npm

Node package manager

Integrate the npm API with the TinyPNG API

Setup the npm API trigger to run a workflow which integrates with the TinyPNG API. Pipedream's integration platform allows you to integrate npm and TinyPNG remarkably fast. Free for developers.

Compress Image with TinyPNG API on npm Download Counts from npm API
npm + TinyPNG
 
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Convert Image with TinyPNG API on npm Download Counts from npm API
npm + TinyPNG
 
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Resize Image with TinyPNG API on npm Download Counts from npm API
npm + TinyPNG
 
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npm Download Counts from the npm API

Emit an event with the latest count of downloads for an npm package

 
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Compress Image with the TinyPNG API

Compress a WebP, JPEG, or PNG image using the TinyPNG API. See the documentation

 
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Convert Image with the TinyPNG API

Convert your images to your desired image type using TinyPNG. See the documentation

 
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Resize Image with the TinyPNG API

Create resized versions of your uploaded image. See the documentation

 
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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

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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
  },
})