diff --git a/data-raw/case_death_rate_subset.R b/data-raw/case_death_rate_subset.R
index 2d6a92ebc..4bf416dbf 100644
--- a/data-raw/case_death_rate_subset.R
+++ b/data-raw/case_death_rate_subset.R
@@ -11,7 +11,7 @@ x <- covidcast(
   time_values = epirange(20201231, 20211231),
   geo_values = "*"
 ) %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, case_rate = value)
 
 y <- covidcast(
@@ -22,7 +22,7 @@ y <- covidcast(
   time_values = epirange(20201231, 20211231),
   geo_values = "*"
 ) %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, death_rate = value)
 
 case_death_rate_subset <- x %>%
diff --git a/musings/example-recipe.R b/musings/example-recipe.R
index e14852269..afe1beed0 100644
--- a/musings/example-recipe.R
+++ b/musings/example-recipe.R
@@ -12,7 +12,7 @@ x <- covidcast(
   time_values = epirange(20200301, 20211231),
   geo_values = "*"
 ) %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, case_rate = value)
 
 y <- covidcast(
@@ -23,7 +23,7 @@ y <- covidcast(
   time_values = epirange(20200301, 20211231),
   geo_values = "*"
 ) %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, death_rate = value)
 
 x <- x %>%
diff --git a/vignettes/preprocessing-and-models.Rmd b/vignettes/preprocessing-and-models.Rmd
index 544b86b20..d0a8667e5 100644
--- a/vignettes/preprocessing-and-models.Rmd
+++ b/vignettes/preprocessing-and-models.Rmd
@@ -68,7 +68,7 @@ x <- covidcast(
   geo_type = "state",
   time_values = epirange(20210604, 20211231),
   geo_values = "ca,fl,tx,ny,nj") %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, cases = value)
 
 y <- covidcast(
@@ -78,7 +78,7 @@ y <- covidcast(
   geo_type = "state",
   time_values = epirange(20210604, 20211231),
   geo_values = "ca,fl,tx,ny,nj") %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, deaths = value)
 
 counts_subset <- full_join(x, y, by = c("geo_value", "time_value")) %>%
@@ -249,7 +249,7 @@ behav_ind_mask <- covidcast(
   geo_type = "state",
   time_values = epirange(20210604, 20211231),
   geo_values = "ca,fl,tx,ny,nj")  %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, masking = value)
 
 behav_ind_distancing <- covidcast(
@@ -259,7 +259,7 @@ behav_ind_distancing <- covidcast(
   geo_type = "state",
   time_values = epirange(20210604, 20211231),
   geo_values = "ca,fl,tx,ny,nj")  %>%
-  fetch_tbl() %>%
+  fetch() %>%
   select(geo_value, time_value, distancing = value) 
 
 pop_dat <- state_census %>% select(abbr, pop)