Software Alternatives, Accelerators & Startups

Apify VS Apache ab

Compare Apify VS Apache ab and see what are their differences

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Apify logo Apify

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

Apache ab logo Apache ab

Apache ab is a tool for benchmarking Apache Hypertext Transfer Protocol (HTTP) server.
  • 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.

  • Apache ab Landing page
    Landing page //
    2019-10-18

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.

Apache ab features and specs

  • Ease of Use
    Apache ab is simple and straightforward to use, making it accessible for users who need to quickly perform a basic load test on their web servers.
  • Quick Installation
    Being part of the Apache HTTP Server Project, ab can be easily installed as part of the Apache suite, allowing for rapid setup on systems that already have Apache installed.
  • Lightweight Tool
    As a command-line tool, Apache ab has low overhead and is lightweight, making it suitable for running quickly without significantly affecting the host system's performance.
  • Basic Benchmarking
    Apache ab allows users to measure the performance of web servers with basic metrics like requests per second and time per request, useful for initial performance assessments.

Possible disadvantages of Apache ab

  • Limited Features
    Apache ab lacks advanced testing features such as simulating complex user behavior or supporting advanced web protocols beyond HTTP/1.x, limiting its applicability for comprehensive performance testing.
  • Single URL Testing
    It can only test one URL at a time, which can be a significant limitation when trying to benchmark websites that require testing multiple endpoints simultaneously.
  • No GUI
    As a purely command-line tool, Apache ab does not provide a graphical user interface, which can be challenging for users who prefer or require a visual interface for operations and data analysis.
  • Potential for Bias
    Since it is designed for basic testing, results from Apache ab might not reflect real-world user interactions accurately, potentially leading to biased or incomplete performance insights.

Apify videos

Apify product news - 2019/01/30

Apache ab videos

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Category Popularity

0-100% (relative to Apify and Apache ab)
Web Scraping
100 100%
0% 0
Software Development
0 0%
100% 100
Data Extraction
100 100%
0% 0
Resource Profiling And Monitoring

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 Apache ab

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...

Apache ab Reviews

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Social recommendations and mentions

Apify might be a bit more popular than Apache ab. We know about 26 links to it since March 2021 and only 23 links to Apache ab. 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 / 14 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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Apache ab mentions (23)

  • Maximizing Laravel's potential: Strategies for high-performance optimization
    Benchmarking: Benchmarking is the process of testing the performance of your application under a specific workload or set of conditions. You can use tools like Apache Bench or Siege to simulate load on your application and measure how it performs. - Source: dev.to / about 1 year ago
  • Python Networking: Servers
    While the server creation is still somewhat more imperative in nature, client connections are now handled via an object which inherits off socketserver.BaseRequestHandler. This requires the implementing class to define a handle() method, which for TCP will expose self.request to hold a socket referencing the connection. Now to show multiple connections working I'll utilize the Apache HTTP server benchmarking tool.... - Source: dev.to / almost 2 years ago
  • Introduction to memory management in Node.js applications
    Using the example above, I’ll send some traffic to the endpoint using Apache Benchmark. - Source: dev.to / almost 2 years ago
  • Is there any open source tool for testing load on website
    Apache Bench aka "ab" ab -n 1000 -c 100 http://localhost:3000/ 1000 requests with a concurrency of 100 https://httpd.apache.org/docs/2.4/programs/ab.html. - Source: Hacker News / about 2 years ago
  • Has anyone ever performed a load test on a Wordpress site ?
    Apache Testbench is an option. It's a cli tool that simulate some level of traffic. Source: about 2 years ago
View more

What are some alternatives?

When comparing Apify and Apache ab, 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.

VisualVM - VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...

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

OProfile - OProfile is an open source project that includes a statistical profiler, capable of profiling all running code at low overhead.

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

Eclipse Memory Analyzer - The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 350 open source projects, including runtimes, tools and frameworks.