This low-level function returns cell data in a tibble with one row per cell.
This tibble has integer variables `row`

and `col`

(referring to location
with the Google Sheet), an A1-style reference `loc`

, and a `cell`

list-column. The flagship function `read_sheet()`

, a.k.a. `range_read()`

, is
what most users are looking for, rather than `range_read_cells()`

.
`read_sheet()`

is basically `range_read_cells()`

(this function), followed by
`spread_sheet()`

, which looks after reshaping and column typing. But if you
really want raw cell data from the API, `range_read_cells()`

is for you!

## Usage

```
range_read_cells(
ss,
sheet = NULL,
range = NULL,
skip = 0,
n_max = Inf,
cell_data = c("default", "full"),
discard_empty = TRUE
)
```

## Arguments

- ss
Something that identifies a Google Sheet:

its file id as a string or

`drive_id`

a URL from which we can recover the id

a one-row

`dribble`

, which is how googledrive represents Drive filesan instance of

`googlesheets4_spreadsheet`

, which is what`gs4_get()`

returns

Processed through

`as_sheets_id()`

.- sheet
Sheet to read, in the sense of "worksheet" or "tab". You can identify a sheet by name, with a string, or by position, with a number. Ignored if the sheet is specified via

`range`

. If neither argument specifies the sheet, defaults to the first visible sheet.- range
A cell range to read from. If

`NULL`

, all non-empty cells are read. Otherwise specify`range`

as described in Sheets A1 notation or using the helpers documented in cell-specification. Sheets uses fairly standard spreadsheet range notation, although a bit different from Excel. Examples of valid ranges:`"Sheet1!A1:B2"`

,`"Sheet1!A:A"`

,`"Sheet1!1:2"`

,`"Sheet1!A5:A"`

,`"A1:B2"`

,`"Sheet1"`

. Interpreted strictly, even if the range forces the inclusion of leading, trailing, or embedded empty rows or columns. Takes precedence over`skip`

,`n_max`

and`sheet`

. Note`range`

can be a named range, like`"sales_data"`

, without any cell reference.- skip
Minimum number of rows to skip before reading anything, be it column names or data. Leading empty rows are automatically skipped, so this is a lower bound. Ignored if

`range`

is given.- n_max
Maximum number of data rows to parse into the returned tibble. Trailing empty rows are automatically skipped, so this is an upper bound on the number of rows in the result. Ignored if

`range`

is given.`n_max`

is imposed locally, after reading all non-empty cells, so, if speed is an issue, it is better to use`range`

.- cell_data
How much detail to get for each cell.

`"default"`

retrieves the fields actually used when googlesheets4 guesses or imposes cell and column types.`"full"`

retrieves all fields in the`CellData`

schema. The main differences relate to cell formatting.- discard_empty
Whether to discard cells that have no data. Literally, we check for an

`effectiveValue`

, which is one of the fields in the`CellData`

schema.

## Examples

```
range_read_cells(gs4_example("deaths"), range = "arts_data")
#> ✔ Reading from deaths.
#> ✔ Range arts_data.
#> # A tibble: 66 × 4
#> row col loc cell
#> <int> <int> <chr> <list>
#> 1 5 1 A5 <CELL_TEX>
#> 2 5 2 B5 <CELL_TEX>
#> 3 5 3 C5 <CELL_TEX>
#> 4 5 4 D5 <CELL_TEX>
#> 5 5 5 E5 <CELL_TEX>
#> 6 5 6 F5 <CELL_TEX>
#> 7 6 1 A6 <CELL_TEX>
#> 8 6 2 B6 <CELL_TEX>
#> 9 6 3 C6 <CELL_NUM>
#> 10 6 4 D6 <CELL_LOG>
#> # ℹ 56 more rows
# if you want detailed and exhaustive cell data, do this
range_read_cells(
gs4_example("formulas-and-formats"),
cell_data = "full",
discard_empty = FALSE
)
#> ✔ Reading from formulas-and-formats.
#> ✔ Range Sheet1.
#> # A tibble: 678 × 4
#> row col loc cell
#> <int> <int> <chr> <list>
#> 1 1 1 A1 <CELL_TEX>
#> 2 1 2 B1 <CELL_TEX>
#> 3 1 3 C1 <CELL_TEX>
#> 4 1 4 D1 <CELL_TEX>
#> 5 1 5 E1 <CELL_TEX>
#> 6 1 6 F1 <CELL_TEX>
#> 7 2 1 A2 <CELL_NUM>
#> 8 2 2 B2 <CELL_NUM>
#> 9 2 3 C2 <CELL_NUM>
#> 10 2 4 D2 <CELL_TEX>
#> # ℹ 668 more rows
```