json_normalize in 1.0.0 with meta path specified - expects iterable
#### Code Sample, a copy-pastable example if possible

```python
import json
from pandas.io.json import json_normalize

the_json = """                                                                  
[{"id": 99,                                                                     
  "data": [{"one": 1, "two": 2}]                                                
}]                                                                              
"""

print(json_normalize(json.loads(the_json),
                     record_path=['data'], meta=['id']))
```
#### Problem description

Through 0.25.3, this program generates a DataFrame with one row.  In 1.0.0 it fails with an exception:

```
Traceback (most recent call last):
  File "foo.py", line 11, in <module>
    record_path=['data'], meta=['id']))
  File "/home/dataczar/venvs/test/lib/python3.7/site-packages/pandas/util/_decorators.py", line 66, in wrapper
    return alternative(*args, **kwargs)
  File "/home/dataczar/venvs/test/lib/python3.7/site-packages/pandas/io/json/_normalize.py", line 327, in _json_normalize
    _recursive_extract(data, record_path, {}, level=0)
  File "/home/dataczar/venvs/test/lib/python3.7/site-packages/pandas/io/json/_normalize.py", line 314, in _recursive_extract
    meta_val = _pull_field(obj, val[level:])
  File "/home/dataczar/venvs/test/lib/python3.7/site-packages/pandas/io/json/_normalize.py", line 246, in _pull_field
    f"{js} has non iterable value {result} for path {spec}. "
TypeError: {'id': 99, 'data': [{'one': 1, 'two': 2}]} has non iterable value 99 for path ['id']. Must be iterable or null.
```

I don't see any documentation changes that suggest a backwards-incompatible change.  All my calls to `json_normalize` that don't use `meta` function as before.


#### Expected Output

Through 0.25.3, the output was:

```
   one  two  id
0    1    2  99
```


#### Output of ``pd.show_versions()``

From my virtualenv with pandas 1.0.0:

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.2.0-042stab120.16
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_GB.UTF-8
LOCALE           : en_GB.UTF-8

pandas           : 1.0.0
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 19.0.3
setuptools       : 40.8.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.5.0
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.11.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.5.0
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : 1.3.13
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None
</details>

From my virtualenv with 0.25.x:

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.2.0-042stab120.16
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_GB.UTF-8
LOCALE           : en_GB.UTF-8

pandas           : 0.25.0
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 19.0.3
setuptools       : 40.8.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.1
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.7.0
pandas_datareader: None
bs4              : 4.8.0
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.1
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
s3fs             : None
scipy            : None
sqlalchemy       : 1.3.7
tables           : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
</details>
