Modern Javascript web frameworks often embed the data used to render each webpage in the HTML. This means an easy way of extracting data is capturing the string representation of the object with a pushdown automoton and then parsing it. Python's inbuilt json.loads is effective, but won't handle very dynamic Javascript, but demjson will (another, much faster alternative is Chompjs.

The problem shows up when using json.loads as the following obscure error:

json.decoder.JSONDecodeError: Expecing value: line N column M (char X)

Looking at the character in my case looking near the character I see that it is a JavaScript undefined, which is not valid in JSON.

{"key": undefined, ...

However it turns out the demjson library handles this well using demjson.decode(text). It represents undefined with a special demjson.undefined class. Because this isn't serializable I need to convert it to something else; I can walk the dictionary to turn it into a Python None.

def undefined_to_none(dj):
if isinstance(dj, dict):
return {k: undefined_to_none(v) for k, v in dj.items()}
if isinstance(dj, list):
return [undefined_to_none(k) for k in dj]
elif dj == demjson.undefined:
return None
else:
return dj

Using demjson and converting undefined to None works well, but it seems to run about 20 times slower than json.loads. So I'll try a strategy of first using json.loads and falling back to demjson when necessary.

try:
data = undefined_to_none(data)
An alternative approach would be to extend the automoton that extracts the object to replace undefined, and then just parse with json.loads. I'm not sure whether there are other types of non-JSON objects demjson can parse too.