It looks like this url, https://viabilita.autostrade.it/json/previsioni.json, will return the results in JSON format

Hi thx

can you also help me to understand how can extract the value for this website inside tbody tr, I don't know how to handle the id

#ID15762803 > td:nth-child(1) > a

https://alboonline.comune.genova.it/albopretorio/#/albo/140

thx

Francesco

This one (like the original) requests data from an API. When you use an HTML Reader/Extractor you get the webpage before the API call is made. All it returns is the JS code to make those calls - in other words, there is no data in the raw HTML.

To get the API calls, you need to open up Developer Tools and have a look at the network requests and figure out what call is return the data you need. In this case, the url that will return the data (in JSON) is:

https://alboonline.comune.genova.it/albopretorio/dispatcher/alboPretorioServlet/invoke

Hi,

sorry to bother you but I'not a programmer and I'm trying to understand but every website is different .....

here https://serviziweb.comune.avellino.it/kweb/ap/avellino?npage=0 I received the HTML with the data but I'm not able to extract the data

this my css div:nth-child(2)> div > div > div > div:nth-child(-n+10) > div > h3 > span ..but no results

thx for help

Francesco

Whilst you can pull information out of the HTML (and my preference in this instance would be using the HTML Table reader) it isn't pretty. I'd be reaching out the the local council (making an assumption here as I don't know Italian(?)) and asking if they have an API that can deliver this data.

It will make things a lot easier

Hey Francesco,

Yes, you can extract the info from the blue box on that page using a tool like rvest in R or BeautifulSoup in Python. You'll need to inspect the webpage and target the correct CSS selector for the blue box content.

For example, with rvest:

library(rvest) url <- "https://viabilita.autostrade.it/it/viabilita/previsioni" page <- read_html(url) blue_box_info <- page %>% html_nodes("your_css_selector") %>% html_text() print(blue_box_info)

If the page uses JavaScript to load content, you may need Selenium for dynamic scraping. Also, if you run into issues with scraping or get blocked, tools like Multilogin can help avoid detection by using browser fingerprinting.