Defaults to /.local-chromium, where is Puppeteer's package root. PUPPETEER_DOWNLOAD_PATH - overwrite the path for the downloads folder.Note: this includes protocol and might even include path prefix. PUPPETEER_DOWNLOAD_HOST - overwrite URL prefix that is used to download Chromium.PUPPETEER_TMP_DIR - defines the directory to be used by Puppeteer for creating temporary files.PUPPETEER_SKIP_CHROMIUM_DOWNLOAD - do not download bundled Chromium during installation step.

HTTP_PROXY, HTTPS_PROXY, NO_PROXY - defines HTTP proxy settings that are used to download and run the browser.If Puppeteer doesn't find them in the environment during the installation step, a lowercased variant of these variables will be used from the npm config. Puppeteer looks for certain environment variables to aid its operations. For a version of Puppeteer purely for connection, see puppeteer-core. log( 'CHILD: url received from parent process', url) Ĭonst browser = await puppeteer.When you install Puppeteer, it downloads a recent version of Chromium (~170MB Mac, ~282MB Linux, ~280MB Win) that is guaranteed to work with the API (customizable through Environment Variables). The code snippet below is a simple example of running parallel downloads with Puppeteer.Ĭonst downloadPath = path. 💡 If you are not familiar with how child process work in Node I highly encourage you to give this article a read. We can combine the child process module with our Puppeteer script and download files in parallel. Child process is how Node.js handles parallel programming. We can fork multiple child_proces in Node. Our CPU cores can run multiple processes at the same time. 💡 Learn more about the single threaded architecture of node here Therefore if we have to download 10 files each 1 gigabyte in size and each requiring about 3 mins to download then with a single process we will have to wait for 10 x 3 = 30 minutes for the task to finish. It can only execute one process at a time.

You see Node.js in its core is a single-threaded system.

However, if you have to download multiple large files things start to get complicated. In this next part, we will dive deep into some of the advanced concepts.

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