Create a SQLite database containing metadata from Google Drive
For background on this project, see Google Drive to SQLite on my blog.
If you use Google Drive, and especially if you have shared drives with other people there's a good chance you have hundreds or even thousands of files that you may not be fully aware of.
This tool can download metadata about those files - their names, sizes, folders, content types, permissions, creation dates and more - and store them in a SQLite database.
This lets you use SQL to analyze your Google Drive contents, using Datasette or the SQLite command-line tool or any other SQLite database browsing software.
Install this tool using pip
:
pip install google-drive-to-sqlite
Authenticate with Google Drive by running:
google-drive-to-sqlite auth
Now create a SQLite database with metadata about all of the files you have starred using:
google-drive-to-sqlite files starred.db --starred
You can explore the resulting database using Datasette:
$ pip install datasette
$ datasette starred.db
INFO: Started server process [24661]
INFO: Uvicorn running on http://127.0.0.1:8001
:warning: This application has not yet been verified by Google - you may find you are unable to authenticate until that verification is complete. #10
You can work around this issue by creating your own OAuth client ID key and passing it to the
auth
command using--google-client-id
and--google-client-secret
.
First, authenticate with Google Drive using the auth
command:
$ google-drive-to-sqlite auth
Visit the following URL to authenticate with Google Drive
https://accounts.google.com/o/oauth2/v2/auth?...
Then return here and paste in the resulting code:
Paste code here:
Follow the link, sign in with Google Drive and then copy and paste the resulting code back into the tool.
This will save an authentication token to the file called auth.json
in the current directory.
To specify a different location for that file, use the --auth
option:
google-drive-to-sqlite auth --auth ~/google-drive-auth.json
The auth
command also provides options for using a different scope, Google client ID and Google client secret. You can use these to create your own custom authentication tokens that can work with other Google APIs, see issue #5 for details.
Full --help
:
Usage: google-drive-to-sqlite auth [OPTIONS]
Authenticate user and save credentials
Options:
-a, --auth FILE Path to save token, defaults to auth.json
--google-client-id TEXT Custom Google client ID
--google-client-secret TEXT Custom Google client secret
--scope TEXT Custom token scope
--help Show this message and exit.
To revoke the token that is stored in auth.json
, such that it cannot be used to access Google Drive in the future, run the revoke
command:
google-drive-to-sqlite revoke
Or if your token is stored in another location:
google-drive-to-sqlite revoke -a ~/google-drive-auth.json
You will need to obtain a fresh token using the auth
command in order to continue using this tool.
To retrieve metadata about the files in your Google Drive, or a folder or search within it, use the google-drive-to-sqlite files
command.
This will default to writing details about every file in your Google Drive to a SQLite database:
google-drive-to-sqlite files files.db
Files and folders will be written to databases tables, which will be created if they do not yet exist. The database schema is shown below.
If a file or folder already exists, based on a matching id
, it will be replaced with fresh data.
Instead of writing to SQLite you can use --json
to output as JSON, or --nl
to output as newline-delimited JSON:
google-drive-to-sqlite files --nl
Use --folder ID
to retrieve everything in a specified folder and its sub-folders:
google-drive-to-sqlite files files.db --folder 1E6Zg2X2bjjtPzVfX8YqdXZDCoB3AVA7i
Use --q QUERY
to use a custom search query:
google-drive-to-sqlite files files.db -q "viewedByMeTime > '2022-01-01'"
The following shortcut options help build queries:
--full-text TEXT
to search for files where the full text matches a search term--starred
for files and folders you have starred--trashed
for files and folders in the trash--shared-with-me
for files and folders that have been shared with you--apps
for Google Apps documents, spreadsheets, presentations and drawings (equivalent to setting all of the next four options)--docs
for Google Apps documents--sheets
for Google Apps spreadsheets--presentations
for Google Apps presentations--drawings
for Google Apps drawingsYou can combine these - for example, this returns all files that you have starred and that were shared with you:
google-drive-to-sqlite files highlights.db \
--starred --shared-with-me
Multiple options are treated as AND, with the exception of the Google Apps options which are treated as OR - so the following would retrieve all spreadsheets and presentations that have also been starred:
google-drive-to-sqlite files highlights.db \
--starred --sheets --presentations
You can use --stop-after X
to stop after retrieving X files, useful for trying out a new search pattern and seeing results straight away.
