chrome-aws-lambda
cheerio
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chrome-aws-lambda | cheerio | |
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12 | 48 | |
3,132 | 27,641 | |
- | 0.9% | |
0.0 | 9.7 | |
10 months ago | 1 day ago | |
TypeScript | TypeScript | |
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.
chrome-aws-lambda
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Lambdas vs EC2
Lambda would be my choice for this. You could even stay within the free tier depending how often you run this process. You can orchestrate puppeteer UI flows in lambda using this package https://github.com/alixaxel/chrome-aws-lambda My team does this and it works great.
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Building a PDF Generator using AWS Lambda
git clone --depth=1 https://github.com/alixaxel/chrome-aws-lambda.git && \ cd chrome-aws-lambda && \ make chrome_aws_lambda.zip
- Ask HN: What are the best tools for web scraping in 2022?
- Is it possible to use functions requiring a GPU in a serverless google cloud function?
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Dynamic Open Graph images with Next.js
When requesting the API route, the Next.js serverless function will actually spin up a web browser on the server (a headless instance of Chromium, using chrome-aws-lambda). Next, a webpage will be generated with HTML we can define ourselves. This HTML will be used to construct the image. That means that as a developer we can generate images using HTML and CSS, technologies we are already familiar with!
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How we keep our Serverless deploy times short and avoid headaches
This plugin is used for all our AWS Lambda deployments, using a wide range of Node modules, some with more quirks than others. We use it together with Lambda Layer Sharp and Chrome AWS Lambda.
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How to create a chrome profile programmatically in aws lambda?
I was able to successfully to run chrome with puppeteer in AWS Lambda for a similar use case. I used an "optimized" version of chrome packaged as an AWS Lambda Layer.
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Create PDF documents with AWS Lambda + S3 with NodeJS and Puppeteer
git clone --depth=1 https://github.com/alixaxel/chrome-aws-lambda.git && \ cd chrome-aws-lambda && \ make chrome_aws_lambda.zip
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chrome binary not found aws lambda
Simplest method use ]Puppeteer](https://blog.risingstack.com/pdf-from-html-node-js-puppeteer/) with chrome-aws-lambda.
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Puppeteer performance in AWS Lambda Docker containers
For example, we can use chrome-aws-lambda binaries. They were built to fit Lambda layers, so the size is much smaller than regular chrome installation.
cheerio
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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.
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I have an idea for a project and I wanna know which resources are available for me
[Cheerio](https://cheerio.js.org/) + Deno, feel like I am in browser...
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What's the most advanced, best maintained, most fully featured web scraper for node.js
cheerio actually works great for scraping even though it’s not advertised as so. It’s fast too.
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Why is it so much easier for people/clients to update their socials as opposed to their website? What’s the solution?
Not the most elegant solution, but maybe we could use something like cheerio to scrape each social media page periodically? You could host the service on Render or DigitalOcean with a small database that stores the correct values and the last time they were checked, and then serves them on one API for all your clients.
What are some alternatives?
jsdom - A JavaScript implementation of various web standards, for use with Node.js
puppeteer - Node.js API for Chrome
Electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
Prettyprint Object - Function to pretty-print an object with an ability to annotate every value.
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
terraform-aws-next-js - Terraform module for building and deploying Next.js apps to AWS. Supports SSR (Lambda), Static (S3) and API (Lambda) pages.
dot-prop - Get, set, or delete a property from a nested object using a dot path
husky - Git hooks made easy 🐶 woof!
node-fetch - A light-weight module that brings the Fetch API to Node.js
chrome-aws-lambda-layer - 58 MB Google Chrome to fit inside AWS Lambda Layer compressed with Brotli