Software Alternatives, Accelerators & Startups

Apify VS Google Cloud Machine Learning

Compare Apify VS Google Cloud Machine Learning 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.

Google Cloud Machine Learning logo Google Cloud Machine Learning

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
  • 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.

  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12

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.

Google Cloud Machine Learning features and specs

  • Integrated Environment
    Vertex AI offers a unified API and user interface for all types of machine learning workloads, simplifying the development and deployment process.
  • Scalability
    It allows for easy scaling from individual experiments to large-scale production models, leveraging Google Cloudโ€™s robust infrastructure.
  • Automated Machine Learning (AutoML)
    Vertex AI includes AutoML capabilities that enable users to build high-quality models with minimal intervention, making it accessible for users with varying expertise levels.
  • Integration with Google Services
    Seamless integration with other Google services, such as BigQuery, Dataflow, and Google Kubernetes Engine (GKE), enhances data processing and model deployment capabilities.
  • Cost Management
    Detailed cost management and budgeting tools help users monitor and control expenses effectively.
  • Pre-trained Models
    Access to Google's extensive library of pre-trained models can accelerate the development process and improve model performance.
  • Security
    Google Cloud's security protocols and compliance certifications ensure that data and models are safeguarded.

Possible disadvantages of Google Cloud Machine Learning

  • Complexity
    Even though Vertex AI aims to simplify machine learning operations, it may still be complex for beginners to fully leverage all its features.
  • Cost
    While providing robust tools, the expenses can add up, especially for large-scale operations or heavy usage of cloud resources.
  • Learning Curve
    There is a steep learning curve associated with mastering the various tools and services offered within the Vertex AI ecosystem.
  • Dependency on Google Ecosystem
    Heavy reliance on other Google Cloud services could become a hindrance if there's a need to migrate to a different cloud provider.
  • Limited Customization
    Pre-trained models and AutoML might limit the level of customization that advanced users require for highly specific use cases.

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

Google Cloud Machine Learning videos

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Category Popularity

0-100% (relative to Apify and Google Cloud Machine Learning)
Web Scraping
100 100%
0% 0
Data Science And Machine Learning
Data Extraction
100 100%
0% 0
Data Science Tools
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 Google Cloud Machine Learning

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...

Google Cloud Machine Learning Reviews

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Social recommendations and mentions

Apify might be a bit more popular than Google Cloud Machine Learning. We know about 46 links to it since March 2021 and only 41 links to Google Cloud Machine Learning. 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 (46)

  • Google's News API has been gone since 2016, and people still search for it
    That runs News Scraper on Apify, which is the same forty lines plus the parts that are Tedious rather than hard: both feeds, the nested publisher element, the date Normalisation, and deduplication. - Source: dev.to / 7 days ago
  • WHOIS is gone, RDAP replaced it, and a 404 does not mean what you think
    That runs an Apify Actor I maintain, Domain Scraper, because the Tedious parts are the RDAP bootstrap, the vcard unpacking and the provider Fingerprinting rather than the HTTP call. If you would rather do it yourself, Https://rdap.org/domain/ is the whole API and it needs no key. - Source: dev.to / 7 days ago
  • 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 / 26 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 / about 1 month 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 2 months ago
View more

Google Cloud Machine Learning mentions (41)

  • Google Just Declared the Chat-Log Interface Dead. Here's What Neural Expressive Actually Signals for Developers.
    For developers building on Gemini API or Vertex AI, the practical question is whether Google exposes the rendering signals that power Neural Expressive at the API level - structured output types, response format hints, media embedding signals - so that third-party applications can build the same adaptive rendering behavior rather than always falling back to raw text. That API surface isn't publicly documented yet,... - Source: dev.to / 3 months ago
  • Google Just Split Its TPU Into Two Chips. Here's What That Actually Signals About the Agentic Era.
    TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 4 months ago
  • Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership
    Across the five axes, automation depth is functional via API tool-calling. Session persistence is absent outside the Vertex AI ecosystem. Data residency introduces real exposure for regulated workloads. The standard Gemini API routes data through Google's shared infrastructure, and Google's data usage policies may use API inputs for service improvement unless you're under an enterprise agreement with explicit data... - Source: dev.to / 4 months ago
  • Automating Zero-Day Discovery in Windows Kernel Drivers with LangChain DeepAgents
    The survivors get sent to Gemini 2.5 Pro on Vertex AI. DeepZero Pipeline Source Code - Contains the Python-based triager, Ghidra extractor script, Semgrep rules, and the LangChain DeepAgents reasoning loop. - Source: dev.to / 4 months ago
  • JavaScript Awesome Package
    VertexAI - Innovate faster with enterprise-ready generative AI. - Source: dev.to / 6 months ago
View more

What are some alternatives?

When comparing Apify and Google Cloud Machine Learning, 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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python