diff --git a/README.md b/README.md
index 914e3d1..4da0803 100644
--- a/README.md
+++ b/README.md
@@ -87,6 +87,7 @@ The following scripts are in the repo.
 * `wut-dl-sort-txmode-all` --- Populate `data/` dir with waterfalls from `download/` using all encodings.
 * `wut-files` --- Tells you about what files you have in `downloads/` and `data/`.
 * `wut-files-data` --- Tells you about what files you have in `data/`.
+* `wut-ia` --- Download SatNOGS data from the Internet Archive at `archive.org`.
 * `wut-img-ck.py` --- Validate image files are not corrupt with PIL.
 * `wut-ml` --- Main machine learning Python script using Tensorflow and Keras.
 * `wut-ml-auto` --- Machine learning Python script using Tensorflow and Keras, auto.
@@ -234,6 +235,20 @@ Files in the `preprocess/` directory have been preprocessed to be used
 further in the pipeline. This contains `.wav` files that have been
 decoded from `.ogg` files.
 
+## Internet Archive Downloads
+The Internet Archive has a mirror of data from the SatNOGS network.
+It is better to download from there to save on Libre Space Foundation
+resources.
+
+* https://archive.org/details/satnogs
+
+To download, perhaps do something like the following.
+Get an account at archive.org, then run this to set up your account locally:
+
+```
+ia configure
+```
+
 
 # Caveats
 This is the first artificial intelligence script I've done,
diff --git a/requirements.txt b/requirements.txt
index e1ffde6..b9c2882 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,5 @@
 black[jupyter]
+internetarchive
 ipywidgets
 jupyterlab
 matplotlib
diff --git a/wut-ia b/wut-ia
new file mode 100755
index 0000000..8a1c08d
--- /dev/null
+++ b/wut-ia
@@ -0,0 +1,8 @@
+#!/usr/bin/env python3
+#
+# wut-ia --- Download SatNOGS data from the Internet Archive at archive.org.
+#
+# https://archive.org/details/satnogs
+
+import internetarchive
+