A common challenge when it comes to web scraping JSON data is extracting specific data fields from nested JSON datasets which might be unpredictable. For this, recursive dictionary key selection can be used through tools like nested-lookup (pip install nested-lookup):
from nested_lookup import nested_lookup
data = {
"props-23341s": {
"information_key_23411": {
"data": {
"phone": "+1 555 555 5555",
}
}
}
}
print(nested_lookup("phone", data)[0])
"+1 555 555 5555"
nested-lookup is a Python native package for recursive dictionary key lookup or even modification. Though, it's great in web scraping for large JSON Dataset parsing.
We're taking yet another look at real estate websites. This time we're going down under! Realtestate.com.au is the biggest real estate portal in Australia and let's take a look at how to scrape it.
Immowelt.de is a major real estate website in Germany and it's suprisingly easy to scrape. In this tutorial, we'll be using Python and hidden web data scraping technique to scrape real estate property data.
For this scrape guide we'll be taking a look at another real estate website in Switzerland - Homegate. For this we'll be using hidden web data scraping and JSON parsing.