The --import-json
and --import-nl
options are mainly useful for testing and developing this tool. They allow you to replay the JSON or newline-delimited JSON that was previously fetched using --json
or --nl
and use it to create a fresh SQLite database, without needing to make any outbound API calls:
# Fetch all starred files from the API, write to starred.json
google-drive-to-sqlite files -q 'starred = true' --json > starred.json
# Now import that data into a new SQLite database file
google-drive-to-sqlite files starred.db --import-json starred.json
Full --help
:
Usage: google-drive-to-sqlite files [OPTIONS] [DATABASE]
Retrieve metadata for files in Google Drive, and write to a SQLite database or
output as JSON.
google-drive-to-sqlite files files.db
Use --json to output JSON, --nl for newline-delimited JSON:
google-drive-to-sqlite files files.db --json
Use a folder ID to recursively fetch every file in that folder and its sub-
folders:
google-drive-to-sqlite files files.db --folder
1E6Zg2X2bjjtPzVfX8YqdXZDCoB3AVA7i
Fetch files you have starred:
google-drive-to-sqlite files starred.db --starred
Options:
-a, --auth FILE Path to auth.json token file
--folder TEXT Files in this folder ID and its sub-folders
-q TEXT Files matching this query
--full-text TEXT Search for files with text match
--starred Files you have starred
--trashed Files in the trash
--shared-with-me Files that have been shared with you
--apps Google Apps docs, spreadsheets, presentations and
drawings
--docs Google Apps docs
--sheets Google Apps spreadsheets
--presentations Google Apps presentations
--drawings Google Apps drawings
--json Output JSON rather than write to DB
--nl Output newline-delimited JSON rather than write to DB
--stop-after INTEGER Stop paginating after X results
--import-json FILE Import from this JSON file instead of the API
--import-nl FILE Import from this newline-delimited JSON file
-v, --verbose Send verbose output to stderr
--help Show this message and exit.
The download
command can be used to download files from Google Drive.
You'll need one or more file IDs, which look something like 0B32uDVNZfiEKLUtIT1gzYWN2NDI4SzVQYTFWWWxCWUtvVGNB
.
To download the file, run this:
google-drive-to-sqlite download 0B32uDVNZfiEKLUtIT1gzYWN2NDI4SzVQYTFWWWxCWUtvVGNB
This will detect the content type of the file and use that as the extension - so if this file is a JPEG the file would be downloaded as:
0B32uDVNZfiEKLUtIT1gzYWN2NDI4SzVQYTFWWWxCWUtvVGNB.jpeg
You can pass multiple file IDs to the command at once.
To hide the progress bar and filename output, use -s
or --silent
.
If you are downloading a single file you can use the -o
output to specify a filename and location:
google-drive-to-sqlite download 0B32uDVNZfiEKLUtIT1gzYWN2NDI4SzVQYTFWWWxCWUtvVGNB \
-o my-image.jpeg
Use -o -
to write the file contents to standard output:
google-drive-to-sqlite download 0B32uDVNZfiEKLUtIT1gzYWN2NDI4SzVQYTFWWWxCWUtvVGNB \
-o - > my-image.jpeg
Full --help
:
Usage: google-drive-to-sqlite download [OPTIONS] FILE_IDS...
Download one or more files to disk, based on their file IDs.
The file content will be saved to a file with the name:
FILE_ID.ext
Where the extension is automatically picked based on the type of file.
If you are downloading a single file you can specify a filename with -o:
google-drive-to-sqlite download MY_FILE_ID -o myfile.txt
Options:
-a, --auth FILE Path to auth.json token file
-o, --output FILE File to write to, or - for standard output
-s, --silent Hide progress bar and filename
--help Show this message and exit.
The export
command can be used to export Google Docs documents, spreadsheets and presentations in a number of different formats.
You'll need one or more document IDs, which look something like 10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU
. You can find these by looking at the URL of your document on the Google Docs site.
To export that document as PDF, run this:
google-drive-to-sqlite export pdf 10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU
The file will be exported as:
10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU-export.pdf
You can pass multiple file IDs to the command at once.
