Scrapy VS Highcharts

Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Highcharts

A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Landing page //
2021-10-11

Landing page //
2023-03-16

Python Scrapy Tutorial - 22 - Web Scraping Amazon

Highcharts videos

+ Add

Angular 2 & HighCharts Quick-Tip: Dynamic Data & Draggable Points (2016)

Category Popularity

0-100% (relative to Scrapy and Highcharts)

Highcharts

Web Scraping

100 100%

Web Scraping

0% 0

Charting Libraries

0 0%

Charting Libraries

100% 100

Data Extraction

100 100%

Data Extraction

0% 0

Data Dashboard

0 0%

Data Dashboard

100% 100

User comments

Share your experience with using Scrapy and Highcharts. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scrapy and Highcharts

Scrapy Reviews

Top 15 Best TinyTask Alternatives in 2022

The software is simply deployable via the cloud, or you can host the spiders on your server using Scrapy. Only the rules need to be written; Scrapy will take care of the rest to separate the facts. With Scrapy’s portability and ability to run on Windows, Linux, Mac, and BSD platforms, new features can be added without affecting the program’s core.

Source: www.dashtech.org

Highcharts Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023

However, you might need to pay for additional packages to get exactly what you’re looking for. The Highcharts Core package includes all the essentials (like line, bar, area, and pie charts) but Maps, Gantt, and Stock chart packages are all extra. In terms of cost, this makes Highcharts somewhat less scalable, depending on the budget available for your project.

Source: embeddable.com

15 JavaScript Libraries for Creating Beautiful Charts

Highcharts is another very popular library for building graphs. It comes loaded with many different types of cool animations that are sufficient to attract many eyeballs to your website. Just like other libraries, Highcharts comes with many pre-built graphs like spline, area, areaspline, column, bar, pie, scatter, etc. The charts are responsive and mobile-ready. Besides,...

Source: www.sitepoint.com

Best Data Visualization Tools

For companies that want to embed interactive visualizations in their online content, look no further than Datawrapper. Highcharts is another great option for embedding interactive content into your sites, though it’s not as easy for non-specialists as Datawrapper.

Source: neilpatel.com

Top 10 JavaScript Charting Libraries for Every Data Visualization Need

Highcharts is one of the most comprehensive and popular JavaScript charting libraries based on HTML5, rendering in SVG/VML. It is lightweight, supports a wide range of diverse chart types, and ensures high performance.

Source: hackernoon.com

The Best Data Visualization Tools - Top 30 BI Software

Highcharts is a battle-tested SVG-based, multi-platform charting library that has been actively developed since 2009. Its JavaScript API integrates easily, and features robust documentation, advanced responsiveness and industry-leading accessibility support. You can add interactive, mobile-optimized charts to your web and mobile projects. Charts are rendered in SVG and a VML...

Source: improvado.io

Social recommendations and mentions

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.

Scrapy mentions (95)

Analyzing Svenskalag Data using DBT and DuckDB
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 Vs. Crawlee
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
What is SERP? Meaning, Use Cases and Approaches
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
Creating an advanced search engine with PostgreSQL
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
What do .NET devs use for web scraping these days?
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