with Bird and TinyPNG?
Emit new event when a new SMS message is received. See the documentation
Compress a WebP, JPEG, or PNG image using the TinyPNG API. See the documentation
Convert your images to your desired image type using TinyPNG. See the documentation
Create resized versions of your uploaded image. See the documentation
Message Bird is a communications platform offering a suite of API solutions for sending messages, making voice calls, and conducting video conferences. With Pipedream, you can harness these capabilities to automate personalized notifications, streamline customer support, and facilitate global communication workflows. Message Bird's API on Pipedream allows you to send real-time alerts, trigger voice messages based on customer actions, and integrate with other services to create powerful, multi-channel communication systems.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
message_bird: {
type: "app",
app: "message_bird",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://rest.messagebird.com/balance`,
headers: {
"Authorization": `AccessKey ${this.message_bird.$auth.access_key}`,
},
})
},
})
The TinyPNG API lets you compress and optimize image files efficiently. With this API, you can shrink the size of PNG and JPEG files without a noticeable loss in quality, making it a crucial tool for improving website load times and saving bandwidth. On Pipedream, you can automate image optimization workflows, harnessing the power of TinyPNG to process batches of images, integrate with CMS platforms, trigger optimizations from various events, and more.
module.exports = defineComponent({
props: {
tinypng: {
type: "app",
app: "tinypng",
}
},
async run({steps, $}) {
const results = await require("@pipedream/platform").axios($, {
method: "post",
url: `https://api.tinify.com/shrink`,
auth: {
username: `api:${this.tinypng.$auth.api_key}`,
password: ``,
},
data: {
"source": {
"url": "https://tinypng.com/images/panda-happy.png"
}
},
})
const retVal = results.output
retVal.original_image_metadata = results.input
return retVal
},
})