Fixed read_json int overflow (#18905)

Author: WillAyd

doc/source/whatsnew/v0.23.0.txt

@@ -318,6 +318,7 @@ I/O
 - Bug in :func:`read_csv` where a ``MultiIndex`` with duplicate columns was not being mangled appropriately (:issue:`18062`)
 - Bug in :func:`read_sas` where a file with 0 variables gave an ``AttributeError`` incorrectly. Now it gives an ``EmptyDataError`` (:issue:`18184`)
 - Bug in :func:`DataFrame.to_latex()` where pairs of braces meant to serve as invisible placeholders were escaped (:issue:`18667`)
+- Bug in :func:`read_json` where large numeric values were causing an ``OverflowError`` (:issue:`18842`)
 -
 
 Plotting

pandas/io/json/json.py

@@ -724,7 +724,7 @@ def _try_convert_to_date(self, data):
         if new_data.dtype == 'object':
             try:
                 new_data = data.astype('int64')
-            except (TypeError, ValueError):
+            except (TypeError, ValueError, OverflowError):
                 pass
 
         # ignore numbers that are out of range

pandas/tests/io/json/test_pandas.py

@@ -1074,6 +1074,20 @@ def test_read_jsonl_unicode_chars(self):
                              columns=['a', 'b'])
         assert_frame_equal(result, expected)
 
+    def test_read_json_large_numbers(self):
+        # GH18842
+        json = '{"articleId": "1404366058080022500245"}'
+        json = StringIO(json)
+        result = read_json(json, typ="series")
+        expected = Series(1.404366e+21, index=['articleId'])
+        assert_series_equal(result, expected)
+
+        json = '{"0": {"articleId": "1404366058080022500245"}}'
+        json = StringIO(json)
+        result = read_json(json)
+        expected = DataFrame(1.404366e+21, index=['articleId'], columns=[0])
+        assert_frame_equal(result, expected)
+
     def test_to_jsonl(self):
         # GH9180
         df = DataFrame([[1, 2], [1, 2]], columns=['a', 'b'])