Utah elections

What it covers

The Utah scraper returns election results from electionresults.utah.gov. It covers all elections available on the site — generals, primaries, and special elections — currently from 2023 to 2025.

Results are available at three levels: statewide candidate totals, county breakdowns, and precinct-level results. Precinct data is obtained by navigating each county page and following “View results by precinct” links for each contest.

Note: The Utah elections site uses the same Angular/PrimeNG framework as the Georgia SOS site. All scraping uses a headless Chromium browser via Playwright. County and precinct scraping is parallelised across up to max_workers browsers (default 4). Utah has 29 counties.

Arguments

Argument	Default	Description
`state`	—	`"UT"`, `"utah"`, or `"Utah"`
`year_from`	`NULL`	Start year, inclusive; `NULL` = no lower bound
`year_to`	`NULL`	End year, inclusive; `NULL` = no upper bound
`level`	`"all"`	Constituency level of returned results. `"all"` — statewide + county + precinct; `"state"` — state-level constituency (statewide totals) only (fastest); `"county"` — county-level constituency only; `"precinct"` — precinct-level constituency only
`max_workers`	`4L`	Parallel Chromium browsers for county and precinct scraping

Examples

Statewide + county results for a single year

res <- scrape_elections(state = "UT", year_from = 2024, year_to = 2024)

# Statewide candidate totals
res$state %>%
  select(election_name, office, candidate, party, votes, vote_pct)

# County-level breakdown
res$county %>%
  select(county, office, candidate, party, votes, vote_pct) %>%
  arrange(county, office, desc(votes))

Statewide totals only (faster — skips county scraping)

state_df <- scrape_elections(
  state     = "UT",
  year_from = 2024,
  year_to   = 2024,
  level     = "state"
)

state_df %>%
  select(election_name, office, candidate, party, votes, vote_pct)

All available years

res <- scrape_elections(
  state       = "UT",
  year_from   = 2023,
  year_to     = 2025,
  level       = "state"
)

Precinct-level results

# level = "all" includes precinct data automatically
res <- scrape_elections(state = "UT", year_from = 2024, year_to = 2024)
res$precinct %>%
  filter(office == "President of the United States", county == "Salt Lake") %>%
  select(precinct, candidate, party, votes, vote_pct) %>%
  arrange(precinct, desc(votes))

# Precinct only (skips statewide + county scraping)
precinct_df <- scrape_elections(
  state     = "UT",
  year_from = 2024,
  year_to   = 2024,
  level     = "precinct"
)

Filter to a specific county

res <- scrape_elections(state = "UT", year_from = 2024, year_to = 2024)

res$county %>%
  filter(county == "Salt Lake") %>%
  select(election_name, office, candidate, party, votes, vote_pct) %>%
  arrange(office, desc(votes))

Output columns

`$state` (when `level = "all"` or `"state"`)

Column	Description
`state`	State abbreviation (`"UT"`)
`election_name`	Human-readable election name
`election_type`	Election type (e.g. `"General"`, `"Primary"`)
`election_year`	Calendar year of the election
`election_date`	Date string from the page header
`office_level`	`"Federal"`, `"State"`, or `"Local"`
`office`	Office name
`district`	District identifier; `NA` when not applicable
`candidate`	Candidate name
`party`	Party abbreviation
`votes`	Vote total
`vote_pct`	Percentage of votes within the contest
`winner`	`TRUE` if the candidate won the statewide contest
`url`	URL of the election results page scraped

`$county` (when `level = "all"` or `"county"`)

Column	Description
`state`	State abbreviation (`"UT"`)
`election_name`	Human-readable election name
`election_type`	Election type (e.g. `"General"`, `"Primary"`)
`election_year`	Calendar year of the election
`election_date`	Date string from the page header
`office_level`	`"Federal"`, `"State"`, or `"Local"`
`office`	Office name
`district`	District identifier; `NA` when not applicable
`county`	County name
`candidate`	Candidate name
`party`	Party abbreviation
`votes`	County-level vote total
`vote_pct`	Percentage of votes within the contest for this county
`county_winner`	`TRUE` if the candidate won within this county
`url`	URL of the election results page scraped

`$precinct` (when `level = "all"` or `"precinct"`)

Column	Description
`state`	State abbreviation (`"UT"`)
`election_name`	Human-readable election name
`election_type`	Election type (e.g. `"General"`, `"Primary"`)
`election_year`	Calendar year of the election
`election_date`	Date string from the page header
`office_level`	`"Federal"`, `"State"`, or `"Local"`
`office`	Office name
`district`	District identifier; `NA` when not applicable
`county`	County name
`precinct`	Precinct name
`candidate`	Candidate name
`party`	Party abbreviation
`votes`	Precinct-level vote total
`vote_pct`	Percentage of votes within the contest for this precinct
`precinct_winner`	`TRUE` if the candidate won within this precinct
`url`	URL of the precinct results page scraped

Performance notes

level = "state" is much faster. County scraping opens up to max_workers parallel Chromium browsers across Utah’s 29 counties.
Precinct scraping is significantly slower. It navigates each county page, fetches one ballot-item page per contest (in parallel), and then scrapes each individual precinct page. Use level = "county" or level = "state" when precinct data is not needed.
Virtual scroll. The site uses Angular virtual scrolling; the scraper automatically scrolls to load all panels before parsing.
Limited history. The Utah elections site currently lists elections from 2023 onward. Earlier data is not available through this scraper.