Save pdf/take screenshot of a big page.

[alearrigo]

Hi,
is there a way to save a pdf of a page with multiple rows that requires scrolling and doesn't fit all at once on screen?
Example app below: When I press the "save PDF" button only a part of the app get screenshotted.

library(shiny)
library(bslib)
library(dplyr)
library(echarts4r)
library(DT)
library(capture)

# Generate sample data
set.seed(123)
data <- expand.grid(
  year = 2018:2022,
  region = c("North", "South", "East", "West"),
  product = c("A", "B", "C")
)
data$sales <- round(runif(nrow(data), 1000, 10000))
data$profit <- round(data$sales * runif(nrow(data), 0.1, 0.3))

ui <- page_sidebar(
  title = "Sales Dashboard",
  sidebar = sidebar(
    selectInput("year", "Select Year", choices = unique(data$year), selected = max(data$year)),
    selectInput("region", "Select Region", choices = c("All", unique(data$region)), selected = "All")
  ),
  page_fluid(
  layout_columns(
    card(
      card_header("Total Sales by Region"),
      echarts4rOutput("sales_by_region")
    ),
    card(
      card_header("Product Sales Distribution"),
      echarts4rOutput("product_sales_pie")
    )
  ),
  layout_columns(
    card(
      card_header("Sales Trend"),
      echarts4rOutput("sales_trend")
    ),
    card(
      card_header("Top Products"),
      DTOutput("top_products_table")
    )
  ),
  card(
    card_header("Sales vs Profit Scatter"),
    echarts4rOutput("sales_profit_scatter")
  ),
layout_columns(
  card(
    capture_pdf(
      selector = "body",
      filename = "all-page.pdf",
      icon("camera"), "Save in pdf"
    )
    ),
  
  )
)
)

server <- function(input, output, session) {
  
  filtered_data <- reactive({
    df <- data %>% filter(year == input$year)
    if (input$region != "All") {
      df <- df %>% filter(region == input$region)
    }
    df
  })
  
  output$sales_by_region <- renderEcharts4r({
    filtered_data() %>%
      group_by(region) %>%
      summarise(total_sales = sum(sales)) %>%
      e_charts(region) %>%
      e_bar(total_sales) %>%
      e_title("Total Sales by Region")
  })
  
  output$product_sales_pie <- renderEcharts4r({
    filtered_data() %>%
      group_by(product) %>%
      summarise(total_sales = sum(sales)) %>%
      e_charts(product) %>%
      e_pie(total_sales) %>%
      e_title("Product Sales Distribution")
  })
  
  output$sales_trend <- renderEcharts4r({
    data %>%
      group_by(year) %>%
      summarise(total_sales = sum(sales)) %>%
      e_charts(year) %>%
      e_line(total_sales) %>%
      e_title("Sales Trend Over Years")
  })
  
  output$top_products_table <- renderDT({
    filtered_data() %>%
      group_by(product) %>%
      summarise(total_sales = sum(sales)) %>%
      arrange(desc(total_sales)) %>%
      datatable(options = list(pageLength = 5))
  })
  
  output$sales_profit_scatter <- renderEcharts4r({
    filtered_data() %>%
      e_charts(sales) %>%
      e_scatter(profit, sales) %>%
      e_title("Sales vs Profit") %>%
      e_x_axis(name = "Sales") %>%
      e_y_axis(name = "Profit")
  })

}

shinyApp(ui, server)