I’m trying to get data from an interactive chart on a webpage. The chart shows commute times for different cities. The problem is the data only shows up when you hover over the chart.
Here’s what I’ve done so far:
import time
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
from selenium.webdriver.common.action_chains import ActionChains
browser = webdriver.Firefox()
browser.get('https://example.com/chart-page')
wait = WebDriverWait(browser, 10)
chart = wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'chart-container')))
browser.execute_script('arguments[0].scrollIntoView(true);', chart)
time.sleep(2)
hover = ActionChains(browser).move_to_element(chart)
hover.perform()
print(chart.text)
browser.quit()
This code finds the chart and hovers over it. But I can’t figure out how to get the actual data points. I need to get the date and commute time for each city. Any ideas on how to do this? The data is in the chart but only shows up when you hover over specific points.
I’ve encountered a similar challenge when scraping data from interactive charts. Here’s what worked for me:
Instead of trying to extract the data directly from the chart, I found it more reliable to look for the underlying data source. Often, these charts are populated with data from a JavaScript object or a hidden HTML element.
Try inspecting the page source and searching for JSON data or a JavaScript variable that might contain the chart data. You can use browser developer tools to examine network requests - sometimes the data is loaded separately.
If you can’t find the raw data, you might need to simulate mouse movements across the entire chart area. You could create a grid of coordinates and use ActionChains to move the cursor to each point, then capture the tooltip content.
Alternatively, check if the chart library has any built-in methods for data export. Some charting libraries offer functions to retrieve the underlying dataset, which you might be able to call using JavaScript execution in Selenium.
Remember, web scraping can be tricky and site-specific. What works on one site might not work on another, so be prepared to adapt your approach based on the specific implementation of the chart you’re targeting.
hey alex, i’ve run into this before. sometimes the chart data is hidden in the page source. try looking for a tag with JSON data or a variable assignment. u could use browser.execute_script() to grab it.
if that doesnt work, maybe try moving the mouse systematically across the chart and capturing the tooltips. its a bit hacky but might do the trick. good luck!
I’ve dealt with similar issues extracting data from interactive charts. One approach that’s worked for me is to intercept the network requests. Often, the chart data is loaded via an API call.
Use browser developer tools to monitor network traffic while the page loads. Look for any JSON responses that might contain the chart data. Once you identify the relevant request, you can replicate it in your Python script using the requests library.
If that doesn’t work, you might need to execute JavaScript to access the chart object directly. Many charting libraries store data in a JavaScript variable. You can use browser.execute_script() to run custom JS and extract this data.
As a last resort, you could try to parse the SVG elements of the chart. This is more complex but can work if the data is embedded in the chart’s DOM structure.
Remember, each site is different, so you may need to combine multiple techniques.