Software Alternatives, Accelerators & Startups

Octoparse VS Scikit-learn

Compare Octoparse VS Scikit-learn and see what are their differences

Octoparse logo Octoparse

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

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Octoparse Landing page
    Landing page //
    2023-09-09

Extract web data in 3 steps

  1. Enter website URL you'd like to extract data from
  2. Click on the target data to extract
  3. Run the extraction and get data
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Octoparse videos

Create your first scraper with Octoparse 7 X

More videos:

  • Review - Web Scraping Amazon Products with Octoparse - Basics (PSC5)

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to Octoparse and Scikit-learn)
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 Octoparse and Scikit-learn

Octoparse Reviews

  1. I want to give this prodect a huge shout-out! It really works like a charm!

    I've been playing around with different scraping tools in the past month, trying to find the best one to help with my research project, and I have to say this new feature of auto-detection comes like a life-savor. I only need to give the software the link and it will auto-detect the content and build the crawler for me. I can even enjoy it with just a free plan!

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Octoparse. It has been mentiond 28 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.

Octoparse mentions (3)

  • Thingiverse.com
    Octoparse.com might work, they have a very nice interactive tool + 14 day free trail. Source: over 2 years ago
  • How to Scrape and Export Products Data from Aliexpress
    These are no-code solutions for scraping websites. You don’t need any technical knowledge to scrape Aliexpress using these tools. Using advanced AI-powered click and scrape tools, you can get started scraping within seconds either locally or in the cloud. Choosing a good scraping tool can save you lots of money and time as well. Source: almost 3 years ago
  • Amazon web scraping
    I have always been able to extract data without any problems with Octoparse. It is also a very easy to use tool. Source: almost 3 years ago

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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What are some alternatives?

When comparing Octoparse and Scikit-learn, 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.

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

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

OpenCV - OpenCV is the world's biggest computer vision library

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

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