Create, manage and deliver digital experiences
Enables you to get a report on the status of your Cloudinary account usage details, including storage, credits, bandwidth, requests, number of resources, and add-on usage. See the documentation
Lists resources (assets) uploaded to your product environment. See the documentation
Transforms images on-the-fly. It modifies them to any required format, style and dimension, resize and crop the images, etc. See the documentation
Transforms image or video resources on-the-fly. It allows transformation options for resource optimization (i.e. web viewing), resize and crop the resources, etc. Image transformation documentation. Video transformation documentation
Uploads media assets in the cloud such as images or videos, and allows configuration options to be set on the upload. See the documentation
The Cloudinary API empowers developers to manage media assets in the cloud with ease. It allows for uploading, storing, optimizing, and delivering images and videos with automated transformations to ensure the content is tailored for any device or platform. This API's versatility is key for automating workflows that require dynamic media handling, such as resizing images on-the-fly, converting video formats, or even extracting metadata for asset management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudinary: {
type: "app",
app: "cloudinary",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloudinary.com/v1_1/${this.cloudinary.$auth.cloud_name}/resources/image`,
auth: {
username: `${this.cloudinary.$auth.api_key}`,
password: `${this.cloudinary.$auth.api_secret}`,
},
})
},
})
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.