "label", 
                   position_dimension = "position") %>% 
     dplyr::distinct()
   
diff --git a/README.Rmd b/README.Rmd
index cd9a768..dcd69e7 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -50,7 +50,7 @@ library(BFS)
 
 ## Access Swiss Stats Exporer API (NEW)
 
-Two new functions are currently tested to access the new [Swiss Stats Explorer API](https://stats.swiss/).
+Two new functions are currently tested to access the new [Swiss Stats Explorer API](https://stats.swiss/) (SSE).
 
 These functions are only accessible when using the development version of this package on GitHub.
 
@@ -59,25 +59,37 @@ These functions are only accessible when using the development version of this p
 devtools::install_github("lgnbhl/BFS")
 ```
 
-Access a Swiss Stats Explorer dataset by BFS number using the new `bfs_get_sse_data()` function.
+To get data from SSE you first create a query using the metadata codelist from SSE using the `bfs_get_sse_metadata()` function. First get the codelist of a BFS dataset:
+```{r}
+codelist <- bfs_get_sse_metadata("DF_LWZ_1", language = "en")
+
+codelist
+```
+
+Then filter the codelist to build your query:
+```{r}
+querydat <- codelist %>% 
+  dplyr::filter((code == "GR_KT_GDE" & valueText %in% c("Aarau", "Olten")) |
+                  (code == "WOHN_ANZAHL" & valueText == "Total") |
+                  (code == "LEERWOHN_TYP" & valueText == "Vacant dwelling for rent") |
+                  (code == "MEASURE_DIMENSION" & valueText == "Value"))
+query <- tapply(querydat$value, querydat$code, c)
+
+query
+```
+
+This query can be used in the new `bfs_get_sse_data()` function to import the data.
 
 ```{r}
 bfs_get_sse_data(
-  number_bfs = "DF_PASTA_552_MONTHLY", 
+  number_bfs = "DF_LWZ_1", 
   language = "en", 
-  query =  list("FREQ" = "M", "ACCOMMODATION_TYPE" = c("552001"), 
-                "COUNTRY_ORIGIN" = c("CH", "AUSL")),
+  query =  query,
   start_period = "2020",
   end_period = "2023"
 )
 ```
 
-You can also access the Swiss Stats Explorer metadata with the following function:
-
-```{r}
-bfs_get_sse_metadata("DF_SSV_POL_LEG", language = "de")
-```
-
 ### Get the data catalog
 
 Before downloading a BFS dataset, you need to get its related BFS number (FSO number) in the [official data catalog](https://www.bfs.admin.ch/bfs/en/home/statistics/catalogue.html). You can search in the catalog directly from R using the `bfs_get_catalog_data()` function in any language ("de", "fr", "it" or "en"):
diff --git a/man/BFS-package.Rd b/man/BFS-package.Rd
index f4cb455..02515a5 100644
--- a/man/BFS-package.Rd
+++ b/man/BFS-package.Rd
@@ -24,6 +24,7 @@ Useful links:
 
 Other contributors:
 \itemize{
+  \item Marius Hodel (\href{https://orcid.org/0000-0001-8789-506X}{ORCID}) [contributor]
   \item Janosch Brenzel-Weiss [contributor]
   \item Joao Martins [contributor]
   \item Philipp Baumann \email{baumann-philipp@protonmail.com} (\href{https://orcid.org/0000-0002-3194-8975}{ORCID}) [contributor]