Online file conversion website.
Emit new event when a conversion job has completed. See the documentation
Emit new event when a file has been converted successfully. See the documentation
Emit new event as soon as a conversion job has been completed. See the documentation
Creates a file from the provided content. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Finds the file that has been processed under the specified job id. See the documentation
Starts a conversion job and upload a source file in a single request. See the documentation
The Zamzar API on Pipedream provides powerful file conversion capabilities, allowing you to easily automate the process of converting files between different formats. With Pipedream's serverless platform, you can set up workflows that trigger conversions, handle the completed files, and integrate with other services for a seamless automation experience. From document conversion for data analysis to prepping media files for different platforms, Zamzar's API coupled with Pipedream's robust functionality opens up a world of possibilities for streamlining tasks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zamzar: {
type: "app",
app: "zamzar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.zamzar.com/v1/account`,
auth: {
username: `${this.zamzar.$auth.api_key}`,
password: ``,
},
})
},
})
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}}