diff --git a/docs/extras/modules/agents/tools/integrations/zapier.ipynb b/docs/extras/modules/agents/tools/integrations/zapier.ipynb
index fdc5255a9..06079315f 100644
--- a/docs/extras/modules/agents/tools/integrations/zapier.ipynb
+++ b/docs/extras/modules/agents/tools/integrations/zapier.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Zapier Natural Language Actions API\n",
     "\\\n",
-    "Full docs here: https://nla.zapier.com/api/v1/docs\n",
+    "Full docs here: https://nla.zapier.com/start/\n",
     "\n",
     "**Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions on Zapier's platform through a natural language API interface.\n",
     "\n",
@@ -21,7 +21,7 @@
     "\n",
     "2. User-facing (Oauth): for production scenarios where you are deploying an end-user facing application and LangChain needs access to end-user's exposed actions and connected accounts on Zapier.com\n",
     "\n",
-    "This quick start will focus on the server-side use case for brevity. Review [full docs](https://nla.zapier.com/api/v1/docs) or reach out to nla@zapier.com for user-facing oauth developer support.\n",
+    "This quick start will focus on the server-side use case for brevity. Review [full docs](https://nla.zapier.com/start/) for user-facing oauth developer support.\n",
     "\n",
     "This example goes over how to use the Zapier integration with a `SimpleSequentialChain`, then an `Agent`.\n",
     "In code, below:"
@@ -39,7 +39,7 @@
     "# get from https://platform.openai.com/\n",
     "os.environ[\"OPENAI_API_KEY\"] = os.environ.get(\"OPENAI_API_KEY\", \"\")\n",
     "\n",
-    "# get from https://nla.zapier.com/demo/provider/debug (under User Information, after logging in):\n",
+    "# get from https://nla.zapier.com/docs/authentication/ after logging in):\n",
     "os.environ[\"ZAPIER_NLA_API_KEY\"] = os.environ.get(\"ZAPIER_NLA_API_KEY\", \"\")"
    ]
   },
diff --git a/langchain/tools/zapier/tool.py b/langchain/tools/zapier/tool.py
index 96d3b7622..9e770075e 100644
--- a/langchain/tools/zapier/tool.py
+++ b/langchain/tools/zapier/tool.py
@@ -1,6 +1,6 @@
 """## Zapier Natural Language Actions API
 \
-Full docs here: https://nla.zapier.com/api/v1/docs
+Full docs here: https://nla.zapier.com/start/
 
 **Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions
 on Zapier's platform through a natural language API interface.
@@ -24,8 +24,8 @@ NLA offers both API Key and OAuth for signing NLA API requests.
     connected accounts on Zapier.com
 
 This quick start will focus on the server-side use case for brevity.
-Review [full docs](https://nla.zapier.com/api/v1/docs) or reach out to
-nla@zapier.com for user-facing oauth developer support.
+Review [full docs](https://nla.zapier.com/start/) for user-facing oauth developer
+support.
 
 Typically, you'd use SequentialChain, here's a basic example:
 
@@ -42,8 +42,7 @@ import os
 # get from https://platform.openai.com/
 os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "")
 
-# get from https://nla.zapier.com/demo/provider/debug
-# (under User Information, after logging in):
+# get from https://nla.zapier.com/docs/authentication/
 os.environ["ZAPIER_NLA_API_KEY"] = os.environ.get("ZAPIER_NLA_API_KEY", "")
 
 from langchain.llms import OpenAI
@@ -61,8 +60,9 @@ from langchain.utilities.zapier import ZapierNLAWrapper
 
