cheerio
estela
cheerio | estela | |
---|---|---|
50 | 10 | |
27,801 | 154 | |
0.5% | 2.0% | |
9.7 | 8.1 | |
about 20 hours ago | 3 months ago | |
TypeScript | Python | |
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
-
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.
-
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.
-
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.
-
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...
-
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
-
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
-
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/".
-
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.
-
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.
-
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.
estela
-
Struggling to scrape specific website - any advice?
This solution is using requests, you can also do this in scrapy, and if you are planning to run more crawlers you can use estela which is a spider management solution.
-
How to run webs scraping script every 15 minutes
You may want to check out [estela](https://estela.bitmaker.la/docs/), which is a spider management solution, developed by [Bitmaker](https://bitmaker.la) that allows you to run [Scrapy](https://scrapy.org) spiders.
-
Deploying Scrapy Projects on the Cloud
We are currently running a closed beta of Bitmaker Cloud (free and unlimited). Bitmaker Cloud gives you easy management of scraping workloads via a web dashboard and API. Only Scrapy spiders are supported at the moment (additional languages/frameworks are on the roadmap). Bitmaker Cloud is powered by estela, an elastic web scraping cluster running on Kubernetes. estela is a modern alternative to proprietary platforms such as Scrapy Cloud, as well as OSS projects such as scrapyd. The source code of estela and estela-cli is available on Github.
-
What's new in the Webscraping Ecosystem ? from OxyCon 2022
Estela: A webscraping framework on to of Kubernetes, which manage scaling (by Breno Colom)
- estela, an OSS elastic web scraping cluster
- Show HN: estela, a modern elastic web scraping cluster
-
Ask HN: What are the best tools for web scraping in 2022?
We released estela for this and other purposes, check it out, maybe it will suit your needs:
https://github.com/bitmakerla/estela
Only Scrapy support atm, but additional scraping frameworks/language are on the roadmap. Would be good to know which ones to prioritize over others :-)
What are some alternatives?
jsdom - A JavaScript implementation of various web standards, for use with Node.js
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.
puppeteer - Node.js API for Chrome
colly - Elegant Scraper and Crawler Framework for Golang
Electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
wi-page - Rank Wikipedia Article's Contributors by Byte Counts.
Prettyprint Object - Function to pretty-print an object with an ability to annotate every value.
pup - Parsing HTML at the command line
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
linkedom - A triple-linked lists based DOM implementation.
webworker-threads - Lightweight Web Worker API implementation with native threads
crawlee - Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.