gspread
Google Spreadsheets Python API
Decision gist · record as of 2026-08-14
Yes. gspread is a mature, actively maintained library with low install friction, permissive licensing, no known vulnerabilities, and a large user base. It is the standard choice for Python developers who need to automate Google Sheets workflows. Install it if you need to read, write, or manage Google Sheets programmatically.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- You must set up Google API credentials (service account or OAuth) before calling gspread methods.
- Low install friction with a pure-Python wheel and only two runtime dependencies (google-auth and google-auth-oauthlib).
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute gspread freely in both open-source and commercial projects without restriction.
last release 2025-05-14 (457 days) · last repo commit 2026-07-30 · 7,494 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 46,264,574 downloads/mo, #611 on PyPI
Alternatives
Verify before relying
pip install gspread
import gspread
gc = gspread.service_account()
wks = gc.open("My Spreadsheet").sheet1
wks.update([[1, 2], [3, 4]], "A1")- Whether the package handles concurrent writes or has rate-limiting considerations for high-volume updates.
- Performance characteristics when working with very large spreadsheets (row/column count limits).
- Whether all Google Sheets formatting options are supported or if some advanced features are missing.
What it is and what it does
gspread is a lightweight Python wrapper around the Google Sheets API v4 that lets you programmatically open, read, write, and format Google Sheets without dealing directly with the underlying REST API. It abstracts away authentication, HTTP requests, and JSON parsing, exposing spreadsheet operations through simple Python objects and methods.
You authenticate once (via service account or OAuth), then open sheets by title, key, or URL and work with worksheets, cells, and ranges using intuitive method calls. The package supports batch updates for efficiency, cell formatting, data validation, sharing controls, and finding cells by value or regex. It's commonly used for data pipelines, report generation, automated data entry, and integration of Google Sheets into larger Python applications.
Use it for
- Automate data entry or updates to Google Sheets from a Python script or scheduled job.
- Extract data from Google Sheets for processing, analysis, or integration with other systems.
- Generate or populate reports in Google Sheets programmatically from application data.
- Implement sharing and access control on spreadsheets as part of a larger workflow.
- Batch format cells, add validation rules, or restructure sheet layouts via code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
gspread is a mature, actively maintained library with low install friction, permissive licensing, no known vulnerabilities, and a large user base. It is the standard choice for Python developers who need to automate Google Sheets workflows. Install it if you need to read, write, or manage Google Sheets programmatically.
Install
gspread on PyPI
Before you install
Low install friction with a pure-Python wheel and only two runtime dependencies (google-auth and google-auth-oauthlib). The package is actively maintained with a recent commit history and has been stable since its initial release in 2011.
Requires Python 3.8 or later. You must set up Google API credentials (service account or OAuth) before calling gspread methods.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute gspread freely in both open-source and commercial projects without restriction.
Quickstart
pip install gspread
import gspread
gc = gspread.service_account()
wks = gc.open("My Spreadsheet").sheet1
wks.update([[1, 2], [3, 4]], "A1")Verify before relying
- Whether the package handles concurrent writes or has rate-limiting considerations for high-volume updates.
- Performance characteristics when working with very large spreadsheets (row/column count limits).
- Whether all Google Sheets formatting options are supported or if some advanced features are missing.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesgoogle-authgoogle-auth-oauthlib |
| Maintenance | Actively maintained 457 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 46,264,574 / month, #611 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: End Users/DesktopIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Office/Business :: Financial :: SpreadsheetTopic :: Software Development :: Libraries :: Python Modules |
Evidence: gspread-6.2.1-py3-none-any.whl
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See also gspread-asyncio · gspread-formatting · gspread-pandas · pygsheets · gspread-dataframe · gsheets · df2gspread · mcp-google-sheets · numbers-parser · aspose-cells-python