Python. How to extract all the data of nested dictionaries that share the same key:value pair?

Question

Python

I extract data about films from film search. Faced a problem with extracting actors. Here is a snippet of the resulting JSON:

"$Film:927495.releaseOptions":{"isImax":false,"is3d":false,"__typename":"ReleaseOptions"},
"Person:3061538":{"id":3061538," name":"Taron Egerton","originalName":"Taron Egerton","__typename":"Person"},
"$Film:927495.members({\\"limit\\":10,\\"role\ \":[\\"ACTOR\\",\\"CAMEO\\",\\"UNCREDITED\\"]}).items.0":{"person":{"type":"id", "generated":false,"id":"Person:3061538","typename":"Person"},"__typename":"
"$Film:927495.members({\\"limit\\":10,\\"role\\":[\\"ACTOR\\",\\"CAMEO\\",\\"UNCREDITED\\ "]}).items.1":{"person":{"type":"id","generated":false,"id":"Person:514","typename":"Person"}," __typename":"FilmCrewMember"},
"Person:10315":{"id":10315,"name":"Ben Mendelsohn","originalName":"Ben Mendelsohn","__typename":"Person"},
"$ Film:927495.members({\\"limit\\":10,\\"role\\":[\\"ACTOR\\",\\"CAMEO\\",\\"UNCREDITED\\"] }).items.2":{"person":{"type":"id","generated":false,"id":"Person:10315","typename":"Person"},"__typename":"FilmCrewMember"},
"Person:1188127":{"id":1188127,"name":"Eve Hewson","originalName":" Eve Hewson","__typename":"Person"}

How to get all data of dictionaries that have a common pair: __typename":"Person"?

Answer 1

Iterate through the elements of the first level through for i in dict, check the presence of the __typename key through dict1[i].keys() in it, if such a key exists, check its value.

import pprint
pprint.pprint (dict1)
for i in dict1:
    if '__typename' in dict1[i].keys():
        if dict1[i]['__typename']=='Person':
            print ('Match on: ',i)
            print (dict1[i])

If __typename: Person is in the elements of another level, the script needs to be redone, for example, first find out the maximum nesting of the element and then check for all levels