BeautifulSoup vs Portia Comparison | StackShare | StackShare

BeautifulSoup vs Portia

Overview

BeautifulSoup

Stacks82

Followers90

Votes4

Portia

Stacks26

Followers66

Votes0

GitHub Stars9.5K

Forks1.4K

BeautifulSoup vs Portia: What are the differences?

Developers describe BeautifulSoup as "A Python library for pulling data out of HTML and XML files". It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work. On the other hand, Portia is detailed as "Visual web scraping tool that lets you extract data without writing a single line of code". Portia is an open source tool that lets you get data from websites. It facilitates and automates the process of data extraction. This visual web scraper works straight from your browser, so you don't need to download or install anything.

BeautifulSoup and Portia can be categorized as "Web Scraping API" tools.

Portia is an open source tool with 7.16K GitHub stars and 1.14K GitHub forks. Here's a link to Portia's open source repository on GitHub.

Detailed Comparison

BeautifulSoup	Portia
It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.	Portia is an open source tool that lets you get data from websites. It facilitates and automates the process of data extraction. This visual web scraper works straight from your browser, so you don't need to download or install anything.
-	Extracts data from websites based on visual selections by the user; Creates generic web scrapers which are capable of extracting data from any web page with a similar structure; Exports scraped data in CSV, JSON, JSON-lines and XML; There is a hosted version available as a free service on Scrapy Cloud which lets Portia leverage from all the features of a cloud-based production platform including scaling and scheduling jobs, data storage, QA features, and add ons
Statistics
GitHub Stars -	GitHub Stars 9.5K
GitHub Forks -	GitHub Forks 1.4K
Stacks 82	Stacks 26
Followers 90	Followers 66
Votes 4	Votes 0
Pros & Cons
Pros 3 Parsed html even when poorly formed 1 It just works	No community feedback yet
Integrations
Selenium Python Linux Debian	No integrations available

What are some alternatives to BeautifulSoup, Portia?

import.io

import.io is a free web-based platform that puts the power of the machine readable web in your hands. Using our tools you can create an API or crawl an entire website in a fraction of the time of traditional methods, no coding required.

ParseHub

Web Scraping and Data Extraction ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. ParseHub lets you turn any website into a spreadsheet or API w

ScrapingAnt

Extract data from websites and turn them to API. We will handle all the rotating proxies and Chrome rendering for you. Many specialists have to handle Javascript rendering, headless browser update and maintenance, proxies diversity and rotation. It is a simple API that does all the above for you.

Octoparse

It is a free client-side Windows web scraping software that turns unstructured or semi-structured data from websites into structured data sets, no coding necessary. Extracted data can be exported as API, CSV, Excel or exported into a database.

Kimono

You don't need to write any code or install any software to extract data with Kimono. The easiest way to use Kimono is to add our bookmarklet to your browser's bookmark bar. Then go to the website you want to get data from and click the bookmarklet. Select the data you want and Kimono does the rest. We take care of hosting the APIs that you build with Kimono and running them on the schedule you specify. Use the API output in JSON or as CSV files that you can easily paste into a spreadsheet.

Apify

Apify is a platform that enables developers to create, customize and run cloud-based programs called actors that can, among other things, be used to extract data from any website using a few lines of JavaScript.

Scrapy

It is the most popular web scraping framework in Python. An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

Scraper API

ScraperAPI is a powerful and efficient web scraping API and tool designed to empower developers, data scientists, and businesses with reliable data extraction at scale.

ScrapingBot

It is an efficient tool to scrape data from a URL. It works particularly well on e-commerce product pages, real estate listings or even google ranking. Use the Live test on the Dashboard to test without coding.