cheerio VS redux-devtools

Cheerio is your ticket to the world of server-side magic, allowing you to manipulate HTML and XML documents with jQuery-like syntax. It’s perfect for web scraping, data extraction, or just making sense of the mess that is web content. With Cheerio, you get to play around with the DOM, use CSS selectors, and basically do all the cool things you'd do in the browser, but server-side.

In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.

Used libraries Axios - it is a promise HTTP clients to make requests to the specified URL. Cheerio- it is a library for parsing and manipulating HTML that is commonly used here for extracting data from downloaded HTML content. Apify SDK- it is for building Apify Actors, that is utilized for initializing actor environments, getting input data, and pushing extracted data to the dataset.

Nice. I've used Cheerio for this in the past: https://github.com/cheeriojs/cheerio?tab=readme-ov-file#sele...

For this article, I will be using the TypeScript Starter template as shown in the screenshot above. This comes with Nodejs, Cheerio, Axios

> I'm not sure why Python web scraping is so popular compared to Node.js web scraping

Take this with a grain of salt, since I am fully cognizant that I'm the outlier in most of these conversations, but Scrapy is A++ the no-kidding best framework for this activity that has been created thus far. So, if there was scrapyjs maybe I'd look into it, but there's not (that I'm aware of) so here we are. This conversation often comes up in any such "well, I just use requests & ..." conversation and if one is happy with main.py and a bunch of requests invocations, I'm glad for you, but I don't want to try and cobble together all the side-band stuff that Scrapy and its ecosystem provide for me in a reusable and predictable way

Also, often those conversations conflate the server side language with the "scrape using headed browser" language which happens to be the same one. So, if one is using cheerio <https://github.com/cheeriojs/cheerio> then sure node can be a fine thing - if the blog post is all "fire up puppeteer, what can go wrong?!" then there is the road to ruin of doing battle with all kinds of detection problems since it's kind of a browser but kind of not

I, under no circumstances, want the target site running their JS during my crawl runs. I fully accept responsibility for reproducing any XHR or auth or whatever to find the 3 URLs that I care about, without downloading every thumbnail and marketing JS and beacon and and and. I'm also cognizant that my traffic will thus stand out since it uniquely does not make the beacon and marketing calls, but my experience has been that I get the ban hammer less often with my target fetches than trying to pretend to be a browser with a human on the keyboard/mouse but is not

Web scraping is a powerful technique used to extract data from websites. In this tutorial, we'll explore how to perform web scraping using Node.js, Axios for making HTTP requests,Cheerio for parsing HTML content and also json2csv for converting json data to csv. We'll scrape product data from a sample website, "https://scrapeme.live/shop/".

Web scraping, while immensely useful, often requires developers to navigate a sea of tools and libraries, each with its own quirks and intricacies. Whether it's JSDOM, Cheerio, Playwright, or even just plain old vanilla JS in the DevTools console, moving between these platforms can be a challenge.

While looking for a way to implement capo.js in BigQuery to understand how pages in HTTP Archive are ordered, I came across the Cheerio library, which is a jQuery-like interface over an HTML parser.

Cheerio is a JavaScript tool for parsing HTML and XML in Node.js. It provides APIs for traversing and manipulating the DOM of a webpage.

Also, you should use redux-devtools extension to get the most out of any react-redux-based project.

Use NgRx's action stream as a logging solution. Dispatch actions instead of logging. You don't have to worry about the state management part or anything either. Add the store-devtools package along with the base store package. It'll let you configure only logging while in development mode and a few other options. Then, install the Redux Devtools extension into your browser. That will give you a view of the dispatched actions and any data you want to pass along with them. It has a filter, so you can tag your actions like you normally would as described in the docs. Like, "[Log Level] [Feature] log message". Then, filter them in the dev tools to see just what you want. You can see a screenshot of it here. You may even like some of its other features and maybe you'll pick up more of the pattern as you see fit.

Redux DevTools is a browser extension that allows developers to inspect and debug Redux stores. This tool helps developers to track state changes, actions, and other data related to the Redux store. You can download it from its official GitHub repository: https://github.com/reduxjs/redux-devtools.

Redux dev tools

You can still keep your custom hooks in separate files, maybe in a folder called state. You could migrate to a state library when things start to seem unmanageable, or when you want one of the many cool features that a state library can offer, like automatically persisting parts of state to your user's storage using middleware (Redux docs, Zustand docs), easily managing API connections and query caching with RTK Query, or having a log of every state change with the ability to revert/go back in time to debug state changes with Redux Devtools (also works with Zustand).

With the redux-devtools-extension, we can now easily see all the actions that have been dispatched, as well as the current state of our store. This extension also allows us to time travel, meaning we can go back and forth through different states to see how our application got to where it is, as shown in the image below.

We need to see your RECEIVE_BENCHES action creator as well as dispatch call to tell you more. You should inspect what is going on in your reducer, either by setting a breakpoint in your editor's debug mode, by using Redux DevTools (https://github.com/reduxjs/redux-devtools), or simply by writing dirty console.log and debugger calls.

When an action is dispatched, all of the reducers will be notified and every single one of them will check if they can handle the action. Not only that, but the Redux dev tools will be a mess trying to see what action was fired when. That’s why we should try to think of actions as events that happened and not what the action is changing. For example, we should rather have an action called userLoggedIn than setUserId.