For the FORMAT
option you can use any of the mime type options listed on this page - for example, to export as an Open Office document you could use:
google-drive-to-sqlite export \
application/vnd.oasis.opendocument.text \
10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU
For convenience the following shortcuts for common file formats are provided:
html
, txt
, rtf
, pdf
, doc
, zip
, epub
xls
, pdf
, csv
, tsv
, zip
ppt
, pdf
, txt
jpeg
, png
, svg
The zip
option returns a zip file of HTML. txt
returns plain text. The others should be self-evident.
To hide the filename output, use -s
or --silent
.
If you are exporting a single file you can use the -o
output to specify a filename and location:
google-drive-to-sqlite export pdf 10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU \
-o my-document.pdf
Use -o -
to write the file contents to standard output:
google-drive-to-sqlite export pdf 10BOHGDUYa7lBjUSo26YFCHTpgEmtXabdVFaopCTh1vU \
-o - > my-document.pdf
Full --help
:
Usage: google-drive-to-sqlite export [OPTIONS] FORMAT FILE_IDS...
Export one or more files to the specified format.
Usage:
google-drive-to-sqlite export pdf FILE_ID_1 FILE_ID_2
The file content will be saved to a file with the name:
FILE_ID-export.ext
Where the extension is based on the format you specified.
Available export formats can be seen here:
https://developers.google.com/drive/api/v3/ref-export-formats
Or you can use one of the following shortcuts:
- Google Docs: html, txt, rtf, pdf, doc, zip, epub
- Google Sheets: xls, pdf, csv, tsv, zip
- Presentations: ppt, pdf, txt
- Drawings: jpeg, png, svg
"zip" returns a zip file of HTML.
If you are exporting a single file you can specify a filename with -o:
google-drive-to-sqlite export zip MY_FILE_ID -o myfile.zip
Options:
-a, --auth FILE Path to auth.json token file
-o, --output FILE File to write to, or - for standard output
-s, --silent Hide progress bar and filename
--help Show this message and exit.
The get
command makes authenticated requests to the specified URL, using credentials derived from the auth.json
file.
For example:
$ google-drive-to-sqlite get 'https://www.googleapis.com/drive/v3/about?fields=*'
{
"kind": "drive#about",
"user": {
"kind": "drive#user",
"displayName": "Simon Willison",
# ...
If the resource you are fetching supports pagination you can use --paginate key
to paginate through all of the rows in a specified key. For example, the following API has a nextPageToken
key and a files
list, suggesting it supports pagination:
$ google-drive-to-sqlite get https://www.googleapis.com/drive/v3/files
{
"kind": "drive#fileList",
"nextPageToken": "~!!~AI9...wogHHYlc=",
"incompleteSearch": false,
"files": [
{
"kind": "drive#file",
"id": "1YEsITp_X8PtDUJWHGM0osT-TXAU1nr0e7RSWRM2Jpyg",
"name": "Title of a spreadsheet",
"mimeType": "application/vnd.google-apps.spreadsheet"
},
To paginate through everything in the files
list you would use --paginate files
like this:
$ google-drive-to-sqlite get https://www.googleapis.com/drive/v3/files --paginate files
[
{
"kind": "drive#file",
"id": "1YEsITp_X8PtDUJWHGM0osT-TXAU1nr0e7RSWRM2Jpyg",
"name": "Title of a spreadsheet",
"mimeType": "application/vnd.google-apps.spreadsheet"
},
# ...
Add --nl
to stream paginated data as newline-delimited JSON:
$ google-drive-to-sqlite get https://www.googleapis.com/drive/v3/files --paginate files --nl
{"kind": "drive#file", "id": "1YEsITp_X8PtDUJWHGM0osT-TXAU1nr0e7RSWRM2Jpyg", "name": "Title of a spreadsheet", "mimeType": "application/vnd.google-apps.spreadsheet"}
{"kind": "drive#file", "id": "1E6Zg2X2bjjtPzVfX8YqdXZDCoB3AVA7i", "name": "Subfolder", "mimeType": "application/vnd.google-apps.folder"}
Add --stop-after 5
to stop after 5 records - useful for testing.
