Find commits via various criteria on the default branch (usually master). This method returns up to 100 results per page.

When searching for commits, you can get text match metadata for the message field when you provide the text-match media type. For more details about how to receive highlighted search results, see Text match
metadata.

For example, if you want to find commits related to CSS in the octocat/Spoon-Knife repository. Your query would look something like this:

q=repo:octocat/Spoon-Knife+css

Find issues by state and keyword. This method returns up to 100 results per page.

When searching for issues, you can get text match metadata for the issue title, issue body, and issue comment body fields when you pass the text-match media type. For more details about how to receive highlighted
search results, see Text match metadata.

For example, if you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.

q=windows+label:bug+language:python+state:open&sort=created&order=asc

This query searches for the keyword windows, within any open issue that is labeled as bug. The search runs across repositories whose primary language is Python. The results are sorted by creation date in ascending order, which means the oldest issues appear first in the search results.

Note: For user-to-server GitHub App requests, you can’t retrieve a combination of issues and pull requests in a single query. Requests that don’t include the is:issue or is:pull-request qualifier will receive an HTTP 422 Unprocessable Entity response. To get results for both issues and pull requests, you must send separate queries for issues and pull requests. For more information about the is qualifier, see “Searching only issues or pull requests.”

Find labels in a repository with names or descriptions that match search keywords. Returns up to 100 results per page.

When searching for labels, you can get text match metadata for the label name and description fields when you pass the text-match media type. For more details about how to receive highlighted search results, see Text match metadata.

For example, if you want to find labels in the linguist repository that match bug, defect, or enhancement. Your query might look like this:

q=bug+defect+enhancement&repository_id=64778136

The labels that best match the query appear first in the search results.

Find repositories via various criteria. This method returns up to 100 results per page.

When searching for repositories, you can get text match metadata for the name and description fields when you pass the text-match media type. For more details about how to receive highlighted search results, see Text match metadata.

For example, if you want to search for popular Tetris repositories written in assembly code, your query might look like this:

q=tetris+language:assembly&sort=stars&order=desc

This query searches for repositories with the word tetris in the name, the description, or the README. The results are limited to repositories where the primary language is assembly. The results are sorted by stars in descending order, so that the most popular repositories appear first in the search results.

When you include the mercy preview header, you can also search for multiple topics by adding more topic: instances. For example, your query might look like this:

q=topic:ruby+topic:rails

Find topics via various criteria. Results are sorted by best match. This method returns up to 100 results per page. See “Searching topics” for a detailed list of qualifiers.

When searching for topics, you can get text match metadata for the topic’s short_description, description, name, or display_name field when you pass the text-match media type. For more details about how to receive highlighted search results, see Text match metadata.

For example, if you want to search for topics related to Ruby that are featured on https://github.com/topics. Your query might look like this:

q=ruby+is:featured

This query searches for topics with the keyword ruby and limits the results to find only topics that are featured. The topics that are the best match for the query appear first in the search results.