ZingGrid
DataTables
Handsontable
AG Grid
FancyGrid
jqGrid
Backgrid.js
Dash DataTable
Scrapy
Apify
ParseHub
Scraper API
Octoparse
import.io
Portia
Zyte
ZingGrid is web component-based JavaScript library for data grids & tables with lots of built-in features and tons of out-of-the-box functionality. Whether you're looking for built-in interactivity like CRUD, data sorting and filtering, or a mobile-friendly solution for simple data visualization – ZingGrid gives you the flexibility to choose exactly the features you need for your next project.
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ZingGrid's answer
Standard web platform using vanilla JavaScript and relying on the web components API so it is agnostic to framework use.
ZingGrid's answer
We had built ZingChart, which is used by numerous small and large organizations worldwide, and wanted to address the other aspects of data presentation outside of charting. Given our emphasis at the time of long lived software we opted to go close to web platform and that is why we implemented it as a web component so early.
ZingGrid's answer
Web standards-focused, framework agnostic, very easy to tie it to a REST or GraphQL endpoint, lots of hooks for customization, and very easy to get started with
ZingGrid's answer
Web developers and web designers looking for a data table or data grid solution for their site or application and not wanted to get locked into a non webstandards solution
ZingGrid's answer
It's the first web component specific advanced datagrid on market and very focused on making common development tasks incredibly easy.
Based on our record, Scrapy seems to be more popular. It has been mentiond 95 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Using Scrapy I fetched the data needed (activities and attendance). Scrapy handled authentication using a form request in a very simple way:. - Source: dev.to / 19 days ago
Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / about 2 months ago
While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / 7 months ago
If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting). Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many... - Source: Hacker News / 12 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: about 1 year ago
DataTables - DataTables is a plug-in for the jQuery Javascript library.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Handsontable - JavaScript Spreadsheet
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
AG Grid - The best HTML5 datagrid in the world
Scraper API - Easily build scalable web scrapers
