diff --git a/conveyal_update/conveyal_vars.py b/conveyal_update/conveyal_vars.py
index 97a0517a4..2ebfc8280 100644
--- a/conveyal_update/conveyal_vars.py
+++ b/conveyal_update/conveyal_vars.py
@@ -1,7 +1,7 @@
 import datetime as dt
 
 GCS_PATH = 'gs://calitp-analytics-data/data-analyses/conveyal_update/'
-TARGET_DATE = dt.date(2023, 10, 18) #  '2023-10-18' is most recent in Conveyal for the main 4 regions
+TARGET_DATE = dt.date(2022, 9, 21) #  2022 date for SCAG request
 OSM_FILE = 'us-west-latest.osm.pbf'
 #  http://download.geofabrik.de/north-america/us-west-latest.osm.pbf
 #  first download with wget...
diff --git a/conveyal_update/evaluate_feeds.py b/conveyal_update/evaluate_feeds.py
index 7c0e1f1f2..d11d9e8e4 100644
--- a/conveyal_update/evaluate_feeds.py
+++ b/conveyal_update/evaluate_feeds.py
@@ -54,16 +54,22 @@ def attach_transit_services(feeds_on_target: pd.DataFrame):
 def report_undefined(feeds_on_target: pd.DataFrame):
     fname = 'no_apparent_service.csv'
     undefined = feeds_on_target.apply(check_defined_elsewhere, axis=1, args=[feeds_on_target]) >> filter(-_.service_any_feed)
-    print('these feeds have no service defined on target date, nor are their services captured in other feeds:')
-    print(undefined >> select(_.gtfs_dataset_name, _.service_any_feed))
-    print(f'saving detailed csv to {fname}')
-    undefined.to_csv(fname)
+    if undefined.empty:
+        print('no undefined service feeds')
+    else:
+        print(undefined.columns)
+        print('these feeds have no service defined on target date, nor are their services captured in other feeds:')
+        #  gtfs_dataset_name no longer present, this whole script should probably be updated/replaced
+        # print(undefined >> select(_.gtfs_dataset_name, _.service_any_feed))
+        print(f'saving detailed csv to {fname}')
+        undefined.to_csv(fname)
     return
 
 if __name__ == '__main__':
     
     feeds_on_target = get_feeds_check_service()
     feeds_on_target = attach_transit_services(feeds_on_target)
+    print(f'feeds on target date shape: {feeds_on_target.shape}')
     report_undefined(feeds_on_target)
     feeds_on_target.to_parquet(f'{conveyal_vars.GCS_PATH}feeds_{TARGET_DATE.isoformat()}.parquet')
     
\ No newline at end of file
diff --git a/conveyal_update/scag_2022_export.ipynb b/conveyal_update/scag_2022_export.ipynb
new file mode 100644
index 000000000..0f4194e40
--- /dev/null
+++ b/conveyal_update/scag_2022_export.ipynb
@@ -0,0 +1,744 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "2f0079e6-ac0e-4528-9970-2f3f4c453caa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from siuba import *\n",
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "import datetime as dt\n",
+    "\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b52cd909-556a-4e69-8abd-b54ae1f2181d",
+   "metadata": {},
+   "source": [
+    "# 2022 SCAG GTFS Export\n",
+    "\n",
+    "SCAG is interested in 2022 GTFS data so they can recalculate their RTP/SCS hq corridor/major stop baseline per AB2553.\n",
+    "\n",
+    "Download original feed for any feed with a stop in SCAG region.\n",
+    "Use `gtfs_funnel`, could likely redo conveyal update scripts this way too."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "993ef52d-a1a8-49f0-a7a0-00e18748d569",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.environ[\"CALITP_BQ_MAX_BYTES\"] = str(800_000_000_000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e9e1ec68-7ee0-441b-93a2-670e324d5b00",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import zipfile\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b9be13fb-c18e-40d0-b228-de1ae4afc1d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from shared_utils import gtfs_utils_v2, catalog_utils, rt_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "bd68a19f-5a37-4b83-94c2-a5c0211d80ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from calitp_data_analysis.geography_utils import CA_NAD83Albers, WGS84"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1badd168-ff8f-4c5f-8697-a5ba9ce59f70",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scag = gpd.read_file('scag_region.geojson')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "21a05873-55a8-4571-aa50-cc8bb9ea3ba3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cat = catalog_utils.get_catalog('gtfs_analytics_data')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4c2ff82f-bc8d-4812-a263-bda2439cee50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'stops'"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cat.schedule_downloads.stops"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "d4eb920c-7791-4e8a-93cb-91c359f82f29",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'gs://calitp-analytics-data/data-analyses/rt_delay/compiled_cached_views/'"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cat.gcs_paths.COMPILED_CACHED_VIEWS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "3a74097b-8f2f-4b73-b125-5ceca5409705",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "analysis_date = rt_dates.DATES['sep2022a']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "9ae8fd74-ccc6-43dc-a4bf-6fe7f54c5952",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2022-09-21'"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "analysis_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "ce880745-df7b-444c-8dac-43d1cce88abc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stops = gpd.read_parquet(f'{cat.gcs_paths.COMPILED_CACHED_VIEWS}{cat.schedule_downloads.stops}_{analysis_date}.parquet')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "0031fbbc-b0d4-4d79-adb2-d0639d72f072",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['feed_key', 'service_date', 'feed_timezone',\n",
+       "       'first_stop_arrival_datetime_pacific',\n",
+       "       'last_stop_departure_datetime_pacific', 'stop_id', 'stop_key',\n",
+       "       'stop_name', 'stop_event_count', 'route_type_0', 'route_type_1',\n",
+       "       'route_type_2', 'route_type_3', 'route_type_4', 'route_type_5',\n",
+       "       'route_type_6', 'route_type_7', 'route_type_11', 'route_type_12',\n",
+       "       'missing_route_type', 'geometry'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stops.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "4576d627-20ae-4393-a06f-eb457241a41c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stops = stops >> select(_.feed_key, _.geometry)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "ef6eaa7c-97cb-4da9-8df3-c9b94e006d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "feeds = (gtfs_utils_v2.schedule_daily_feed_to_gtfs_dataset_name(selected_date=analysis_date)\n",
+    "         >> select(_.feed_key, _.gtfs_dataset_name == _.name, _.base64_url))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "6e722819-6d73-45ee-9518-0f5c37716ed0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = stops >> inner_join(_, feeds, on='feed_key')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "19f9a4c5-5ba7-41bc-be8c-83d87cafe378",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = gdf.to_crs(CA_NAD83Albers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "f8f5b976-f56c-4425-b658-8b48fbf465b3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scag = scag.to_crs(CA_NAD83Albers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "d821daef-1224-4886-8977-bb587188ef5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scag_stops = gdf.clip(scag.dissolve())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "71348fde-8230-4870-af61-77c6126d0aa4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scag_feeds = scag_stops >> distinct(_.feed_key, _.base64_url, _.gtfs_dataset_name)\n",
+    "scag_feeds['date'] = analysis_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "9dc410fd-cd5b-4f66-b35b-cf5f9a39182a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>feed_key</th>\n",
+       "      <th>base64_url</th>\n",
+       "      <th>gtfs_dataset_name</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>360899e1281d494ad773604cd324a8c4</td>\n",
+       "      <td>aHR0cHM6Ly9nb3ZjYnVzLmNvbS9ndGZz</td>\n",
+       "      <td>VCTC GMV Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4cc74cc4d637c03ba2d87df7080a57d1</td>\n",
+       "      <td>aHR0cDovL3d3dy5nb2xkY29hc3R0cmFuc2l0Lm9yZy9pbW...</td>\n",
+       "      <td>Gold Coast Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>cf5091853923f5eee684e4b8f1763b3b</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>VCTC Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>756ac24f2446226cf33c5ce02f73c028</td>\n",
+       "      <td>aHR0cHM6Ly93d3cueWNpcHRhLm9yZy9ndGZzL2dvb2dsZV...</td>\n",
+       "      <td>Yuma Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>12fc0bdeffdf836940c5755c9611103e</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>Desert Roadrunner Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>c20c953e5cec597e7e75ef05c2f8746f</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>Moorpark Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>66831926626d19ead711aef2a6be877f</td>\n",
+       "      <td>aHR0cHM6Ly9naXRodWIuY29tL0xBQ01UQS9sb3MtYW5nZW...</td>\n",
+       "      <td>Sierra Madre Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>3914ec5719b2697f81b4318b38e91694</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>Kern Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>0a165d0fe19fefcb424f577091cf52d0</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>Eastern Sierra Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>7a8e48c9cf05f58718635944100028d4</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>Needles Schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>66 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                            feed_key  \\\n",
+       "0   360899e1281d494ad773604cd324a8c4   \n",
+       "1   4cc74cc4d637c03ba2d87df7080a57d1   \n",
+       "2   cf5091853923f5eee684e4b8f1763b3b   \n",
+       "3   756ac24f2446226cf33c5ce02f73c028   \n",
+       "4   12fc0bdeffdf836940c5755c9611103e   \n",
+       "..                               ...   \n",
+       "61  c20c953e5cec597e7e75ef05c2f8746f   \n",
+       "62  66831926626d19ead711aef2a6be877f   \n",
+       "63  3914ec5719b2697f81b4318b38e91694   \n",
+       "64  0a165d0fe19fefcb424f577091cf52d0   \n",
+       "65  7a8e48c9cf05f58718635944100028d4   \n",
+       "\n",
+       "                                           base64_url  \\\n",
+       "0                    aHR0cHM6Ly9nb3ZjYnVzLmNvbS9ndGZz   \n",
+       "1   aHR0cDovL3d3dy5nb2xkY29hc3R0cmFuc2l0Lm9yZy9pbW...   \n",
+       "2   aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "3   aHR0cHM6Ly93d3cueWNpcHRhLm9yZy9ndGZzL2dvb2dsZV...   \n",
+       "4   aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "..                                                ...   \n",
+       "61  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "62  aHR0cHM6Ly9naXRodWIuY29tL0xBQ01UQS9sb3MtYW5nZW...   \n",
+       "63  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "64  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "65  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "\n",
+       "             gtfs_dataset_name        date  \n",
+       "0            VCTC GMV Schedule  2022-09-21  \n",
+       "1          Gold Coast Schedule  2022-09-21  \n",
+       "2                VCTC Schedule  2022-09-21  \n",
+       "3                Yuma Schedule  2022-09-21  \n",
+       "4   Desert Roadrunner Schedule  2022-09-21  \n",
+       "..                         ...         ...  \n",
+       "61           Moorpark Schedule  2022-09-21  \n",
+       "62       Sierra Madre Schedule  2022-09-21  \n",
+       "63               Kern Schedule  2022-09-21  \n",
+       "64     Eastern Sierra Schedule  2022-09-21  \n",
+       "65            Needles Schedule  2022-09-21  \n",
+       "\n",
+       "[66 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scag_feeds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "339fc998-590e-49a7-8b10-3b684790480f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from shared_utils.rt_utils import show_full_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "67f25e2b-53c9-4879-8fd5-cbf0288bb871",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scag_feeds.gtfs_dataset_name = scag_feeds.gtfs_dataset_name.str.lower().str.replace(' ', '_')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "0d9815ce-9692-4e0e-80fa-0280326f95b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>feed_key</th>\n",
+       "      <th>base64_url</th>\n",
+       "      <th>gtfs_dataset_name</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>360899e1281d494ad773604cd324a8c4</td>\n",
+       "      <td>aHR0cHM6Ly9nb3ZjYnVzLmNvbS9ndGZz</td>\n",
+       "      <td>vctc_gmv_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4cc74cc4d637c03ba2d87df7080a57d1</td>\n",
+       "      <td>aHR0cDovL3d3dy5nb2xkY29hc3R0cmFuc2l0Lm9yZy9pbW...</td>\n",
+       "      <td>gold_coast_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>cf5091853923f5eee684e4b8f1763b3b</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>vctc_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>756ac24f2446226cf33c5ce02f73c028</td>\n",
+       "      <td>aHR0cHM6Ly93d3cueWNpcHRhLm9yZy9ndGZzL2dvb2dsZV...</td>\n",
+       "      <td>yuma_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>12fc0bdeffdf836940c5755c9611103e</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>desert_roadrunner_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>c20c953e5cec597e7e75ef05c2f8746f</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>moorpark_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>66831926626d19ead711aef2a6be877f</td>\n",
+       "      <td>aHR0cHM6Ly9naXRodWIuY29tL0xBQ01UQS9sb3MtYW5nZW...</td>\n",
