Dropbox gives you secure access to all your files. Collaborate with friends, family, and coworkers from any device.
Emit new event when a new file is added to your account or a specific folder. Make sure the number of files/folders in the watched folder does not exceed 4000.
Emit new event when a new folder is created. Make sure the number of files/folders in the watched folder does not exceed 4000.
Emit new event when a file or folder is added or modified. Make sure the number of files/folders in the watched folder does not exceed 4000.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a brand new text file from plain text content you specify. See the documentation
Adds a new line to an existing text file, or creates a file if it doesn't exist. See the documentation
Creates or updates a public share link to the file or folder (It allows you to share the file or folder with anyone). See the documentation
The Dropbox API on Pipedream enables you to automate file and folder operations, streamlining workflows that involve storing, syncing, and sharing content. With this API, you can programmatically manage files, set up event-driven triggers based on changes within Dropbox, and leverage Pipedream's capabilities to connect with hundreds of other apps for extended automation scenarios. It's ideal for building custom file management solutions, archiving systems, or collaborative content workflows without writing extensive code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dropbox: {
type: "app",
app: "dropbox",
}
},
async run({steps, $}) {
const data = {
"account_id": `${this.dropbox.$auth.oauth_uid}`,
}
return await axios($, {
method: "post",
url: `https://api.dropboxapi.com/2/users/get_account`,
headers: {
Authorization: `Bearer ${this.dropbox.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
},
data,
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}