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AutoScraper

PublishedLast updated

Python library that learns simple scraping rules from example values and extracts similar data from HTML pages.

AutoScraper is an open-source Python library for creating simple extraction rules from examples. Instead of hand-writing every selector, users provide a page and sample values, then reuse the learned rules on similar pages.

Key Features:

  • Example-Based Rules - Learns what to extract from values supplied by the user.
  • Lightweight Library - Fits small scraping tasks without a full crawler framework.
  • Structured Results - Returns matched data in Python-friendly structures.
  • Reusable Models - Saves and reloads learned extraction rules for later runs.
  • Python Package - Installs from PyPI for quick scripting workflows.

Choose AutoScraper for fast prototypes and simple recurring extraction jobs where example data is easier than writing selectors.

Features:
Open SourceHTML ParsingStructured DataPython Package

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Source code

alirezamika/autoscraper

  • Stars

    8.1K
  • Forks

    832
  • Last commit

    2026-07-29
  • License

    MIT
  • Language

    Python

Metrics recorded 2026-10-16

Repository details

License source: Repository license file

View Repository

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Sources

github.com

Verified against the alirezamika/autoscraper repository and the PyPI package.