![]() log( "CHILD: url received from parent process", url) Ĭonst browser = await puppeteer. 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. Scraping can be time-consuming sometimes, but you can use this pre-cooked structured JSON data which makes your work easier, and also you dont have to maintain the Google CSS selectors from time to time which is a big headache. Serpdog also offers 100 free credits on the first signup. We can combine the child process module with our Puppeteer script and download files in parallel. You can use Google Search API by Serpdog. Example JS app Lets start with a dynamic page that generates its HTML via JavaScript: public/index. 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. Its APIs make it possible to take a client-side app and prerender (or 'SSR') its markup. Child process is how Node.js handles parallel programming. If youre in Node, Puppeteer is an easy way to work with headless Chrome. 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. I don't understand what's causing it.Const browser = await puppeteer. When I pass in a specific request, it doesn't return the list of links. Below is the code I'm trying to use for web scraping Google.
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