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Alternatives to Octoparse

Ordered by how much they overlap with Octoparse, then by score.

8 alternatives

Alternatives, ranked

  1. Anaconda

    Anaconda is a Python and package management platform for data science, running on Windows, Mac, and Linux, with paid plans from $15/user/month.

    • Runs on more platforms
    • No shared features
    No dated release history published
    316 0.0 = Compare

  2. Bright Data

    Public web data platform providing Scraping Browser, Web Scraper IDE, residential proxy networks and structured datasets.

    • Runs on more platforms
    • No shared features
    No dated release history published
    382 0.0 = Compare

  3. Diffbot

    AI-driven web extraction and Knowledge Graph platform turning unstructured web pages into structured entity databases.

    • Runs on more platforms
    • No shared features
    No dated release history published
    494 0.0 = Compare

  4. Import.io

    Enterprise web data integration platform providing automated web data extraction, cleansing and machine learning analytics.

    • Runs on more platforms
    • No shared features
    No dated release history published
    656 0.0 = Compare

  5. MATLAB

    Numeric computation and programming environment for algorithm development, analysis and visualization.

    • Runs on more platforms
    • No shared features
    No dated release history published
    750 0.0 = Compare

  6. ParseHub

    Desktop visual web scraper supporting dynamic AJAX, JavaScript, pagination, cookies and cloud data extraction.

    • Runs on more platforms
    • No shared features
    No dated release history published
    858 0.0 = Compare

  7. Posit Workbench

    Posit Workbench centralizes Python and R development for data science teams, deployable on AWS, Google Cloud, and Microsoft Azure.

    • No shared features
    No dated release history published
    896 0.0 = Compare

  8. SAS Viya

    SAS Viya is a data and AI platform for data management, model building, governance, and decision deployment, deployed in the cloud or on-premises.

    • Runs on more platforms
    • No shared features
    No dated release history published
    970 0.0 = Compare