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I am working on a data extraction task using R. The data is allocated in a power BI dashboard so it is very troublesome to get that. I found I solution here on SO:
Scrape website's Power BI dashboard using R
But I am not sure on how to navigate in my page to get the components and extract the tables. My code is next:
library(wdman)
library(RSelenium)
library(xml2)
library(selectr)
library(tidyverse)
library(rvest)
# using wdman to start a selenium server
remDr <- rsDriver(
port = 4445L,
browser = "firefox"
)
#remDr$open()
remDr <- remoteDriver(port = 4445L,browser = "firefox")
# open a new Tab on Chrome
remDr$open()
# navigate to the site you wish to analyze
report_url <- "https://app.powerbi.com/view?r=eyJrIjoiOGI5Yzg2MGYtZmNkNy00ZjA5LTlhYTYtZTJjNjg2NTY2YTlmIiwidCI6ImI1NDE0YTdiLTcwYTYtNGUyYi05Yzc0LTM1Yjk0MDkyMjk3MCJ9"
remDr$navigate(report_url)
# fetch the data
data_table <- read_html(remDr$getPageSource()[[1]]) %>%
querySelector("div.pivotTable")
Although the selenium process work, I do not know how to get my table:
The arrows in blue show the tables I want, then I need to move to other pages to extract the remaining tables. But I think if I can do for the first page, the other pages would be the same.
Many thanks!
597
asked Jan 18 '26 18:01
These tables are a bit tricky because the new rows only appear in the page source code once you scroll to activate them. My solution is a function that scrapes row by row and individually adds to the overall dataframes, scrolling if necessary. It takes as input the visual-container number of the Power BI table.
Here are solutions in R:
library(wdman)
library(RSelenium)
selServ <- selenium(
port = 4444L,
version = 'latest',
chromever = '103.0.5060.134', # set to available
)
remDr <- remoteDriver(
remoteServerAddr = 'localhost',
port = 4444L,
browserName = 'chrome'
)
scrape_powerbi_table <- function(container_number) {
table_xpath <- paste("//*[@id='pvExplorationHost']/div/div/exploration/div/explore-canvas/div/div[2]/div/div[2]/div[2]/visual-container-repeat/visual-container[",
container_number, "]/transform/div/div[3]/div/visual-modern", sep = "")
Sys.sleep(1)
try({scroll_button <- remDr$findElement("xpath", paste(table_xpath, "/div/div/div[2]/div[4]/div[2]", sep = ""))
remDr$mouseMoveToLocation(webElement = scroll_button)}, silent = TRUE)
col_names <- remDr$findElements("xpath", paste(table_xpath, "/div/div/div[2]/div[1]/div[2]/div[2]/div/div", sep = ""))
col_names <- vapply(col_names, function(x) stringr::str_split(x$getElementAttribute('innerHTML')[[1]], "<")[[1]][1], character(1))
df <- data.frame(matrix(ncol = length(col_names), nrow = 0))
colnames(df) <- col_names
more_rows_left <- TRUE
row_count <- 2
while (more_rows_left == TRUE) {
data <- remDr$findElements("xpath", paste(table_xpath, "/div/div/div[2]/div[1]/div[4]/div/div[@aria-rowindex='", row_count, "']/div", sep = ""))
current_row <- vapply(data, function(x) x$getElementAttribute('innerHTML')[[1]], character(1))
current_row <- current_row[2:length(current_row)]
if (length(current_row) == 0 | all(is.na(current_row))) {
tryCatch({for (i in seq(10)) scroll_button$click()
data <- remDr$findElements("xpath", paste(table_xpath, "/div/div/div[2]/div[1]/div[4]/div/div[@aria-rowindex='", row_count, "']/div", sep = ""))
current_row <- vapply(data, function(x) x$getElementAttribute('innerHTML')[[1]], character(1))
current_row <- current_row[2:length(current_row)]
}, error = function (e) break)
}
if (length(current_row) == 0 | all(is.na(current_row))) {break}
df[nrow(df) + 1,] <- current_row
row_count <- row_count + 1
}
df
}
remDr$open()
remDr$navigate("https://app.powerbi.com/view?r=eyJrIjoiOGI5Yzg2MGYtZmNkNy00ZjA5LTlhYTYtZTJjNjg2NTY2YTlmIiwidCI6ImI1NDE0YTdiLTcwYTYtNGUyYi05Yzc0LTM1Yjk0MDkyMjk3MCJ9")
Sys.sleep(15)
next_button <- remDr$findElement("xpath", "//*[@id='embedWrapperID']/div[2]/logo-bar/div/div/div/logo-bar-navigation/span/button[2]")
df1 <- scrape_powerbi_table(8)
remDr$mouseMoveToLocation(webElement = next_button)
next_button$click()
df2 <- scrape_powerbi_table(8)
df3 <- scrape_powerbi_table(9)
remDr$mouseMoveToLocation(webElement = next_button)
next_button$click()
next_button$click()
df4 <- scrape_powerbi_table(5)
df5 <- scrape_powerbi_table(7)
remDr$mouseMoveToLocation(webElement = next_button)
next_button$click()
df6 <- scrape_powerbi_table(9)
df7 <- scrape_powerbi_table(10)
remDr$mouseMoveToLocation(webElement = next_button)
next_button$click()
next_button$click()
df8 <- scrape_powerbi_table(2)
remDr$mouseMoveToLocation(webElement = next_button)
next_button$click()
df9 <- scrape_powerbi_table(5)
df10 <- scrape_powerbi_table(6)
# > df9
# Zona Provincia Total Establecimientos
# 1 ZONA 1 CARCHI 8
# 2 ZONA 1 ESMERALDAS 6
# 3 ZONA 1 IMBABURA 32
# 4 ZONA 1 SUCUMBIOS 27
# 5 ZONA 2 NAPO 9
# 6 ZONA 2 ORELLANA 30
# 7 ZONA 2 PICHINCHA 63
# 8 ZONA 3 CHIMBORAZO 56
# 9 ZONA 3 COTOPAXI 54
# 10 ZONA 3 PASTAZA 13
# 11 ZONA 3 TUNGURAHUA 122
# 12 ZONA 4 MANABI 127
# 13 ZONA 4 SANTO DOMINGO DE LOS TSACHILAS 49
# 14 ZONA 5 BOLIVAR 24
# 15 ZONA 5 GALAPAGOS 5
# 16 ZONA 5 GUAYAS 27
# 17 ZONA 5 LOS RIOS 53
# 18 ZONA 5 SANTA ELENA 18
# 19 ZONA 6 AZUAY 182
# 20 ZONA 6 CAÑAR 35
# 21 ZONA 6 MORONA SANTIAGO 23
# 22 ZONA 7 EL ORO 65
# 23 ZONA 7 LOJA 48
# 24 ZONA 7 ZAMORA CHINCHIPE 16
# 25 ZONA 8 GUAYAS 86
# 26 ZONA 9 PICHINCHA 309
And in Python:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
driver = webdriver.Chrome()
driver.get("https://app.powerbi.com/view?r=eyJrIjoiOGI5Yzg2MGYtZmNkNy00ZjA5LTlhYTYtZTJjNjg2NTY2YTlmIiwidCI6ImI1NDE0YTdiLTcwYTYtNGUyYi05Yzc0LTM1Yjk0MDkyMjk3MCJ9")
def scrape_powerbi_table(visual_container_number):
table_xpath = "//*[@id='pvExplorationHost']/div/div/exploration/div/explore-canvas/div/div[2]/div/div[2]/div[2]/visual-container-repeat/visual-container[" + str(visual_container_number) + "]/transform/div/div[3]/div/visual-modern"
scroll_button = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, table_xpath + "/div/div/div[2]/div[4]/div[2]")))
col_names = [i.text for i in driver.find_elements(By.XPATH, table_xpath + "/div/div/div[2]/div[1]/div[2]/div[2]/div/div")]
df = pd.DataFrame(columns = col_names)
more_rows_left = True
row_count = 2
while more_rows_left == True:
data = driver.find_elements(By.XPATH, table_xpath + "/div/div/div[2]/div[1]/div[4]/div/div[@aria-rowindex='" + str(row_count) + "']/div")
current_row = [i.get_attribute("innerHTML") for i in data][1:]
if not current_row:
try:
for i in range(10):
scroll_button.click()
data = driver.find_elements(By.XPATH, table_xpath + "/div/div/div[2]/div[1]/div[4]/div/div[@aria-rowindex='" + str(row_count) + "']/div")
current_row = [i.get_attribute("innerHTML") for i in data][1:]
except Exception:
break
if not current_row:
break
df.loc[len(df)] = current_row
row_count += 1
return df
next_button = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//*[@id='embedWrapperID']/div[2]/logo-bar/div/div/div/logo-bar-navigation/span/button[2]")))
df1 = scrape_powerbi_table(8)
next_button.click()
df2 = scrape_powerbi_table(8)
df3 = scrape_powerbi_table(9)
next_button.click()
next_button.click()
df4 = scrape_powerbi_table(5)
df5 = scrape_powerbi_table(7)
next_button.click()
df6 = scrape_powerbi_table(9)
df7 = scrape_powerbi_table(10)
next_button.click()
next_button.click()
df8 = scrape_powerbi_table(2)
next_button.click()
df9 = scrape_powerbi_table(5)
df10 = scrape_powerbi_table(6)
driver.quit()
Also, here are the ten files in csv format for your convenience.
https://mega.nz/folder/LtVDiCyQ#5iW1mkd1VVTmcPApeqfGFA
165
answered Jan 21 '26 08:01
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