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Apify VS llama.cpp

Compare Apify VS llama.cpp and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apify logo Apify

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

llama.cpp logo llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
  • 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.

Not present

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.

llama.cpp features and specs

  • Performance
    llama.cpp is designed to run efficiently on a wide range of hardware, from high-end GPUs to more modest CPUs, making it highly adaptable and performant in various environments.
  • Portability
    The codebase is lightweight and can be compiled across different operating systems including Linux, macOS, and Windows, ensuring wide accessibility and ease of deployment.
  • Ease of Use
    The repository provides comprehensive documentation and examples, making it easier for developers to integrate and utilize the library in their projects.
  • Community Support
    Being an open-source project, llama.cpp benefits from community contributions, which help in its continuous improvement and maintenance.
  • Flexibility
    It allows developers to customize and extend the functionality to better fit specific use cases or integrate with other tools and systems.

Possible disadvantages of llama.cpp

  • Limited Features
    Compared to some other machine learning libraries or frameworks, llama.cpp may have fewer out-of-the-box features, requiring more custom development for certain applications.
  • Complexity for Beginners
    Despite good documentation, users without a solid background in machine learning or programming may find it difficult to fully utilize the libraryโ€™s capabilities.
  • Scalability
    While llama.cpp is designed to be performant, scaling it for very large datasets or extensive tasks might require significant optimization or additional resources.
  • Dependency Management
    As with many open-source projects, managing dependencies and ensuring compatibility with evolving third-party libraries can be challenging.

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.

Analysis of llama.cpp

Overall verdict

  • llama.cpp is an excellent, high-performance open-source project that has become the de facto standard for running large language models locally on consumer hardware with minimal dependencies.

Why this product is good

  • Written in efficient C/C++ with no heavy dependencies, enabling fast inference even on CPUs
  • Supports GGUF quantization allowing large models to run on limited RAM and modest hardware
  • Cross-platform support including Windows, macOS, Linux, and even mobile and embedded devices
  • Hardware acceleration via CUDA, Metal, Vulkan, ROCm, and more
  • Extremely active community and rapid development with frequent updates and broad model support
  • Free and open-source under the MIT license, with a large ecosystem of tools and bindings built around it

Recommended for

  • Developers wanting to run LLMs locally without cloud dependencies
  • Privacy-conscious users who need offline inference
  • Hobbyists and researchers experimenting with quantized models on consumer hardware
  • Applications requiring lightweight, embeddable LLM inference
  • Users with limited GPU resources who need efficient CPU-based inference

Apify videos

+ Add

Apify product news - 2019/01/30

llama.cpp videos

+ Add

Local AI just leveled up... Llama.cpp vs Ollama

More videos:

  • Review - AMD Mi50 32GB Speed Test: Ollama vs Llama.cpp (GPT-OSS & Qwen3 Benchmarks)
  • Review - Ollama vs VLLM vs Llama.cpp: Best Local AI Runner in 2026?

Category Popularity

0-100% (relative to Apify and llama.cpp)

Apify

llama.cpp

Web Scraping
100 100%
Web Scraping
0% 0
AI
0 0%
AI
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
LLM
0 0%
LLM
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 llama.cpp

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...
Source: www.dashtech.org

llama.cpp Reviews

We have no reviews of llama.cpp yet.
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Social recommendations and mentions

Based on our record, Apify should be more popular than llama.cpp. It has been mentiond 44 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 (44)

  • How I Turned Canadian Open Government Data Into a Live Licence-Verification Site + API (Build Log, 2026)
    Data collection: Apify actors, one per source, that scrape the open-data endpoints and normalize them. Quebec RBQ ships a daily bulk CSV (inside a 10.8 MB zip, ~924k rows that dedupe to ~54k active licences). Ontario HCRA has no bulk file โ€” it's an internal JSON API behind the public registry. - Source: dev.to / 11 days ago
  • How to Track US Startup Funding Rounds in Real Time (Before TechCrunch Writes About Them)
    Create a free Apify account and grab your API token from Settings โ†’ API & Integrations. - Source: dev.to / 19 days ago
  • I built a Claude Code skill that finds customers, not competitors, on Reddit & LinkedIn
    BYOK. It runs on your own Apify token. No shared keys, no lock-in, no licensing chokepoint โ€” a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space. - Source: dev.to / about 1 month ago
  • Training a Twitch chat toxicity classifier on real VOD data at scale
    You need apify-client installed (pip install apify-client pandas scikit-learn). Get a free Apify API token at apify.com โ€” no card required, every account starts with $5 of credit. - Source: dev.to / about 2 months ago
  • How to scrape Shopify App Store data with Python (no API key needed)
    A free Apify account (for the API token). - Source: dev.to / about 2 months ago
View more

llama.cpp mentions (13)

  • Ask HN: How close are we to local LLM models being useful? What's the impact?
    A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 30 days ago
  • llama-bench skipped FA on capable GPUs โ€” b9437 corrects it
    Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / about 1 month ago
  • Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher
    That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 2 months ago
  • How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
    LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 2 months ago
  • Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)
    Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing Apify and llama.cpp, 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.

LM Studio - Discover, download, and run local LLMs

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

Ollama - The easiest way to run large language models locally

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

Ava PLS - Desktop app for running LLMs locally

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