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with Trello and TinyPNG?
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Popular Trello and TinyPNG Triggers#
Popular Trello and TinyPNG Actions#
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
Overview of Trello#
Trello's API lets you craft workflows around managing boards, lists, cards, and users. With Pipedream, you can automate Trello tasks, like syncing cards with external databases, updating checklists, and posting notifications to other platforms. It enables seamless connection with other apps, fostering productivity by automating routine board operations, card management, and team notifications.
Connect Trello#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trello: {
type: "app",
app: "trello",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.trello.com/1/members/me`,
}, {
token: {
key: this.trello.$auth.oauth_access_token,
secret: this.trello.$auth.oauth_refresh_token,
},
oauthSignerUri: this.trello.$auth.oauth_signer_uri,
})
},
})
Overview of TinyPNG#
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.
Connect TinyPNG#
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
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies