elliotgao2/gain
Web crawling framework based on asyncio. observed · 2026-10-13
Health v2 · maintenance only
72/100
- Activity 88
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3429
- days_rel: n/a
- days_push: 72
- n_releases_24m: 0
Adoption not part of the score
2019 stars · 203 forks observed · 2026-10-13
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Gain is an asynchronous web crawling framework for Python built on asyncio, aiohttp, and lxml/pyquery. Users declare items and parsers declaratively while the framework handles concurrency, retries, and persistence.
Use cases
- scrape blog posts from a website
- crawl paginated listing pages
- extract data with CSS selectors or XPath
- build an async web spider in Python
- save scraped page content to files
- crawl websites through a proxy
When to choose
- you want a lightweight Scrapy-like framework with asyncio concurrency
- you need declarative item/parser definitions for structured scraping
- you want XPath and CSS selector support out of the box
When to avoid
- you need JavaScript rendering of dynamic pages
- you need a full-featured scraping framework with pipelines, middlewares, and a large ecosystem
- your project requires Python below 3.10
Facets
framework · maturity active
web-scraping http-client parser crawlers web-development python cross-platform asyncio aiohttp crawler spider uvloop scraping automation linux
2 sources
- readme: https://github.com/elliotgao2/gain · fetched 2026-10-13 · f3bbdb0a95c8
- registry_pypi: https://pypi.org/pypi/gain/json · fetched 2026-08-29 · f21e44474106
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| elliotgao2/gain | main | 72 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem