diff --git a/doc/source/whatsnew/v0.23.0.txt b/doc/source/whatsnew/v0.23.0.txt
index d3bb28c2aee65..49d16a7b5290f 100644
--- a/doc/source/whatsnew/v0.23.0.txt
+++ b/doc/source/whatsnew/v0.23.0.txt
@@ -495,6 +495,7 @@ Other Enhancements
 - :meth:`DataFrame.to_sql` now performs a multivalue insert if the underlying connection supports itk rather than inserting row by row.
   ``SQLAlchemy`` dialects supporting multivalue inserts include: ``mysql``, ``postgresql``, ``sqlite`` and any dialect with ``supports_multivalues_insert``. (:issue:`14315`, :issue:`8953`)
 - :func:`read_html` now accepts a ``displayed_only`` keyword argument to controls whether or not hidden elements are parsed (``True`` by default) (:issue:`20027`)
+- :func:`read_html` now reads all ``<tbody>`` elements in a ``<table>``, not just the first. (:issue:`20690`)
 - :meth:`~pandas.core.window.Rolling.quantile` and :meth:`~pandas.core.window.Expanding.quantile` now accept the ``interpolation`` keyword, ``linear`` by default (:issue:`20497`)
 - zip compression is supported via ``compression=zip`` in :func:`DataFrame.to_pickle`, :func:`Series.to_pickle`, :func:`DataFrame.to_csv`, :func:`Series.to_csv`, :func:`DataFrame.to_json`, :func:`Series.to_json`. (:issue:`17778`)
 - :class:`pandas.tseries.api.offsets.WeekOfMonth` constructor now supports ``n=0`` (:issue:`20517`).
diff --git a/pandas/io/html.py b/pandas/io/html.py
index ba5da1b4e3a76..8fd876e85889f 100644
--- a/pandas/io/html.py
+++ b/pandas/io/html.py
@@ -324,7 +324,7 @@ def _parse_thead(self, table):
         raise com.AbstractMethodError(self)
 
     def _parse_tbody(self, table):
-        """Return the body of the table.
+        """Return the list of tbody elements from the parsed table element.
 
         Parameters
         ----------
@@ -333,8 +333,8 @@ def _parse_tbody(self, table):
 
         Returns
         -------
-        tbody : node-like
-            A <tbody>...</tbody> element.
+        tbodys : list of node-like
+            A list of <tbody>...</tbody> elements
         """
         raise com.AbstractMethodError(self)
 
@@ -388,13 +388,17 @@ def _parse_raw_tfoot(self, table):
             np.array(res).squeeze()) if res and len(res) == 1 else res
 
     def _parse_raw_tbody(self, table):
-        tbody = self._parse_tbody(table)
+        tbodies = self._parse_tbody(table)
 
-        try:
-            res = self._parse_tr(tbody[0])
-        except IndexError:
-            res = self._parse_tr(table)
-        return self._parse_raw_data(res)
+        raw_data = []
+
+        if tbodies:
+            for tbody in tbodies:
+                raw_data.extend(self._parse_tr(tbody))
+        else:
+            raw_data.extend(self._parse_tr(table))
+
+        return self._parse_raw_data(raw_data)
 
     def _handle_hidden_tables(self, tbl_list, attr_name):
         """Returns list of tables, potentially removing hidden elements
diff --git a/pandas/tests/io/test_html.py b/pandas/tests/io/test_html.py
index 078b5f8448d46..a56946b82b027 100644
--- a/pandas/tests/io/test_html.py
+++ b/pandas/tests/io/test_html.py
@@ -396,6 +396,33 @@ def test_empty_tables(self):
         res2 = self.read_html(StringIO(data2))
         assert_framelist_equal(res1, res2)
 
+    def test_multiple_tbody(self):
+        # GH-20690
+        # Read all tbody tags within a single table.
+        data = '''<table>
+            <thead>
+                <tr>
+                    <th>A</th>
+                    <th>B</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>1</td>
+                    <td>2</td>
+                </tr>
+            </tbody>
+            <tbody>
+                <tr>
+                    <td>3</td>
+                    <td>4</td>
+                </tr>
+            </tbody>
+        </table>'''
+        expected = DataFrame({'A': [1, 3], 'B': [2, 4]})
+        result = self.read_html(StringIO(data))[0]
+        tm.assert_frame_equal(result, expected)
+
     def test_header_and_one_column(self):
         """
         Don't fail with bs4 when there is a header and only one column