diff --git a/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb b/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
index 6f5048e7e8ee..7785041253e6 100644
--- a/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
+++ b/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
@@ -54,7 +54,7 @@
       "source": [
         "Natural Language Processing or NLP is a field of Artifical Intelligence that enables computers to interpret and understand human language. It involves multiple steps such as applying various preprocessing functions, getting predictions from a model, storing the predictions in a useful format, etc.\n",
         "Sentiment Analysis is a popular use case of NLP, which allows computers to analyze the sentiment of a text. This notebook demonstrates the use of streaming pipelines in NLP.\n",
-        "* Extracts comments using [Youtube API](https://developers.google.com/youtube/v3) and publishing them to Pub/Sub\n",
+        "* Extracts comments using [Youtube API](https://developers.google.com/youtube/data) and publishing them to Pub/Sub\n",
         "* Trains a TensorFlow model to predict the sentiment of text\n",
         "* Stores the model in Google Cloud and creates a model handler\n",
         "* Builds a Beam pipeline to:\n",
@@ -724,9 +724,7 @@
       },
       "source": [
         "## Extracting and sending comments to Pub/Sub\n",
-        "YouTube API provides an interface for accessing YouTube data. First, we need to enable YouTube API on the Google Cloud Console project. After that, we need to create a credential, which will further provide an API key. This API key, along with a video ID can be used to access data of that YouTube video. The Publisher created earlier is used to publish each comment to Pub/Sub.\n",
-        "\n",
-        "See examples of using the YouTube API [here](https://developers.google.com/youtube/v3/code_samples/code_snippets)."
+        "YouTube API provides an interface for accessing YouTube data. First, we need to enable YouTube API on the Google Cloud Console project. After that, we need to create a credential, which will further provide an API key. This API key, along with a video ID can be used to access data of that YouTube video. The Publisher created earlier is used to publish each comment to Pub/Sub.\n"
       ]
     },
     {