Software Alternatives, Accelerators & Startups

Apify VS Haskell

Compare Apify VS Haskell and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Apify logo Apify

Apify is a web scraping and automation platform that can turn any website into an API.

Haskell logo Haskell

An advanced purely-functional programming language
  • Apify Landing page
    Landing page //
    2023-09-30

Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.

  • Haskell Landing page
    Landing page //
    2023-05-01

We recommend LibHunt Haskell for discovery and comparisons of trending Haskell projects.

Apify features and specs

  • Ease of Use
    Apify provides a user-friendly interface that makes it easy for users of all technical levels to create and manage web scraping tasks.
  • Scalability
    Apify is built to handle tasks of various sizes, from small-scale projects to enterprise-level operations, making it a scalable solution.
  • Integration and API Support
    It offers extensive API support, allowing for seamless integration with other tools and systems to enhance automated workflows.
  • Customizability
    Users can customize their scraping bots (actors) with different settings and scripts to fit specific needs and requirements.
  • Cloud-based
    Being a cloud-based platform, Apify allows users to run their scraping tasks without needing local resources, which is convenient and efficient.
  • Comprehensive Documentation
    Apify provides thorough documentation and tutorials, which help users get started quickly and solve issues efficiently.
  • Community and Support
    Apify has an active community and solid customer support to assist users with their needs and enhance their overall experience.

Possible disadvantages of Apify

  • Learning Curve
    While the interface is user-friendly, there may still be a learning curve for those new to web scraping and automation.
  • Cost
    Apify can be expensive compared to other web scraping tools, particularly for extensive use cases that require high volumes of data.
  • Dependency on External Factors
    Web scraping often depends on the stability of the target websites. Changes in website structures can break scripts, requiring ongoing maintenance.
  • Performance Limitations
    The performance of cloud-based scraping tasks can be affected by network latency and other external factors beyond user control.
  • Potential Legal Issues
    Web scraping can raise legal concerns, particularly when scraping data from websites that restrict such activities in their terms of service.
  • Resource Intensity
    Complex scraping tasks can be resource-intensive, potentially requiring higher-tier subscriptions and more computing resources, driving up costs.

Haskell features and specs

  • Pure Functional Programming
    Haskell emphasizes pure functional programming, meaning functions have no side effects. This leads to code that is easier to understand, test, and maintain.
  • Strong Type System
    Haskell's type system is strong and expressive, allowing developers to catch many errors at compile time. This results in more reliable code.
  • Lazy Evaluation
    Haskell uses lazy evaluation by default, which can lead to performance improvements by avoiding unnecessary computations and enabling the creation of infinite data structures.
  • Immutability
    In Haskell, data is immutable by default. This leads to simpler reasoning about code behavior and reduces bugs related to mutable state.
  • High-Level Abstractions
    Haskell provides powerful abstractions like monads, functors, and applicative functors, which can lead to more concise and expressive code.
  • Concurrency
    Haskell has excellent support for concurrency and parallelism through its lightweight threading model and software transactional memory, making it suitable for concurrent applications.
  • Community and Libraries
    Haskell has a dedicated community and a rich set of libraries and tools, which can help accelerate development and provide solutions to common problems.

Possible disadvantages of Haskell

  • Steep Learning Curve
    Haskell has a steep learning curve, particularly for developers who are new to functional programming or coming from imperative and object-oriented backgrounds.
  • Performance Concerns
    While Haskell can be efficient, its performance can sometimes lag behind other languages like C++ or Rust for certain use cases, especially those requiring low-level optimization.
  • Limited Industry Adoption
    Haskell is not as widely adopted in industry compared to languages like Java, Python, or JavaScript, which can limit job opportunities and community size.
  • Compilation Times
    Haskell's compilation times can be long, especially for large projects, which can slow down the development process.
  • Tooling and IDE Support
    While improving, the tooling and IDE support for Haskell is not as mature as for some other popular languages, potentially affecting developer productivity.
  • Complexity of Advanced Features
    Some of Haskell's advanced features, such as monads and type-level programming, can be complex and difficult to master, which can be a barrier for new developers.
  • Library Gaps
    Although Haskell has many libraries, there might be gaps or less mature libraries for some specific use cases compared to more mainstream languages.

Apify videos

Apify product news - 2019/01/30

Haskell videos

Functional Programming & Haskell - Computerphile

More videos:

  • Review - Marloe Haskell Review
  • Review - Marloe Watch Company - Haskell - Watch Review

Category Popularity

0-100% (relative to Apify and Haskell)
Web Scraping
100 100%
0% 0
Programming Language
0 0%
100% 100
Data Extraction
100 100%
0% 0
OOP
0 0%
100% 100

User comments

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Reviews

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

Apify Reviews

Top 15 Best TinyTask Alternatives in 2022
This is another tinytask alternative. For you to link various web services and APIs, Apify has provided many web integration options. You can add data processing and customised computation processes in addition to letting the data flow between them. With the data that is freely accessible on the web, you may provide crucial insights, and easy lead creation allows you to...

Haskell Reviews

We have no reviews of Haskell yet.
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Social recommendations and mentions

Apify might be a bit more popular than Haskell. We know about 26 links to it since March 2021 and only 21 links to Haskell. 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.

Apify mentions (26)

  • How to scrape TikTok using Python
    For deployment, we'll use the Apify platform. It's a simple and effective environment for cloud deployment, allowing efficient interaction with your crawler. Call it via API, schedule tasks, integrate with various services, and much more. - Source: dev.to / 15 days ago
  • How to scrape Bluesky with Python
    We already have a fully functional implementation for local execution. Let us explore how to adapt it for running on the Apify Platform and transform in Apify Actor. - Source: dev.to / about 2 months ago
  • Web scraping with GPT-4o: powerful but expensive
    We've had the best success by first converting the HTML to a simpler format (i.e. markdown) before passing it to the LLM. There are a few ways to do this that we've tried, namely Extractus[0] and dom-to-semantic-markdown[1]. Internally we use Apify[2] and Firecrawl[3] for Magic Loops[4] that run in the cloud, both of which have options for simplifying pages built-in, but for our Chrome Extension we use... - Source: Hacker News / 8 months ago
  • Current problems and mistakes of web scraping in Python and tricks to solve them!
    Developed by Apify, it is a Python adaptation of their famous JS framework crawlee, first released on Jul 9, 2019. - Source: dev.to / 9 months ago
  • Show HN: Crawlee for Python – a web scraping and browser automation library
    Hey all, This is Jan, the founder of [Apify](https://apify.com/)—a full-stack web scraping platform. After the success of [Crawlee for JavaScript](https://github.com/apify/crawlee/) today! The main features are: - A unified programming interface for both HTTP (HTTPX with BeautifulSoup) & headless browser crawling (Playwright). - Source: Hacker News / 10 months ago
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Haskell mentions (21)

  • Is there a programming language that will blow my mind?
    Haskell - a general-purpose functional language with many unique properties (purely functional, lazy, expressive types, STM, etc). You mentioned you dabbled in Haskell, why not try it again? (I've written about 7 things I learned from Haskell, and my book is linked at them bottom if you're interested :) ). Source: almost 2 years ago
  • Where to go from here?
    Where you go is entirely up to you. According to haskell.org, Haskell jobs are a-plenty. sigh. Source: about 2 years ago
  • Haskell.org now has "Get Started" page!
    Should they be part of haskell.org or something else? Source: over 2 years ago
  • Haskell.org now has "Get Started" page!
    Haskell.org now has a big purple Get Started button that takes you to a nice short guide (haskell.org/get-started) that quickly provides all the basic info to get going with Haskell. It is aimed for beginners, to reduce choice fatigue and to give them a clear, official path to get going. Source: over 2 years ago
  • dev environment for windows
    I just jumped into the wiki "Write Yourself a Scheme in 48 hours" which looks pretty good. (although some of the text explanation is hard to understand without context).. I used cabal to set up the starter project. Sublime editor seems to work OK and I just use the git Bash shell on windows to compile the program directly on the command line. So maybe this is all good enough for now (?). It seems installing... Source: over 2 years ago
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What are some alternatives?

When comparing Apify and Haskell, you can also consider the following products

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Rust - A safe, concurrent, practical language

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions