diff --git a/docs/contributing.md b/docs/contributing.md
index 6324a2ad..945253c9 100644
--- a/docs/contributing.md
+++ b/docs/contributing.md
@@ -116,8 +116,8 @@ When coding a new scraper, there are a few important conventions to follow:
 - If it's a new state folder, add an empty `__init__.py` to the folder
 - Create a `Site` class inside the agency's scraper module with the following attributes/methods:
   - `name` - Official name of the agency
-  - `scrape_meta` - generates a CSV with metadata about videos and other available files (file name, URL, and size at minimum)
-  - `scrape` - uses the CSV generated by `scrape_meta` to download videos and other files
+  - `scrape_meta` - generates a JSON with metadata about videos and other available files (file name, URL, and size at minimum)
+  - `download_agency` - uses the JSON generated by `scrape_meta` to download videos and other files
 
 Below is a pared down version of San Diego's [Site](https://github.com/biglocalnews/clean-scraper/blob/main/clean/ca/san_diego_pd.py) class to illustrate these conventions.
 
@@ -278,6 +278,7 @@ Options:
 Commands:
   list         List all available agencies and their slugs.
   scrape-meta  Command-line interface for generating metadata CSV about...
+  download_agency Downloads assets retrieved in scrape-meta
 ```
 
 Running a state is as simple as passing arguments to the appropriate subcommand.
@@ -292,7 +293,7 @@ pipenv run python -m clean.cli list
 pipenv run python -m clean.cli scrape-meta ca_san_diego_pd
 
 # Trigger file downloads using agency slug
-pipenv run python -m clean.cli scrape ca_san_diego_pd
+pipenv run python -m clean.cli download_agency ca_san_diego_pd
 ```
 
 For more verbose logging, you can ask the system to show debugging information.
diff --git a/docs/usage.md b/docs/usage.md
index eab910dc..9cb4c283 100644
--- a/docs/usage.md
+++ b/docs/usage.md
@@ -31,14 +31,14 @@ You can then run a scraper for an agency using its slug:
 clean-scraper scrape-meta ca_san_diego_pd
 ```
 
-> **NOTE**: Always run `scrape-meta` at least once initially. It generates output required by the `scrape` subcommand.
+> **NOTE**: Always run `scrape-meta` at least once initially. It generates output required by the `download_agency` subcommand.
 
 To use the `clean` library in Python, import an agency's scraper and run it directly.
 
 ```python
 from clean.ca import san_diego_pd
 
-san_diego_pd.scrape()
+san_diego_pd.download_agency()
 ```
 
 ## Configuration
@@ -56,6 +56,7 @@ Options:
   --help  Show this message and exit.
 
 Commands:
-  list    List all available agencies and their slugs.
-  scrape-meta  Command-line interface for downloading CLEAN files.
+  list            List all available agencies and their slugs.
+  scrape-meta     Command-line interface for generating metadata CSV about...
+  download_agency Downloads assets retrieved in scrape-meta
 ```