with Circle and TinyPNG?
Compress a WebP, JPEG, or PNG image using the TinyPNG API. See the documentation
Create a new post in a selected space within your Circle community. 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
The Circle API enables developers to tap into the heart of their Circle community platform, allowing them to read and write various types of community data programmatically. With this API, you can automate community management tasks, extract insights, manage members, and create a more dynamic and integrated community experience. By leveraging the Circle API within Pipedream's ecosystem, you can stitch together powerful workflows that react to events in Circle, push data to other services, and streamline community operations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
circle: {
type: "app",
app: "circle",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.circle.so/api/v1/me`,
headers: {
"Authorization": `Token ${this.circle.$auth.api_token}`,
},
})
},
})
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
},
})