 llm = OpenAI(temperature=0)
 zapier = ZapierNLAWrapper()
-## To leverage a nla_oauth_access_token you may pass the value to the ZapierNLAWrapper
-## If you do this there is no need to initialize the ZAPIER_NLA_API_KEY env variable
+## To leverage OAuth you may pass the value `nla_oauth_access_token` to
+## the ZapierNLAWrapper. If you do this there is no need to initialize
+## the ZAPIER_NLA_API_KEY env variable
 # zapier = ZapierNLAWrapper(zapier_nla_oauth_access_token="TOKEN_HERE")
 toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)
 agent = initialize_agent(
@@ -99,7 +99,7 @@ class ZapierNLARunAction(BaseTool):
             (eg. "get the latest email from Mike Knoop" for "Gmail: find email" action)
         params: a dict, optional. Any params provided will *override* AI guesses
             from `instructions` (see "understanding the AI guessing flow" here:
-            https://nla.zapier.com/api/v1/docs)
+            https://nla.zapier.com/docs/using-the-api#ai-guessing)
 
     """
 
diff --git a/langchain/utilities/zapier.py b/langchain/utilities/zapier.py
index 4975ab6f3..d4da2f1c9 100644
--- a/langchain/utilities/zapier.py
+++ b/langchain/utilities/zapier.py
@@ -1,6 +1,6 @@
 """Util that can interact with Zapier NLA.
 
-Full docs here: https://nla.zapier.com/api/v1/docs
+Full docs here: https://nla.zapier.com/start/
 
 Note: this wrapper currently only implemented the `api_key` auth method for testing
 and server-side production use cases (using the developer's connected accounts on
@@ -24,16 +24,20 @@ from langchain.utils import get_from_dict_or_env
 class ZapierNLAWrapper(BaseModel):
     """Wrapper for Zapier NLA.
 
-    Full docs here: https://nla.zapier.com/api/v1/docs
+    Full docs here: https://nla.zapier.com/start/
 
-    Note: this wrapper currently only implemented the `api_key` auth method for
-    testingand server-side production use cases (using the developer's connected
-    accounts on Zapier.com)
+    This wrapper supports both API Key and OAuth Credential auth methods. API Key
+    is the fastest way to get started using this wrapper.
+
+    Call this wrapper with either `zapier_nla_api_key` or
+    `zapier_nla_oauth_access_token` arguments, or set the `ZAPIER_NLA_API_KEY`
+    environment variable. If both arguments are set, the Access Token will take
+    precedence.
 
     For use-cases where LangChain + Zapier NLA is powering a user-facing application,
     and LangChain needs access to the end-user's connected accounts on Zapier.com,
-    you'll need to use oauth. Review the full docs above and reach out to
-    nla@zapier.com for developer support.
+    you'll need to use OAuth. Review the full docs above to learn how to create
+    your own provider and generate credentials.
     """
 
     zapier_nla_api_key: str
@@ -120,7 +124,7 @@ class ZapierNLAWrapper(BaseModel):
         `params` will always contain an `instructions` key, the only required
         param. All others optional and if provided will override any AI guesses
         (see "understanding the AI guessing flow" here:
-        https://nla.zapier.com/api/v1/docs)
+        https://nla.zapier.com/docs/using-the-api#ai-guessing)
         """
         session = self._get_session()
         response = session.get(self.zapier_nla_api_base + "exposed/")
diff --git a/tests/unit_tests/tools/test_zapier.py b/tests/unit_tests/tools/test_zapier.py
index a4b60be96..4092b46df 100644
--- a/tests/unit_tests/tools/test_zapier.py
+++ b/tests/unit_tests/tools/test_zapier.py
@@ -50,3 +50,19 @@ def test_custom_base_prompt_fail() -> None:
             base_prompt=base_prompt,
             api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
         )
+
+
+def test_wrapper_fails_no_api_key_or_access_token_initialization() -> None:
+    """Test Wrapper requires either an API Key or OAuth Access Token."""
+    with pytest.raises(ValueError):
+        ZapierNLAWrapper()
+
+
+def test_wrapper_api_key_initialization() -> None:
+    """Test Wrapper initializes with an API Key."""
+    ZapierNLAWrapper(zapier_nla_api_key="test")
+
+
+def test_wrapper_access_token_initialization() -> None:
+    """Test Wrapper initializes with an API Key."""
+    ZapierNLAWrapper(zapier_nla_oauth_access_token="test")