cheerio
Faker.js
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cheerio | Faker.js | |
---|---|---|
50 | 66 | |
27,749 | 1,569 | |
0.8% | - | |
9.7 | 1.7 | |
8 days ago | over 2 years ago | |
TypeScript | JavaScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cheerio
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8 NPM Packages for JavaScript Beginners [2024][+tutorials]
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.
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How to scrape Amazon products
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.
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Creating and deploying web scraper using Apify
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.
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Htmlq: Like Jq, but for HTML
Nice. I've used Cheerio for this in the past: https://github.com/cheeriojs/cheerio?tab=readme-ov-file#sele...
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Automating Data Collection with Apify: From Script to Deployment
For this article, I will be using the TypeScript Starter template as shown in the screenshot above. This comes with Nodejs, Cheerio, Axios
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Web Scraping in Python – The Complete Guide
> 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
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Web Scraping in Node.js Using Axios,Cheerio and Json2csv
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/".
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Portadom: A Unified Interface for DOM Manipulation
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.
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Querying parsed HTML in BigQuery
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.
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JavaScript Web Crawler with Node.js: A Step-By-Step Tutorial
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.
Faker.js
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JavaScript News and Updates of January 2022
Early this month, the malicious attack on free-to-use libraries, namely color.js and faker.js, created a real uproar in the development community. These tools are used in thousands of projects and their downloading rate from npm is estimated in millions per week. To everyone’s surprise, it turned out to be an inside job. Marak Squires, the creator of these libraries, intentionally committed malicious code to his projects and published updated codebases on GitHub and npm. It is said that this sabotage was caused by unsuccessful attempts of Mr. Squires to monetize his projects. Fortunately, malicious packages were quickly removed and the attacker’s account was suspended. The story sparked a new wave of discussion in the development community on possible steps to make the development and maintenance of open-source projects more sustainable.
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Unofficial Faker.js fork positions itself as official successor and assumes name and Open Collective sponsors
For anyone else curious about the allusion to Aaron Swartz, it can be found here and reads (as of posting):
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This is not normal.
Sorry little boy--- I needed to update my LinkedIn profile, hire a professional to write my resume and photograph me, and work on an open-source project no one will use (or worse- work on something everyone uses)"
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Is there something wrong with OpenSource model?
So people, I've been reading the news regarding some great packages on GitHub, like the Colors and the Faker. I understand that this isn't related entirely with the linux community, but it is something that we should pay attention.
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Re: the faker.js debacle: A daily reminder that htmx & hyperscript are dependency free
A developer appears to have purposefully corrupted a pair of open-source libraries on GitHub and software registry npm — “faker.js” and “colors.js” — that thousands of users depend on, rendering any project that contains these libraries useless, as reported by Bleeping Computer.
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Open source developer corrupts widely-used libraries, affecting tons of projects
I mean he also maliciously changed all of the links on a faker.js issue to point to conspiracy theories (which I am pretty sure is against Github's TOS): https://github.com/Marak/faker.js/pull/2
- What happened with fakerjs
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The EndGame - Fakerjs
About Four (4) Days Ago, the Author of Fakerjs a popular JavaScript library with more than 2 million weekly Download from NPM Deleted the repository and replaced it with one that only has the modified ReadMe "What really happened with Aaron Swartz?" and no content, and pushed an empty package to npm as the latest version (6.6.6).
- Marak, creator of faker.js who recently deleted the project due to lack of funding and abuse of open source projects/developers pushed some strange Anti American update which has an infinite loop
- Marak adds infinite loop test to popular colors.js
What are some alternatives?
jsdom - A JavaScript implementation of various web standards, for use with Node.js
jest-playwright - Running tests using Jest & Playwright
puppeteer - Node.js API for Chrome
simplecrawler - Flexible event driven crawler for node.
Electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
casual - Fake data generator for javascript
Prettyprint Object - Function to pretty-print an object with an ability to annotate every value.
fake-store-api - FakeStoreAPI is a free online REST API that provides you fake e-commerce JSON data
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
webworker-threads - Lightweight Web Worker API implementation with native threads
msw - Seamless REST/GraphQL API mocking library for browser and Node.js.