Software Alternatives & Startups
Register | Login

Scraping Fish VS Scikit-learn

Compare Scraping Fish VS Scikit-learn and see what are their differences

Scraping Fish

Scraping Fish is a super simple Web Scraping API. You send us a request - we return HTML. We use real browsers and rotating proxies underneath.

Rating
0 reviews
Pricing
Paid $2 / One-off (1,000 API requests)
Alternatives Is it good?
Scikit-learn

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
9Proxy
Clean. Fast. Premium Residential Proxies, Starting from $0.015/IP and $0.68/GB. sponsored
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.

Which is more popular?

Scikit-learn might be a bit more popular than Scraping Fish. We know about 40 links to it since March 2021 and only 33 links to Scraping Fish.

social mentions
33 vs 40
Data Extraction popularity
100% vs 0%
alternatives listed
61 vs 205

Base details

Website, pricing, platforms and company facts side by side.

Scraping Fish
Scikit-learn
Website scrapingfish.com scikit-learn.org
Pricing
Paid $2 / One-off (1,000 API requests) Official pricing
Open source
Platforms
Windows Linux Mac OSX Python JavaScript Java Node JS Ruby REST API Google Chrome Firefox Edge +9
—
Company 2022 —
Listed in
Data Extraction Web Scraping Web Scraping API Web Crawling +1
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1

About Scraping Fish and Scikit-learn

In their own words, as submitted to SaaSHub.

Scraping Fish
Scikit-learn

Scraping FishPowered by Mobile Proxies When using our API you leverage the power of the world's best proxies. Other web scraping services require you to pay much more to use proxies of such a quality. In Scraping Fish, this comes as the default - without additional configuration and included in...

Read more about Scraping Fish

No description of Scikit-learn yet.

Features and specs

What each product offers, as listed by its team.

Scraping Fish 6 features
Scikit-learn 5 features
  • Mobile Proxies
  • A Cluster of Real Browsers
  • JavaScript Rendering & Execution
  • Rotating Proxies
  • IPs are ethically sourced
  • Failed Requests Not Charged
  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis

An editorial look at what each product does well and who it suits.

Scraping Fish
Scikit-learn

No analysis of Scraping Fish yet.

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Videos

Walkthroughs and reviews on video.

Scraping Fish 1 video + Add
Scikit-learn 2 videos + Add

100% Success Rate with This Proxy for Web Scrapers

Learning Scikit-Learn (AI Adventures)

More videos

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Scraping Fish
Scikit-learn
100% 100%
Data Extraction
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Web Scraping
0% 0%
0% 0%
Data Science Tools
100% 100%

User comments

Share your experience with using Scraping Fish and Scikit-learn. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Scraping Fish no reviews yet
Scikit-learn no reviews yet

We have no reviews of Scraping Fish yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Scraping Fish 33 mentions
Scikit-learn 40 mentions
  • Ask HN: What are you working on? (May 2025)
    Adding a support for direct CDP connection with our custom browsers cluster that powers our web scraping API (https://scrapingfish.com/) so that our customers can integrate it into their existing workflows. - Source: Hacker News / over 1 year ago
  • Self-hosted, simple web browser service – send URL, get screenshots
    Happy to suggest another web scraping API alternative I rely on: https://scrapingfish.com. - Source: Hacker News / over 1 year ago
  • Can confirm Indeed is selling user information
    > What is a good way to web scrap [sic] them Maybe using Scraping Fish [0]? Per [1], "They [scrapingfish.com] seem to handle all the more annoying parts of web scraping: bypassing anti scraping things such as rate limits and captchas."... - Source: Hacker News / over 2 years ago

View more

  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process,... - Source: dev.to / 4 months ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab.... - Source: dev.to / 5 months ago
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable... - Source: dev.to / 5 months ago

View more

Alternatives to Scraping Fish and Scikit-learn

When comparing Scraping Fish and Scikit-learn, you can also consider the following products.

Loading...