# xtuhcy/gecco

Easy to use lightweight web crawler（易用的轻量化网络爬虫）

Repository: https://github.com/xtuhcy/gecco
Canonical: https://ross.abutalabs.com/products/gecco
Language: Java
License: MIT
License Family: permissive
Topics: gecco, crawler, jsoup, fastjson, java, dynamic
Last push: 2026-01-23T12:09:19+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 63, release rhythm 8, longevity 100
- inputs: {"age_days": 3917, "days_push": 222, "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 2510, forks 868 (observed 2026-08-28T04:06:57.368370+00:00)

## What it is
Gecco is a lightweight, easy-to-use web crawler framework for Java that lets developers define crawlers with annotation-based jQuery-style CSS selectors. It integrates jsoup, httpclient, fast, and optionally Spring, Redis, and HtmlUnit for distributed and dynamic crawling.

## Use cases
- scrape product prices from e-commerce sites
- extract structured data from html pages using css selectors
- build a distributed crawler with redis
- crawl pages that load content via ajax
- extract javascript variables from web pages
- collect article content from news sites

## When to choose
- you want a simple annotation-driven Java crawler with minimal boilerplate
- you need jQuery-style CSS selector extraction
- you want optional Spring integration or Redis-based distributed crawling

## When to avoid
- you need a non-JVM language
- you need headless browser rendering of heavy JavaScript SPAs out of the box
- you need a full-featured scraping platform with a UI

## Facets
- artifact type: framework
- maturity: maintenance
- function: web-scraping, parser, http-client
- domain: crawlers, web-development, developer-tools
- platform: jvm, cross-platform
- tags: crawler, jsoup, annotation-driven, distributed-crawling, html-extraction

## Member repositories
- xtuhcy/gecco (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.368370+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 2026-08-30T02:26:26.699299+00:00, confidence not recorded.
  - readme: https://github.com/xtuhcy/gecco (fetched 2026-08-28T04:06:57.368370+00:00, sha 32795cd3e656)
- Data as of 2026-08-30T08:39:29.467469+00:00.