cheerio
Nokogiri
cheerio | Nokogiri | |
---|---|---|
50 | 20 | |
27,780 | 6,105 | |
0.5% | 0.2% | |
9.7 | 9.4 | |
8 days ago | 8 days ago | |
TypeScript | C | |
MIT License | MIT License |
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.
Nokogiri
- Web Scraping in Python – The Complete Guide
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Did you know Nokogiri now has opt-in HTML5 parsing?
release planning: v1.16.0 · Issue #2897 · sparklemotion/nokogiri
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As a Go developer, I’m surprised Crystal isn’t more popular
What's holding me back from going all in with Crystal is I have a lot of pre-existing Ruby code, and porting Ruby code to Crystal can be tricky. For example, Crystal lacks an Enumerator class (aka generators) due to captured block semantics. I also wish the shards ecosystem was a little more mature; for example there's multiple HTML parsing libraries, but none have all of the features that Ruby's Nokogiri has. For new greenfield backend projects, I would totally use Crystal.
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Two months into learning Ruby, it is the most beautiful language I ever learned
Welcome! Ruby isn't exactly "dying", but the hype/popularity is definitely fading. This is primarily because Ruby is no longer "new", most of Ruby's popularity came from Rails, and now Rails is no longer the "new hotness". However, Ruby still has lots of awesome features and lots of awesome other libraries and frameworks, such as the new fancy irb gem that uses reline, nokogiri, chunky_png, the async gems, Dragon Ruby, SciRuby, Ronin, and the new Hanami web framework.
- What should I be learning?
- Comparable maintained Kimurai alternative?
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In "Your Name" (2016), Mitsuha and Tesshi are seen turning a tree into their makeshift café, which is why one of the trees in the town is later missing
great for hacking at xml
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Ditch Your Version Manager
Mike has worked hard over the years to have Nokogiri come with its dependencies. It does come with libxml and all that is required.
From https://nokogiri.org
> These dependencies are met by default by Nokogiri's packaged versions of the libxml2 and libxslt source code, but a configuration option --use-system-libraries is provided to allow specification of alternative library locations.
Some authors work hard to have their tools do the right thing and consistently.
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Web scraping with rails
If the page is rendered as html you can use Nokogiri. It has great support and is pretty easy to get started with too.
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Nokogiri 1.12 supports HTML5 parsing (after assimilating Nokogumbo)
And even now, pulling in a Java-based HTML5 parser is still probably easier than re-implementing in FFI, which is why I created https://github.com/sparklemotion/nokogiri/issues/2227 and would love to have this the conversation there if possible.
What are some alternatives?
jsdom - A JavaScript implementation of various web standards, for use with Node.js
Oga - Oga is an XML/HTML parser written in Ruby.
puppeteer - Node.js API for Chrome
Ox - Ruby Optimized XML Parser
Electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
HTML::Pipeline - HTML processing filters and utilities
Prettyprint Object - Function to pretty-print an object with an ability to annotate every value.
Oj - Optimized JSON
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
ROXML - ROXML is a module for binding Ruby classes to XML. It supports custom mapping and bidirectional marshalling between Ruby and XML using annotation-style class methods, via Nokogiri or LibXML.
webworker-threads - Lightweight Web Worker API implementation with native threads
HappyMapper - Object to XML mapping library, using Nokogiri (Fork from John Nunemaker's Happymapper)