+       "      <td>sierra_madre_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>3914ec5719b2697f81b4318b38e91694</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>kern_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>0a165d0fe19fefcb424f577091cf52d0</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>eastern_sierra_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>7a8e48c9cf05f58718635944100028d4</td>\n",
+       "      <td>aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...</td>\n",
+       "      <td>needles_schedule</td>\n",
+       "      <td>2022-09-21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>66 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                            feed_key  \\\n",
+       "0   360899e1281d494ad773604cd324a8c4   \n",
+       "1   4cc74cc4d637c03ba2d87df7080a57d1   \n",
+       "2   cf5091853923f5eee684e4b8f1763b3b   \n",
+       "3   756ac24f2446226cf33c5ce02f73c028   \n",
+       "4   12fc0bdeffdf836940c5755c9611103e   \n",
+       "..                               ...   \n",
+       "61  c20c953e5cec597e7e75ef05c2f8746f   \n",
+       "62  66831926626d19ead711aef2a6be877f   \n",
+       "63  3914ec5719b2697f81b4318b38e91694   \n",
+       "64  0a165d0fe19fefcb424f577091cf52d0   \n",
+       "65  7a8e48c9cf05f58718635944100028d4   \n",
+       "\n",
+       "                                           base64_url  \\\n",
+       "0                    aHR0cHM6Ly9nb3ZjYnVzLmNvbS9ndGZz   \n",
+       "1   aHR0cDovL3d3dy5nb2xkY29hc3R0cmFuc2l0Lm9yZy9pbW...   \n",
+       "2   aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "3   aHR0cHM6Ly93d3cueWNpcHRhLm9yZy9ndGZzL2dvb2dsZV...   \n",
+       "4   aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "..                                                ...   \n",
+       "61  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "62  aHR0cHM6Ly9naXRodWIuY29tL0xBQ01UQS9sb3MtYW5nZW...   \n",
+       "63  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "64  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "65  aHR0cDovL2RhdGEudHJpbGxpdW10cmFuc2l0LmNvbS9ndG...   \n",
+       "\n",
+       "             gtfs_dataset_name        date  \n",
+       "0            vctc_gmv_schedule  2022-09-21  \n",
+       "1          gold_coast_schedule  2022-09-21  \n",
+       "2                vctc_schedule  2022-09-21  \n",
+       "3                yuma_schedule  2022-09-21  \n",
+       "4   desert_roadrunner_schedule  2022-09-21  \n",
+       "..                         ...         ...  \n",
+       "61           moorpark_schedule  2022-09-21  \n",
+       "62       sierra_madre_schedule  2022-09-21  \n",
+       "63               kern_schedule  2022-09-21  \n",
+       "64     eastern_sierra_schedule  2022-09-21  \n",
+       "65            needles_schedule  2022-09-21  \n",
+       "\n",
+       "[66 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scag_feeds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "bd12d7e1-e4fd-4930-9cbf-0182e6919b3c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def download_feed(row):\n",
+    "    # need wildcard for file too -- not all are gtfs.zip!\n",
+    "    uri = f'gs://calitp-gtfs-schedule-raw-v2/schedule/dt={row.date}/*/base64_url={row.base64_url}/*.zip'\n",
+    "    fs.get(uri, f'{row.path}/{row.gtfs_dataset_name}_{row.feed_key}_gtfs.zip')\n",
+    "    # print(f'downloaded {row.path}/{row.feed_key}_gtfs.zip')\n",
+    "    \n",
+    "def download_region(feeds_df):\n",
+    "    \n",
+    "    path = f'./feeds_{feeds_df.date.iloc[0]}/scag'\n",
+    "    if not os.path.exists(path): os.makedirs(path)\n",
+    "    feeds_df['path'] = path\n",
+    "    feeds_df.progress_apply(download_feed, axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "9106b5a5-f2c2-441d-ac8a-ebac71998f27",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm import tqdm\n",
+    "tqdm.pandas()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "673451f5-e1b4-4406-8842-475ea274a4fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 66/66 [00:22<00:00,  2.94it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "download_region(scag_feeds)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "8641df71-265c-4a19-a204-60e2e5525c9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import shutil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "id": "1aab6e78-73cc-41c7-8742-1e4ca5358bfd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/home/jovyan/data-analyses/conveyal_update/feeds_2022-09-21.zip'"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "shutil.make_archive(f'feeds_{analysis_date}', 'zip', f'./feeds_{analysis_date}/')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}