BitBucket
Version control repository hosting service
Integrate the BitBucket API with the Go API
Setup the BitBucket API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate BitBucket and Go remarkably fast. Free for developers.
Popular BitBucket and Go Triggers#
Emit new event when a new commit is pushed to a branch. See docs here
Emit new event when a new pull request is created in a repository. See docs here
Emit new event when a new branch is created. See docs here
Emit new event when a commit receives a comment. See docs here
Emit new event when an event occurs from any repository belonging to the user. See docs here
Popular BitBucket and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Gets the actual file contents of a download artifact and not the artifact's metadata. See docs here
Overview of BitBucket#
With the BitBucket API, you can programmatically interact with BitBucket, via
REST calls. This allows you to build apps and integrations on top of BitBucket,
customize and automate your workflows, and much more.
Here are some examples of what you can build with the BitBucket API:
- Build integrations with 3rd party applications, such as CI/CD tools, chat
applications, etc. - Create custom workflows and automate tasks
- Build applications that interact with BitBucket (for example, a tool that
helps you find repositories or users) - and much more!
Connect BitBucket#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitbucket: {
type: "app",
app: "bitbucket",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bitbucket.org/2.0/user`,
headers: {
Authorization: `Bearer ${this.bitbucket.$auth.oauth_access_token}`,
},
})
},
})
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}