Software Alternatives, Accelerators & Startups

Apify VS LLVM

Compare Apify VS LLVM 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.

LLVM logo LLVM

LLVM is a compiler infrastructure designed for compile-time, link-time, run-time, and...
  • 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.

  • LLVM Landing page
    Landing page //
    2019-11-06

Apify

Website
apify.com
$ Details
-
Startup details
Country
Czech Republic
City
Prague
Employees
10 - 19

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.

LLVM features and specs

  • Modularity
    LLVM is designed to be modular and flexible, allowing developers to utilize only the components they need for their specific tasks. This makes it versatile for a wide range of use cases.
  • Optimization
    LLVM provides advanced optimization techniques that allow for efficient code execution across various platforms. It utilizes a variety of standard and state-of-the-art optimization passes to improve performance.
  • Cross-Platform Support
    LLVM supports a wide range of architectures and platforms, enabling developers to build and deploy applications across multiple target environments without needing to make significant code changes.
  • Rich Ecosystem
    The LLVM project includes a wide array of tools and libraries, such as Clang and LLDB, that enhance development capabilities and provide comprehensive support for different programming languages.
  • Community and Industry Adoption
    LLVM has a robust and active community, along with backing from major technology companies. This means consistent updates, improvements, and a broad support network for troubleshooting and enhancements.

Possible disadvantages of LLVM

  • Complexity
    Due to its extensive feature set and flexibility, LLVM can be complex to understand and use, particularly for newcomers who may find its detailed API and documentation challenging.
  • Resource Intensive
    The advanced optimizations and capabilities provided by LLVM can require significant compute resources, which might not be suitable for all systems or use cases, particularly those with limited capabilities.
  • Steep Learning Curve
    LLVM's power and flexibility come with a steep learning curve, demanding a strong understanding of compiler design and architecture to fully leverage its potential.
  • Limited Legacy Support
    While LLVM supports many modern architectures, its focus on newer platforms means that it may offer limited functionality for legacy systems or older processor architectures.
  • Lack of High-Level Language Features
    LLVM is primarily focused on compiler and intermediate representation infrastructure, which means that it does not provide some high-level language features or abstractions unless provided by front-end tools.

Analysis of Apify

Overall verdict

  • Yes, Apify is considered a good choice for web scraping and automation needs due to its comprehensive features, user-friendly interface, and strong community support. It is especially beneficial for those who require efficient, large-scale data extraction and workflow automation.

Why this product is good

  • Apify is an established platform known for its robust web scraping and automation capabilities. It provides a powerful API, pre-built actors for common tasks, and allows you to create custom web scrapers with ease. The platform is scalable, supports a variety of programming languages, and offers features like scheduling, proxies, and data storage solutions. This versatility makes it a valuable tool for businesses and developers needing efficient data retrieval and workflow automation.

Recommended for

  • Developers looking for a versatile web scraping solution.
  • Businesses needing to automate data collection processes.
  • Researchers and analysts requiring extensive data from the web.
  • Marketers seeking competitive analysis through data scraping.
  • Tech enthusiasts interested in exploring web automation tools.

Apify videos

Apify product news - 2019/01/30

LLVM videos

Interview with LLVM Foundation President Tanya Lattner

More videos:

  • Review - [COSCUP2021] A trip about how I contribute to LLVM
  • Review - Introduction to LLVM Building simple program analysis tools and instrumentation

Category Popularity

0-100% (relative to Apify and LLVM)
Web Scraping
100 100%
0% 0
IDE
0 0%
100% 100
Data Extraction
100 100%
0% 0
Email Marketing
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 LLVM

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...

LLVM Reviews

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

Based on our record, LLVM should be more popular than Apify. It has been mentiond 55 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.

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 / about 2 months 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 / 3 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 / 10 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 / 10 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 / 11 months ago
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LLVM mentions (55)

  • macOS Sequoia is certified to Unix 03
    Apple has made some substantial open source contributions. - LLVM - https://llvm.org/ - They are the stewards of CUPS (Common UNIX Printing System) - https://www.cups.org/ - Darwin kernel is open source - https://github.com/apple-oss-distributions/xnu. - Source: Hacker News / 9 months ago
  • Why you should keep an eye on Apache DataFusion and its community.
    Similarly, LLVM revolutionized the world of programming languages and compilers. Since its creation, we've seen many new languages being created of increased complexity. - Source: dev.to / 11 months ago
  • Yes, Ruby is fast, but…
    In conclusion, none of the proposed changes to the Ruby version of the code makes a dent in the Crystal version. This is not entirely Crystal's doing: it uses the LLVM backend, which generates very optimized binaries. - Source: dev.to / about 1 year ago
  • Playing with DragonRuby Game Toolkit (DRGTK)
    This Ruby implementation is based on mruby and LLVM and it’s commercial software but cheap. - Source: dev.to / about 1 year ago
  • Ask HN: Which books/resources to understand modern Assembler?
    'Computer Architeture: A Quantitative Apporach" and/or more specific design types (mips, arm, etc) can be found under the Morgan Kaufmann Series in Computer Architeture and Design. "Getting Started with LLVM Core Libraries: Get to Grips With Llvm Essentials and Use the Core Libraries to Build Advanced Tools " "The Architecture of Open Source Applications (Volume 1) : LLVM" https://aosabook.org/en/v1/llvm.html... - Source: Hacker News / about 1 year ago
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What are some alternatives?

When comparing Apify and LLVM, 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.

clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.

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

GNU Compiler Collection - The GNU Compiler Collection (GCC) is a compiler system produced by the GNU Project supporting...

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

Tiny C Compiler - The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.