puppeteer VS cheerio

1.Puppeteer: Puppeteer is a Node library that provides a high-level API to control headless Chrome or Chromium using the DevTools Protocol. Key Features: More control over Chrome. Enables web scraping. Allows taking screenshots and generating PDFs for UI testing. Measures load times through the Chrome Performance Analysis tool

HTML to PDF conversion is a common requirement in modern web applications. It allows users to save web pages, reports, and other content in a format that is easy to share and print. There are many libraries and services available for converting HTML to PDF, each with its own strengths and weaknesses. In this article, we will compare some of the most popular HTML to PDF renderers in Node.js, including Puppeteer, Playwright, node-html-pdf, and Onedoc.

Playwright seems to be a superior library for working with headless browsers than Puppeteer, but I will go with Puppeteer.

Puppeteer is a Node library that provides a high-level API to control headless Chrome or Chromium. It's primarily used for browser automation, making it a powerful tool for end-to-end testing of web applications, taking screenshots, and generating pre-rendered content from web pages.

Puppeteer

Website: pptr.dev Repositório: GitHub

# Define variables PYTHON := python3 POETRY := poetry PYTEST := pytest PIP := pip3 PROJECT_NAME := web automation with Pyppeteer .PHONY: install install: $(POETRY) install @echo "Dependency installation complete" $(PIP) install -r requirements.txt @echo "Set env vars LT_USERNAME & LT_ACCESS_KEY" # Procure Username and AccessKey from https://accounts.lambdatest.com/security export LT_USERNAME=himansh export LT_ACCESS_KEY=Ia1MiqNfci .PHONY: install poetry-install: poetry install .PHONY: test test: export NODE_ENV = test .PHONY: test pyunit-pyppeteer: - echo $(EXEC_PLATFORM) - $(PYTHON) tests/pyunit-pyppeteer/test_pyunit_pyppeteer.py .PHONY: test pytest-pyppeteer: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s -n 2 tests/pytest-pyppeteer/test_pytest_pyppeteer_1.py \ tests/pytest-pyppeteer/test_pytest_pyppeteer_2.py .PHONY: test pyunit-pyppeteer-browser-session: - echo $(EXEC_PLATFORM) - $(PYTHON) tests/starting-browser-session/pyunit/test_pyppeteer_browser_session.py .PHONY: test pytest-pyppeteer-browser-session: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s \ tests/starting-browser-session/pytest/test_pyppeteer_browser_session.py .PHONY: test asyncio-run-pyppeteer-browser-session: - echo $(EXEC_PLATFORM) - $(PYTHON) tests/starting-browser-session/asyncio_run/test_pyppeteer_browser_session.py .PHONY: test asyncio-run-complete-pyppeteer-browser-session: - echo $(EXEC_PLATFORM) - $(PYTHON) tests/starting-browser-session/\ asyncio_run_until_complete/test_pyppeteer_browser_session.py .PHONY: test pyppeteer-button-click: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/button-click/test_page_class_click.py .PHONY: test pyppeteer-activate-tab: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/active-tab/test_page_class_bringtofront.py ###### Testing Custom Environment - https://miyakogi.github.io/pyppeteer/reference.html#environment-variables # Available versions: 113, 121, and default .PHONY: test pyppeteer-custom-chromium-version: - echo $(EXEC_PLATFORM) - echo 'Browser Version:' $(CHROMIUM_VERSION) - $(PYTEST) --verbose --capture=no -s tests/custom-configuration/test_launcher_exe_path.py ###### Testing Headless - https://miyakogi.github.io/pyppeteer/reference.html#launcher # Available values: headless and non-headless .PHONY: test pyppeteer-custom-browser-mode: - echo $(EXEC_PLATFORM) - echo $(BROWSER_MODE) - $(PYTEST) --verbose --capture=no -s tests/custom-configuration/test_launcher_headless.py .PHONY: test pyppeteer-generate-pdf: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/generate-pdf/test_page_class_pdf.py .PHONY: test pyppeteer-generate-screenshot: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/generate-screenshots/test_page_class_screenshot.py .PHONY: test pyppeteer-cookies: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/handling-cookies/test_page_class_cookies.py .PHONY: test pyppeteer-dialog-box: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/handling-dialog-box/test_handling_dialog_box.py .PHONY: test pyppeteer-iframe: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/handling-iframe/test_page_class_iframe.py # Like Puppeteer, Navigation operations mentioned below only work in Headless mode # goBack: https://miyakogi.github.io/pyppeteer/reference.html#pyppeteer.page.Page.goBack # goForward: https://miyakogi.github.io/pyppeteer/reference.html#pyppeteer.page.Page.goForward # Bug Link # https://github.com/puppeteer/puppeteer/issues/7739 # https://stackoverflow.com/questions/65540674/how-to-error-check-pyppeteer-page-goback .PHONY: test pyppeteer-navigate-ops: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/navigate-operations/test_page_class_navigation_ops.py .PHONY: test pyppeteer-request-response: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/request-response/test_page_class_req_resp.py .PHONY: test pyppeteer-viewport: - echo $(EXEC_PLATFORM) - echo $(BROWSER_MODE) - $(PYTEST) --verbose --capture=no -s tests/setting-useragent-viewports/\ test_page_class_useragent_viewport.py::test_mod_viewport .PHONY: test pyppeteer-non-headless-useragent: - echo $(EXEC_PLATFORM) - echo $(BROWSER_MODE) - $(PYTEST) --verbose --capture=no -s tests/setting-useragent-viewports/\ test_page_class_useragent_viewport.py::test_get_nonheadless_user_agent .PHONY: test pyppeteer-headless-useragent: - echo $(EXEC_PLATFORM) - echo $(BROWSER_MODE) - $(PYTEST) --verbose --capture=no -s tests/setting-useragent-viewports/\ test_page_class_useragent_viewport.py::test_get_headless_user_agent .PHONY: test pyppeteer-dynamic-content: - echo $(EXEC_PLATFORM) - echo $(BROWSER_MODE) - $(PYTEST) --verbose --capture=no -s -n 4 tests/handling-dynamic-content/\ test_page_class_lazy_loaded_content.py .PHONY: test pyppeteer-web-scraping: - echo $(EXEC_PLATFORM) - $(PYTEST) --verbose --capture=no -s tests/web-scraping-content/\ test_scraping_with_pyppeteer.py .PHONY: clean clean: # This helped: https://gist.github.com/hbsdev/a17deea814bc10197285 find . | grep -E "(__pycache__|\.pyc$$)" | xargs rm -rf rm -rf .pytest_cache/ @echo "Clean Succeeded" .PHONY: distclean distclean: clean rm -rf venv .PHONY: help help: @echo "" @echo "install : Install project dependencies" @echo "clean : Clean up temp files" @echo "pyunit-pyppeteer : Running Pyppeteer tests with Pyunit framework" @echo "pytest-pyppeteer : Running Pyppeteer tests with Pytest framework" @echo "pyunit-pyppeteer-browser-session : Browser session using Pyppeteer and Pyunit" @echo "pytest-pyppeteer-browser-session : Browser session using Pyppeteer and Pytest" @echo "asyncio-run-pyppeteer-browser-session : Browser session using Pyppeteer (Approach 1)" @echo "asyncio-run-complete-pyppeteer-browser-session : Browser session using Pyppeteer (Approach 2)" @echo "pyppeteer-button-click : Button click demo using Pyppeteer" @echo "pyppeteer-activate-tab : Switching browser tabs using Pyppeteer" @echo "pyppeteer-custom-chromium-version : Custom Chromium version with Pyppeteer" @echo "pyppeteer-custom-browser-mode : Headless and non-headless test execution with Pyppeteer" @echo "pyppeteer-generate-pdf : Generating pdf using Pyppeteer" @echo "pyppeteer-generate-screenshot : Generating page & element screenshots with Pyppeteer" @echo "pyppeteer-cookies : Customizing cookies with Pyppeteer" @echo "pyppeteer-dialog-box : Handling Dialog boxes with Pyppeteer" @echo "pyppeteer-iframe : Handling iFrames with Pyppeteer" @echo "pyppeteer-navigate-ops : Back & Forward browser operations with Pyppeteer" @echo "pyppeteer-request-response : Request and Response demonstration using Pyppeteer" @echo "pyppeteer-viewport : Customizing viewports using Pyppeteer" @echo "pyppeteer-non-headless-useragent : Customizing user-agent (with browser in headed mode) using Pyppeteer" @echo "pyppeteer-headless-useragent : Customizing user-agent (with browser in headless mode) using Pyppeteer" @echo "pyppeteer-dynamic-content : Handling dynamic web content using Pyppeteer" @echo "pyppeteer-web-scraping : Dynamic web scraping using Pyppeteer"

This library works by creating an instance of WhatsApp web running inside an instance of headless chrome automated by puppeteer. In my testing, I ran into tons of compatibility issues when trying to use these dependencies inside anything other than a bare-bones Node.js + express server. Also, we can’t spin up a new instance of chrome and WhatsApp web each time a user sends a message, this will exhaust our allowed WhatsApp connections (4 max), not to mention that doing this will make the response times painfully slow.

It's a tricky balance to strike. Obviously, krono, you're right: ff we're being generous the app launch GA tracker they use, they probably consider it shares nothing of value or identifiable, but strictly speaking it's not true that no data shared.

I think the audit you do is actually valuable. In my company's product, BrowserBox^0 (also a browser, funnily enough! focused on remote isolation, privacy & security, and including Tor support), we don't collect anything but we want to add some kind of telemetry regarding usage so we can even basically know how many daily users we have (outside of licensed channels where it's tracked in the contract).

Even tho we don't collect anything, we don't advertise "Zero data collection" anywhere, because of how sensitive I think this topic is. I think we really need to be solid on it, if we're going to say that. And to cover us, in the privacy policy, we say "we may collect some data for operational purposes to ensure the continued running of the service" (paraphrasing), even tho we don't.

One niggle is that we use Chrome in headless mode (can also use Edge / Chromium), and while we appreciate the auto updating quality that Chrome has for security patches, we're cautious that maybe Chrome still collects telemetry and sends it to Google even with headless and correct flags (see for instance: https://github.com/puppeteer/puppeteer/blob/afb7d9eb5854e851...)

I know it's not your job...but what's your advice on how to proceed specifically?

0: https://github.com/BrowserBox/BrowserBox

If you've read my previous blog posts or ever experimented with Secutils.dev, you might be familiar with the web resources tracking utility. This utility allows you to monitor changes in web page resources, specifically JavaScript and CSS. While it has a somewhat narrow security-focused purpose — detecting broken or tampered web application deployments — it may not be the type of tool you use daily. Nevertheless, it serves as a good example of what you can build with modern browser automation tools like Playwright and Puppeteer. If you're interested in digging deeper into this specific utility, refer to the following blog post series:

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.

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.

[Cheerio](https://cheerio.js.org/) + Deno, feel like I am in browser...