Skip to content

Automate PyPI release pipeline and modernize packaging #26

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ilyazub merged 5 commits into from
Mar 18, 2026
Merged

Automate PyPI release pipeline and modernize packaging #26

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
23fd58b
Migrate packaging metadata to pyproject.toml (PEP 621)
ilyazub Mar 18, 2026
bf3e5fa
Update CI workflow: clean up steps, gate example tests to Python 3.13
ilyazub Mar 18, 2026
290bacd
Add automated PyPI release workflow
ilyazub Mar 18, 2026
97990a5
Ignore local .venv/ directory
ilyazub Mar 18, 2026
fd4b60b
Document release process in README
ilyazub Mar 18, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Document release process in README
  • Loading branch information
@ilyazub
ilyazub committed Mar 18, 2026
commit fd4b60b1b3a95ee49caf9003e069c1d895cc4d75
12 changes: 12 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -369,3 +369,15 @@ MIT License.
## Contributing

Bug reports and pull requests are welcome on GitHub. Once dependencies are installed, you can run the tests with `pytest`.

## Publishing a new release

1. Update the version in `serpapi/__version__.py`.
2. Push a tag — the release pipeline runs automatically:
```sh
git tag v1.2.3
git push origin v1.2.3
```
This triggers the [release workflow](.github/workflows/release.yml), which tests, builds, and publishes to PyPI, then smoke-tests the published package.

> **Required secrets:** `PYPI_API_TOKEN` (PyPI upload token) and `API_KEY` (used in smoke-test live search).