BUG: json_normalize crashes when len(record_path)==1 and non-leaf node of nested meta path is None
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [X] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd
j = {'a': 'foo', 'b': [1, 2], 'c': None}
pd.json_normalize(j, record_path='b', meta=['a', ['c', 'e']], errors="ignore")

>>>
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 504, in _json_normalize
    _recursive_extract(data, record_path, {}, level=0)
  File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 492, in _recursive_extract
    meta_val = _pull_field(obj, val[level:])
  File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 388, in _pull_field
    result = result[field]
```


### Issue Description

When calling json_normalize with:

- a record path length of one (above succeed with longer record path)
- a nested metadata field where a non-leaf node is None
- errors="ignore"

The parsing crashes with a TypeError.

The error happens on line 388 of _normalize.py.

### Expected Behavior

The missing nested metadata columns are filled with NaNs.

### Installed Versions

INSTALLED VERSIONS
------------------
commit           : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5
python           : 3.9.7.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.14.14-arch1-1
Version          : #1 SMP PREEMPT Wed, 20 Oct 2021 21:35:18 +0000
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.4
numpy            : 1.20.3
pytz             : 2021.3
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 41.6.0
Cython           : 0.29.24
pytest           : 6.2.5
hypothesis       : None
sphinx           : 4.2.0
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.6.3
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 3.0.2
IPython          : 7.19.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : 1.4.23
tables           : None
tabulate         : None
xarray           : None
xlrd             : 2.0.1
xlwt             : None
numba            : 0.54.1

