diff --git a/docs/website/blog/2024-02-28-what-is-pyairbyte.md b/docs/website/blog/2024-02-28-what-is-pyairbyte.md
index 02ab1b6de3..ffacb1c2d5 100644
--- a/docs/website/blog/2024-02-28-what-is-pyairbyte.md
+++ b/docs/website/blog/2024-02-28-what-is-pyairbyte.md
@@ -18,8 +18,10 @@ Here at dltHub, we work on the python library for data ingestion. So when I hear
 
 PyAirbyte is an interesting Airbyte’s initiative - similar to the one that Meltano had undertook 3 years ago. It provides a convenient way to download and install Airbyte sources and run them locally storing the data in a cache dataset. Users are allowed to then read the data from this cache.
 
+
 A Python wrapper on the Airbyte source is quite nice and has a feeling close to [Alto](https://github.com/z3z1ma/alto). The whole process of cloning/pip installing the repository, spawning a separate process to run Airbyte connector and read the data via UNIX pipe is hidden behind Pythonic interface.
 
+
 Note that this library is not an Airbyte replacement - the loaders of Airbyte and the library are very different. The library loader uses pandas.to_sql and sql alchemy and is not a replacement for Airbyte destinations that are available in Open Source Airbyte
 
 # Questions I had, answered
diff --git a/docs/website/docs/examples/incremental_loading/code/zendesk-snippets.py b/docs/website/docs/examples/incremental_loading/code/zendesk-snippets.py
index 49893fe74e..5ec3015741 100644
--- a/docs/website/docs/examples/incremental_loading/code/zendesk-snippets.py
+++ b/docs/website/docs/examples/incremental_loading/code/zendesk-snippets.py
@@ -140,4 +140,4 @@ def get_pages(
 
     # check that stuff was loaded
     row_counts = pipeline.last_trace.last_normalize_info.row_counts
-    assert row_counts["ticket_events"] == 16
+    assert row_counts["ticket_events"] >= 17