# qinxuye/cola

A high-level distributed crawling framework.

Repository: https://github.com/qinxuye/cola
Canonical: https://ross.abutalabs.com/products/qinxuye-cola
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2022-07-31T00:13:43+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4858, "days_push": 1495, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1499, forks 525 (observed 2026-08-28T04:04:54.139919+00:00)

## What it is
Cola is a high-level distributed crawling framework in Python for scraping pages and extracting structured data from websites. The same crawler code runs in both local and distributed master-worker modes, managed via a 'coca' command-line tool.

## Use cases
- crawl websites and extract structured data
- run a distributed web crawler across multiple workers
- scrape pages in local mode for small jobs
- manage crawler jobs from the command line
- build a custom crawler application from a project template

## When to choose
- you need to scale crawling across a master-worker cluster
- you want one codebase that works in both local and distributed modes
- you prefer a lightweight Python crawling framework with a CLI for job management

## When to avoid
- you need Python 3 support, which is not yet implemented
- you want an actively maintained project with recent releases
- you need extensive documentation or community support

## Facets
- artifact type: framework
- maturity: abandoned
- function: web-scraping, etl, cli, parser
- domain: crawlers, developer-tools
- platform: python, windows, cli
- tags: distributed-crawling, scraping-framework, master-worker, python2, data-acquisition, data-engineering, automation, linux, macos

## Member repositories
- qinxuye/cola (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:54.139919+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 2026-08-30T04:33:03.435888+00:00, confidence not recorded.
  - readme: https://github.com/qinxuye/cola (fetched 2026-08-28T04:04:54.139919+00:00, sha 4c589ba9941c)
- Data as of 2026-08-30T08:39:29.467469+00:00.