# alirezamika/autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Repository: https://github.com/alirezamika/autoscraper
Canonical: https://ross.abutalabs.com/products/autoscraper
Language: Python
License: MIT
License Family: permissive
Topics: scraping, scraper, scrape, webscraping, crawler, web-scraping, ai, artificial-intelligence, python, webautomation, automation, machine-learning
Last push: 2026-07-29T17:17:55+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 8, longevity 100
- inputs: {"age_days": 2193, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7904, forks 817 (observed 2026-08-28T04:10:09.371042+00:00)

## What it is
AutoScraper is a Python library that automatically learns scraping rules from a URL or HTML content plus a list of sample data you want to extract. The learned scraper object can then be reused on new pages to fetch similar elements or exact matching values.

## Use cases
- scrape all post titles from a stackoverflow question page
- extract live stock prices from yahoo finance
- learn scraping rules from example data instead of writing css selectors
- reuse a learned scraper on new urls to get similar content
- scrape product prices and names from e-commerce pages
- extract urls or html tag values from a web page automatically

## When to choose
- you want to scrape structured data without hand-writing selectors or xpath
- you have sample values of what you want and need rules generated automatically
- you need a lightweight python library for repeated scraping of similar pages

## When to avoid
- you need javascript-rendered page scraping out of the box
- you need large-scale distributed crawling infrastructure
- you need full control over parsing logic for complex or highly dynamic sites

## Facets
- artifact type: library
- maturity: stable
- function: web-scraping, machine-learning, parser
- domain: crawlers, web-development, machine-learning
- platform: python, cross-platform
- tags: scraper, automatic-rule-learning, crawler, data-extraction, automation

## Member repositories
- alirezamika/autoscraper (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:09.371042+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:23.424014+00:00, confidence not recorded.
  - readme: https://github.com/alirezamika/autoscraper (fetched 2026-08-28T04:10:09.371042+00:00, sha 2e9a288cfdd6)
  - registry_pypi: https://pypi.org/pypi/autoscraper/json (fetched 2026-08-29T08:30:02.983747+00:00, sha ea7b476a236f)
- Data as of 2026-08-30T08:39:29.467469+00:00.