Full --help
:
Usage: google-drive-to-sqlite get [OPTIONS] URL
Make an authenticated HTTP GET to the specified URL
Options:
-a, --auth FILE Path to auth.json token file
--paginate TEXT Paginate through all results in this key
--nl Output paginated data as newline-delimited JSON
--stop-after INTEGER Stop paginating after X results
-v, --verbose Send verbose output to stderr
--help Show this message and exit.
The database created by this tool has the following schema:
CREATE TABLE [drive_users] (
[permissionId] TEXT PRIMARY KEY,
[kind] TEXT,
[displayName] TEXT,
[photoLink] TEXT,
[me] INTEGER,
[emailAddress] TEXT
);
CREATE TABLE [drive_folders] (
[id] TEXT PRIMARY KEY,
[_parent] TEXT,
[_owner] TEXT,
[lastModifyingUser] TEXT,
[kind] TEXT,
[name] TEXT,
[mimeType] TEXT,
[starred] INTEGER,
[trashed] INTEGER,
[explicitlyTrashed] INTEGER,
[parents] TEXT,
[spaces] TEXT,
[version] TEXT,
[webViewLink] TEXT,
[iconLink] TEXT,
[hasThumbnail] INTEGER,
[thumbnailVersion] TEXT,
[viewedByMe] INTEGER,
[createdTime] TEXT,
[modifiedTime] TEXT,
[modifiedByMe] INTEGER,
[shared] INTEGER,
[ownedByMe] INTEGER,
[viewersCanCopyContent] INTEGER,
[copyRequiresWriterPermission] INTEGER,
[writersCanShare] INTEGER,
[folderColorRgb] TEXT,
[quotaBytesUsed] TEXT,
[isAppAuthorized] INTEGER,
[linkShareMetadata] TEXT,
FOREIGN KEY([_parent]) REFERENCES [drive_folders]([id]),
FOREIGN KEY([_owner]) REFERENCES [drive_users]([permissionId]),
FOREIGN KEY([lastModifyingUser]) REFERENCES [drive_users]([permissionId])
);
CREATE TABLE [drive_files] (
[id] TEXT PRIMARY KEY,
[_parent] TEXT,
[_owner] TEXT,
[lastModifyingUser] TEXT,
[kind] TEXT,
[name] TEXT,
[mimeType] TEXT,
[starred] INTEGER,
[trashed] INTEGER,
[explicitlyTrashed] INTEGER,
[parents] TEXT,
[spaces] TEXT,
[version] TEXT,
[webViewLink] TEXT,
[iconLink] TEXT,
[hasThumbnail] INTEGER,
[thumbnailVersion] TEXT,
[viewedByMe] INTEGER,
[createdTime] TEXT,
[modifiedTime] TEXT,
[modifiedByMe] INTEGER,
[shared] INTEGER,
[ownedByMe] INTEGER,
[viewersCanCopyContent] INTEGER,
[copyRequiresWriterPermission] INTEGER,
[writersCanShare] INTEGER,
[quotaBytesUsed] TEXT,
[isAppAuthorized] INTEGER,
[linkShareMetadata] TEXT,
FOREIGN KEY([_parent]) REFERENCES [drive_folders]([id]),
FOREIGN KEY([_owner]) REFERENCES [drive_users]([permissionId]),
FOREIGN KEY([lastModifyingUser]) REFERENCES [drive_users]([permissionId])
);
You can construct a thumbnail image for a known file ID using the following URL:
https://drive.google.com/thumbnail?sz=w800-h800&id=FILE_ID
Users who are signed into Google Drive and have permission to view a file will be redirected to a thumbnail version of that file. You can tweak the w800
and h800
parameters to request different thumbnail sizes.
This tool requests access to your Google Drive account in order to retrieve metadata about your files there. It also offers a feature that can download the content of those files.
The credentials used to access your account are stored in the auth.json
file on your computer. The metadata and content retrieved from Google Drive is also stored only on your own personal computer.
At no point do the developers of this tool gain access to any of your data.
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd google-drive-to-sqlite
python -m venv venv
source venv/bin/activate
Or if you are using pipenv
:
pipenv shell
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest